Ervin Sejdic

PhD, Electrical Engineering; THESIS TITLE: Feature Representation Using Energy Concentration in Time-Frequency Domain For Extraction and Classification (defended in Dec. 2007), The University of Western Ontario, 2003 - 2007

MS, Electrical Engineering (transferred to Ph.D. program); RESEARCH AREA: Time-Frequency Analysis of Heart Sounds, The University of Western Ontario, 2002 - 2003

BS, Electrical Engineering - Wireless Communication, The University of Western Ontario, 1998 - 2002

Anwar, A., Khalifa, Y., Lucatorto, E., Coyle, J.L., & Sejdic, E. (2024). Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation. ARTIFICIAL INTELLIGENCE IN MEDICINE, 154, 102921.Elsevier. doi: 10.1016/j.artmed.2024.102921.

Khalifa, Y., Donohue, C., Coyle, J.L.L., & Sejdic, E. (2023). Autonomous Swallow Segment Extraction Using Deep Learning in Neck-Sensor Vibratory Signals From Patients With Dysphagia. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 27(2), 956-967.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/JBHI.2022.3224323.

Khalifa, Y., Mahoney, A.S.S., Lucatorto, E., Coyle, J.L.L., & Sejdic, E. (2023). Non-Invasive Sensor-Based Estimation of Anterior-Posterior Upper Esophageal Sphincter Opening Maximal Distension. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE, 11, 182-190.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/JTEHM.2023.3246919.

Mao, S., Dewan, S., & Ho, Y.J.I. (2023). Personalized Ranking at a Mobile App Distribution Platform. INFORMATION SYSTEMS RESEARCH, 34(3), 811-827.Institute for Operations Research and the Management Sciences (INFORMS). doi: 10.1287/isre.2022.1156.

Celik, Y., Stuart, S., Woo, W.L., Sejdic, E., & Godfrey, A. (2022). Multi-modal gait: A wearable, algorithm and data fusion approach for clinical and free-living assessment. INFORMATION FUSION, 78, 57-70.Elsevier. doi: 10.1016/j.inffus.2021.09.016.

Schwartz, R., Khalifa, Y., Lucatorto, E., Perera, S., Coyle, J., & Sejdic, E. (2022). A Preliminary Investigation of Similarities of High Resolution Cervical Auscultation Signals Between Thin Liquid Barium and Water Swallows. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE, 10, 1-9.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/JTEHM.2021.3134926.

Shu, K., Mao, S., Coyle, J.L., & Sejdic, E. (2022). Improving Non-Invasive Aspiration Detection With Auxiliary Classifier Wasserstein Generative Adversarial Networks. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 26(3), 1263-1272.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/JBHI.2021.3106565.

Bohlke, K., Zhu, X., Sparto, P.J., Redfern, M.S., Rosano, C., Sejdic, E., & Rosso, A.L. (2021). The Effect of a Verbal Cognitive Task on Postural Sway Does Not Persist When the Task Is Over. SENSORS, 21(24), 8428.MDPI. doi: 10.3390/s21248428.

Dasgupta, P., VanSwearingen, J., Godfrey, A., Redfern, M., Montero-Odasso, M., & Sejdic, E. (2021). Acceleration Gait Measures as Proxies for Motor Skill of Walking: A Narrative Review. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 29, 249-261.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TNSRE.2020.3044260.

Donohue, C., Mao, S., Sejdic, E., & Coyle, J.L. (2021). Tracking Hyoid Bone Displacement During Swallowing Without Videofluoroscopy Using Machine Learning of Vibratory Signals. DYSPHAGIA, 36(2), 259-269.Springer Nature. doi: 10.1007/s00455-020-10124-z.

Hwang, S.I., Chen, H.Y., Fenk, C., Rothfuss, M.A., Bocan, K.N., Franconi, N.G., Morgan, G.J., White, D.L., Burkert, S.C., Ellis, J.E., Vinay, M.L., Rometo, D.A., Finegold, D.N., Sejdic, E., Cho, S.K., & Star, A. (2021). Breath Acetone Sensing Based on Single-Walled Carbon Nanotube-Titanium Dioxide Hybrids Enabled by a Custom-Built Dehumidifier. ACS SENSORS, 6(3), 871-880.American Chemical Society (ACS). doi: 10.1021/acssensors.0c01973.

Khalifa, Y., Donohue, C., Coyle, J.L., & Sejdic, E. (2021). Upper Esophageal Sphincter Opening Segmentation With Convolutional Recurren Neural Networks in High Resolution Cervical Auscultation. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 25(2), 493-503.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/JBHI.2020.3000057.

Mao, S., Sabry, A., Khalifa, Y., Coyle, J.L., & Sejdic, E. (2021). Estimation of laryngeal closure duration during swallowing without invasive X-rays. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 115, 610-618.Elsevier. doi: 10.1016/j.future.2020.09.040.

Montero-Odasso, M., van der Velde, N., Alexander, N.B., Becker, C., Blain, H., Camicioli, R., Close, J., Duan, L., Duque, G., Ganz, D.A., Gomez, F., Hausdorff, J.M., Hogan, D.B., Jauregui, J.R., Kenny, R.A., Lipsitz, L.A., Logan, P.A., Lord, S.R., Mallet, L., Marsh, D.R., Martin, F.C., Milisen, K., Nieuwboer, A., Petrovic, M., Ryg, J., Sejdic, E., Sherrington, C., Skelton, D.A., Speechley, M., Tan, M.P., Todd, C., van der Cammen, T., Verghese, J., Kamkar, N., Sarquis-Adamson, Y., & Masud, T. (2021). New horizons in falls prevention and management for older adults: a global initiative. AGE AND AGEING, 50(5), 1499-1507.Oxford University Press (OUP). doi: 10.1093/ageing/afab076.

Frisch, S.O., Brown, J., Faramand, Z., Stemler, J., Sejdic, E., Martin-Gill, C., Callaway, C., Sereika, S.M., & Al-Zaiti, S.S. (2020). Exploring the complex interactions of baseline patient factors to improve nursing triage of acute coronary syndrome. RESEARCH IN NURSING & HEALTH, 43(4), 356-364.Wiley. doi: 10.1002/nur.22045.

Khalaf, A., Sejdic, E., & Akcakaya, M. (2020). Hybrid EEG–fTCD Brain–Computer Interfaces. In Neuroergonomics. (pp. 295-314).Springer Nature. doi: 10.1007/978-3-030-34784-0_15.

Khalifa, Y., Coyle, J.L., & Sejdic, E. (2020). Non-invasive identification of swallows via deep learning in high resolution cervical auscultation recordings. SCIENTIFIC REPORTS, 10(1), 8704.Springer Nature. doi: 10.1038/s41598-020-65492-1.

Phalen, H., Coffman, B.A., Ghuman, A., Sejdic, E., & Salisbury, D.F. (2020). Non-negative Matrix Factorization Reveals Resting-State Cortical Alpha Network Abnormalities in the First-Episode Schizophrenia Spectrum. BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING, 5(10), 961-970.Elsevier. doi: 10.1016/j.bpsc.2019.06.010.

SejdiĆ, E., Khalifa, Y., Mahoney, A.S., & Coyle, J.L. (2020). ARTIFICIAL INTELLIGENCE AND DYSPHAGIA: NOVEL SOLUTIONS TO OLD PROBLEMS. Arquivos de Gastroenterologia, 57(04), 343-346.FapUNIFESP (SciELO). doi: 10.1590/s0004-2803.202000000-66.

Suffoletto, B., Dasgupta, P., Uymatiao, R., Huber, J., Flickinger, K., & Sejdic, E. (2020). A Preliminary Study Using Smartphone Accelerometers to Sense Gait Impairments Due to Alcohol Intoxication. JOURNAL OF STUDIES ON ALCOHOL AND DRUGS, 81(4), 505-510.Alcohol Research Documentation. doi: 10.15288/jsad.2020.81.505.

Zhang, Z., Perera, S., Donohue, C., Kurosu, A., Mahoney, A.S., Coyle, J.L., & Sejdic, E. (2020). The Prediction of Risk of Penetration-Aspiration Via Hyoid Bone Displacement Features. DYSPHAGIA, 35(1), 66-72.Springer Nature. doi: 10.1007/s00455-019-10000-5.

Bian, L., Sorescu, D.C., Chen, L., White, D.L., Burkert, S.C., Khalifa, Y., Zhang, Z., Sejdic, E., & Star, A. (2019). Machine-Learning Identification of the Sensing Descriptors Relevant in Molecular Interactions with Metal Nanoparticle-Decorated Nanotube Field-Effect Transistors. ACS APPLIED MATERIALS & INTERFACES, 11(1), 1219-1227.American Chemical Society (ACS). doi: 10.1021/acsami.8b15785.

Dagois, E., Khalaf, A., Sejdic, E., & Akcakaya, M. (2019). Transfer Learning for a Multimodal Hybrid EEG-fTCD Brain-Computer Interface. IEEE SENSORS LETTERS, 3(1), 1-4.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/LSENS.2018.2879466.

Dakovic, M., Stankovic, L., & Sejdic, E. (2019). Local Smoothness of Graph Signals. In Rodino, L. (Ed.). MATHEMATICAL PROBLEMS IN ENGINEERING, 2019(1).Wiley. doi: 10.1155/2019/3208569.

He, Q., Perera, S., Khalifa, Y., Zhang, Z., Mahoney, A.S., Sabry, A., Donohue, C., Coyie, J.L., & Sejdic, E. (2019). The Association of High Resolution Cervical Auscultation Signal Features With Hyoid Bone Displacement During Swallowing. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 27(9), 1810-1816.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TNSRE.2019.2935302.

Hwang, S.I., Franconi, N.G., Rothfuss, M.A., Bocan, K.N., Bian, L., White, D.L., Burkert, S.C., Euler, R.W., Sopher, B.J., Vinay, M.L., Sejdic, E., & Star, A. (2019). Tetrahydrocannabinol Detection Using Semiconductor-Enriched Single-Walled Carbon Nanotube Chemiresistors. ACS SENSORS, 4(8), 2084-2093.American Chemical Society (ACS). doi: 10.1021/acssensors.9b00762.

Khalaf, A., Sejdic, E., & Akcakaya, M. (2019). A novel motor imagery hybrid brain computer interface using EEG and functional transcranial Doppler ultrasound. JOURNAL OF NEUROSCIENCE METHODS, 313, 44-53.Elsevier. doi: 10.1016/j.jneumeth.2018.11.017.

Khalaf, A., Sejdic, E., & Akcakaya, M. (2019). EEG-fTCD hybrid brain computer interface using template matching and wavelet decomposition. JOURNAL OF NEURAL ENGINEERING, 16(3), 036014.IOP Publishing. doi: 10.1088/1741-2552/ab0b7f.

Khalaf, A., Sejdic, E., & Akcakaya, M. (2019). Common spatial pattern and wavelet decomposition for motor imagery EEG-fTCD brain-computer interface. JOURNAL OF NEUROSCIENCE METHODS, 320, 98-106.Elsevier. doi: 10.1016/j.jneumeth.2019.03.018.

Kurosu, A., Coyle, J.L., Dudik, J.M., & Sejdic, E. (2019). Detection of Swallow Kinematic Events From Acoustic High-Resolution Cervical Auscultation Signals in Patients With Stroke. ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION, 100(3), 501-508.Elsevier. doi: 10.1016/j.apmr.2018.05.038.

Mao, S., Zhang, Z., Khalifa, Y., Donohue, C., Coyle, J.L., & Sejdic, E. (2019). Neck sensor-supported hyoid bone movement tracking during swallowing. ROYAL SOCIETY OPEN SCIENCE, 6(7), 181982.The Royal Society. doi: 10.1098/rsos.181982.

Masood, F., Abdullah, H.A., Seth, N., Simmons, H., Brunner, K., Sejdic, E., Schalk, D.R., Graham, W.A., Hoggatt, A.F., Rosene, D.L., Sledge, J.B., & Nesathurai, S. (2019). Neurophysiological Characterization of a Non-Human Primate Model of Traumatic Spinal Cord Injury Utilizing Fine-Wire EMG Electrodes. SENSORS, 19(15), 3303.MDPI. doi: 10.3390/s19153303.

Rebrion, C., Zhang, Z., Khalifa, Y., Ramadan, M., Kurosu, A., Coyle, J.L., Perera, S., & Sejdic, E. (2019). High-Resolution Cervical Auscultation Signal Features Reflect Vertical and Horizontal Displacements of the Hyoid Bone During Swallowing. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE, 7, 1-9.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/JTEHM.2018.2881468.

Sejdic, E., & Su, F.C. (2019). What the future holds for Biomedical Engineering Online?. BIOMEDICAL ENGINEERING ONLINE, 18(1), 81.Springer Nature. doi: 10.1186/s12938-019-0702-x.

Sejdic, E., Malandraki, G.A., & Coyle, J.L. (2019). Computational Deglutition Using signal- and image -processing methods to understand swallowing and associated disorders. IEEE SIGNAL PROCESSING MAGAZINE, 36(1), 138-146.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/MSP.2018.2875863.

Stanković, L., & Sejdić, E. (2019). Preface. vii-viii.

Stanković, L., Daković, M., & Sejdić, E. (2019). Introduction to Graph Signal Processing. 3-108.Springer Nature. doi: 10.1007/978-3-030-03574-7_1.

Stanković, L., Daković, M., & Sejdić, E. (2019). Vertex-Frequency Energy Distributions. In Vertex-Frequency Analysis of Graph Signals. (pp. 377-415).Springer Nature. doi: 10.1007/978-3-030-03574-7_11.

Stankovic, L., Mandic, D.P., Dakovic, M., Kisil, I., Sejdic, E., & Constantinides, A.G. (2019). Understanding the Basis of Graph Signal Processing via an Intuitive Example-Driven Approach. IEEE SIGNAL PROCESSING MAGAZINE, 36(6), 133-145.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/MSP.2019.2929832.

Stankovic, L., Sejdic, E., Stankovic, S., Dakovic, M., & Orovic, I. (2019). A Tutorial on Sparse Signal Reconstruction and Its Applications in Signal Processing. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 38(3), 1206-1263.Springer Nature. doi: 10.1007/s00034-018-0909-2.

Zhang, Z., & Sejdic, E. (2019). Radiological images and machine learning: Trends, perspectives, and prospects. COMPUTERS IN BIOLOGY AND MEDICINE, 108, 354-370.Elsevier. doi: 10.1016/j.compbiomed.2019.02.017.

Al-Zaiti, S., Sejdic, E., Nemec, J., Callaway, C., Soman, P., & Lux, R. (2018). Spatial indices of repolarization correlate with non-ST elevation myocardial ischemia in patients with chest pain. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 56(1), 1-12.Springer Nature. doi: 10.1007/s11517-017-1659-1.

Bocan, K.N., Mickle, M.H., & Sejdic, E. (2018). Simulating, Modeling, and Sensing Variable Tissues for Wireless Implantable Medical Devices. IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 66(7), 3547-3556.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TMTT.2018.2811497.

Dasgupta, P., VanSwearingen, J., & Sejdic, E. (2018). "You can tell by the way I use my walk." Predicting the presence of cognitive load with gait measurements. BIOMEDICAL ENGINEERING ONLINE, 17(1), 122.Springer Nature. doi: 10.1186/s12938-018-0555-8.

Dudik, J.M., Coyle, J.L., El-Jaroudi, A., Mao, Z.H., Sun, M., & Sejdic, E. (2018). Deep learning for classification of normal swallows in adults. NEUROCOMPUTING, 285, 1-9.Elsevier. doi: 10.1016/j.neucom.2017.12.059.

Dudik, J.M., Kurosu, A., Coyle, J.L., & Sejdic, E. (2018). Dysphagia and its effects on swallowing sounds and vibrations in adults. BIOMEDICAL ENGINEERING ONLINE, 17(1), 69.Springer Nature. doi: 10.1186/s12938-018-0501-9.

Gatouillat, A., Badr, Y., Massot, B., & Sejdic, E. (2018). Internet of Medical Things: A Review of Recent Contributions Dealing With Cyber-Physical Systems in Medicine. IEEE INTERNET OF THINGS JOURNAL, 5(5), 3810-3822.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/JIOT.2018.2849014.

Gatouillat, A., Massot, B., Badr, Y., Sejdić, E., & Gehin, C. (2018). Evaluation of a real-time low-power cardiorespiratory sensor for the IoT. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 00, 5382-5385.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/embc.2018.8513550.

Gurbeta, L., Badnjevic, A., Maksimovic, M., Omanovic-Miklicanin, E., & Sejdic, E. (2018). A telehealth system for automated diagnosis of asthma and chronical obstructive pulmonary disease. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 25(9), 1213-1217.Oxford University Press (OUP). doi: 10.1093/jamia/ocy055.

Jestrovic, I., Coyle, J.L., Perera, S., & Sejdic, E. (2018). Influence of attention and bolus volume on brain organization during swallowing. BRAIN STRUCTURE & FUNCTION, 223(2), 955-964.Springer Nature. doi: 10.1007/s00429-017-1535-7.

Khalaf, A., Sejdic, E., & Akcakaya, M. (2018). Towards optimal visual presentation design for hybrid EEG-fTCD brain-computer interfaces. JOURNAL OF NEURAL ENGINEERING, 15(5), 056019.IOP Publishing. doi: 10.1088/1741-2552/aad46f.

Khalaf, A., Sybeldon, M., Sejdic, E., & Akcakaya, M. (2018). A brain-computer interface based on functional transcranial doppler ultrasound using wavelet transform and support vector machines. JOURNAL OF NEUROSCIENCE METHODS, 293, 174-182.Elsevier. doi: 10.1016/j.jneumeth.2017.10.003.

Montero-Odasso, M., Speechley, M., Muir-Hunter, S.W., Sarquis-Adamson, Y., Sposato, L.A., Hachinski, V., Borrie, M., Wells, J., Black, A., Sejdic, E., Bherer, L., & Chertkow, H. (2018). Motor and Cognitive Trajectories Before Dementia: Results from Gait and Brain Study. JOURNAL OF THE AMERICAN GERIATRICS SOCIETY, 66(9), 1676-1683.Wiley. doi: 10.1111/jgs.15341.

Movahedi, F., Coyle, J.L., & Sejdic, E. (2018). Deep Belief Networks for Electroencephalography: A Review of Recent Contributions and Future Outlooks. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 22(3), 642-652.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/JBHI.2017.2727218.

Rothfuss, M.A., Franconi, N.G., Bocan, K.N., Unadkat, J.V., Gimbel, M.L., Mickle, M.H., & Sejdic, E. (2018). Implantable Energy Harvesting Stents for Transcutaneous Wireless Monitoring of Peripheral Artery Disease. IEEE SENSORS JOURNAL, 18(5), 2077-2090.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/JSEN.2017.2787498.

Rothfuss, M.A., Franconi, N.G., Star, A., Akcakaya, M., Gimbel, M.L., & Sejdic, E. (2018). Automatic Early-Onset Free Flap Failure Detection for Implantable Biomedical Devices. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 65(10), 2290-2297.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TBME.2018.2793763.

Rothfuss, M.A., Gimbel, M.L., & Sejdic, E. (2018). Automatic Patency Discrimination in the Pig Bilateral Femoral Veins for Biomedical Implants. IEEE SENSORS JOURNAL, 18(1), 255-262.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/JSEN.2017.2765239.

Sejdic, E., Orovic, I., & Stankovic, S. (2018). A software companion for compressively sensed time-frequency processing of sparse nonstationary signals. SOFTWAREX, 8, 9-10.Elsevier. doi: 10.1016/j.softx.2017.08.006.

Sejdic, E., Orovic, I., & Stankovic, S. (2018). Compressive sensing meets time-frequency: An overview of recent advances in time-frequency processing of sparse signals. DIGITAL SIGNAL PROCESSING, 77, 22-35.Elsevier. doi: 10.1016/j.dsp.2017.07.016.

Seth, N., Simmons, H.A., Masood, F., Graham, W.A., Rosene, D.L., Westmoreland, S.V., Cummings, S.M., Gwardjan, B., Sejdic, E., Hoggatt, A.F., Schalk, D.R., Abdullah, H.A., Sledge, J.B., & Nesathurai, S. (2018). Model of Traumatic Spinal Cord Injury for Evaluating Pharmacologic Treatments in Cynomolgus Macaques (Macaca fasicularis). COMPARATIVE MEDICINE, 68(1), 63-73.

Stankovic, L., Sejdic, E., & Dakovic, M. (2018). Vertex-Frequency Energy Distributions. IEEE SIGNAL PROCESSING LETTERS, 25(3), 358-362.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/LSP.2017.2764884.

Stankovic, L., Sejdic, I., & Dakovic, M. (2018). Reduced Interference Vertex-Frequency Distributions. IEEE SIGNAL PROCESSING LETTERS, 25(9), 1393-1397.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/LSP.2018.2860250.

Zhang, Z., Coyle, J.L., & Sejdic, E. (2018). Automatic hyoid bone detection in fluoroscopic images using deep learning. SCIENTIFIC REPORTS, 8(1), 12310.Springer Nature. doi: 10.1038/s41598-018-30182-6.

Alqahtani, B.A., Ferchak, M.A., Huppert, T.J., Sejdic, E., Perera, S., Greenspan, S.L., & Sparto, P.J. (2017). Standing balance and strength measurements in older adults living in residential care communities. AGING CLINICAL AND EXPERIMENTAL RESEARCH, 29(5), 1021-1030.Springer Nature. doi: 10.1007/s40520-016-0693-4.

Bocan, K.N., Mickle, M.H., & Sejdic, E. (2017). Tissue Variability and Antennas for Power Transfer to Wireless Implantable Medical Devices. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE, 5, 1-11.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/JTEHM.2017.2723391.

Bocan, K.N., Mickle, M.H., & Sejdic, E. (2017). Multi-Disciplinary Challenges in Tissue Modeling for Wireless Electromagnetic Powering: A Review. IEEE SENSORS JOURNAL, 17(20), 6498-6509.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/JSEN.2017.2748338.

Gatouillat, A., Dumortier, A., Perera, S., Badr, Y., Gehin, C., & Sejdic, E. (2017). Analysis of the pen pressure and grip force signal during basic drawing tasks: The timing and speed changes impact drawing characteristics. COMPUTERS IN BIOLOGY AND MEDICINE, 87, 124-131.Elsevier. doi: 10.1016/j.compbiomed.2017.05.020.

Gurbeta, L., Dzemic, Z., Bego, T., Sejdic, E., & Badnjevic, A. (2017). Testing of Anesthesia Machines and Defibrillators in Healthcare Institutions. JOURNAL OF MEDICAL SYSTEMS, 41(9), 133.Springer Nature. doi: 10.1007/s10916-017-0783-7.

Jestrovic, I., Coyle, J.L., & Sejdic, E. (2017). A fast algorithm for vertex-frequency representations of signals on graphs. SIGNAL PROCESSING, 131, 483-491.Elsevier. doi: 10.1016/j.sigpro.2016.09.008.

Jestrovic, I., Coyle, J.L., & Sejdic, E. (2017). DIFFERENCES IN BRAIN NETWORKS DURING CONSECUTIVE SWALLOWS DETECTED USING AN OPTIMIZED VERTEX-FREQUENCY ALGORITHM. NEUROSCIENCE, 344, 113-123.Elsevier. doi: 10.1016/j.neuroscience.2016.11.047.

Karim, H.T., Huppert, T.J., Erickson, K.I., Wollam, M.E., Sparto, P.J., Sejdic, E., & VanSwearingen, J.M. (2017). Motor sequence learning-induced neural efficiency in functional brain connectivity. BEHAVIOURAL BRAIN RESEARCH, 319, 87-95.Elsevier. doi: 10.1016/j.bbr.2016.11.021.

Montero-Odasso, M.M., Sarquis-Adamson, Y., Speechley, M., Borrie, M.J., Hachinski, V.C., Wells, J., Riccio, P.M., Schapira, M., Sejdic, E., Camicioli, R.M., Bartha, R., Mcllroy, W.E., & Muir-Hunter, S. (2017). Association of Dual-Task Gait With Incident Dementia in Mild Cognitive Impairment Results From the Gait and Brain Study. JAMA NEUROLOGY, 74(7), 857-865.American Medical Association (AMA). doi: 10.1001/jamaneurol.2017.0643.

Movahedi, F., Kurosu, A., Coyle, J.L., Perera, S., & Sejdic, E. (2017). A comparison between swallowing sounds and vibrations in patients with dysphagia. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 144, 179-187.Elsevier. doi: 10.1016/j.cmpb.2017.03.009.

Movahedi, F., Kurosu, A., Coyle, J.L., Perera, S., & Sejdic, E. (2017). Anatomical Directional Dissimilarities in Tri-axial Swallowing Accelerometry Signals. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 25(5), 447-458.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TNSRE.2016.2577882.

Rothfuss, M.A., Unadkat, J.V., Gimbel, M.L., Mickle, M.H., & Sejdic, E. (2017). TOTALLY IMPLANTABLE WIRELESS ULTRASONIC DOPPLER BLOOD FLOWMETERS: TOWARD ACCURATE MINIATURIZED CHRONIC MONITORS. ULTRASOUND IN MEDICINE AND BIOLOGY, 43(3), 561-578.Elsevier. doi: 10.1016/j.ultrasmedbio.2016.11.005.

Rubezic, V., Djurovic, I., & Sejdic, E. (2017). Average wavelet coefficient-based detection of chaos in oscillatory circuits. COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 36(1), 188-201.Emerald. doi: 10.1108/COMPEL-05-2016-0198.

Stankovic, L., Dakovic, M., & Sejdic, E. (2017). Vertex-Frequency Analysis: A Way to Localize Graph Spectral Components. IEEE SIGNAL PROCESSING MAGAZINE, 34(4), 176-182.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/MSP.2017.2696572.

Zhang, Z., VanSwearingen, J., Brach, J.S., Perera, S., & Sejdic, E. (2017). Most suitable mother wavelet for the analysis of fractal properties of stride interval time series via the average wavelet coefficient method. COMPUTERS IN BIOLOGY AND MEDICINE, 80, 175-184.Elsevier. doi: 10.1016/j.compbiomed.2016.11.009.

Bleton, H., Perera, S., & Sejdic, E. (2016). Cognitive tasks and cerebral blood flow through anterior cerebral arteries: a study via functional transcranial Doppler ultrasound recordings. BMC MEDICAL IMAGING, 16(1), 22.Springer Nature. doi: 10.1186/s12880-016-0125-0.

Boashash, B., Stevenson, N.J., Rankine, L.J., Azemi, G., Sejdić, E., Aviyente, S., Akan, A., Mert, A., Dong, S., Omidvarnia, A., Zarjam, P., O'Toole, J.M., & Colditz, P. (2016). Time-Frequency Methodologies in Neurosciences. In Time-Frequency Signal Analysis and Processing. (pp. 915-966).Elsevier. doi: 10.1016/b978-0-12-398499-9.00016-9.

Boashash, B., Touati, S., Auger, F., Flandrin, P., Chassande-Mottin, E., Stanković, L.J., Sucic, V., Khan, N., Sejdić, E., Saulig, N., Shafi, I., Ahmad, J., & Shah, S.I. (2016). Measures, Performance Assessment, and Enhancement of TFDs. In Time-Frequency Signal Analysis and Processing. (pp. 387-452).Elsevier. doi: 10.1016/b978-0-12-398499-9.00007-8.

Bocan, K.N., & Sejdic, E. (2016). Adaptive Transcutaneous Power Transfer to Implantable Devices: A State of the Art Review. SENSORS, 16(3), 393.MDPI. doi: 10.3390/s16030393.

Dudik, J.M., Coyle, J.L., EI-Jaroudi, A., Sun, M., & Sejdic, E. (2016). A matched dual-tree wavelet denoising for tri-axial swallowing vibrations. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 27, 112-121.Elsevier. doi: 10.1016/j.bspc.2016.01.012.

Dudik, J.M., Kurosu, A., Coyle, J.L., & Sejdic, E. (2016). A statistical analysis of cervical auscultation signals from adults with unsafe airway protection. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 13(1), 7.Springer Nature. doi: 10.1186/s12984-015-0110-9.

Dumortier, A., Beckjord, E., Shiffman, S., & Sejdic, E. (2016). Classifying smoking urges via machine learning. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 137, 203-213.Elsevier. doi: 10.1016/j.cmpb.2016.09.016.

Flandrin, P., Williams, W.J., Baraniuk, R.G., Jones, D.L., Putland, G.R., Papandreou-Suppappola, A., Boashash, B., Xia, X.G., Jawad, B.K., Khan, N.A., Khan, N.A., Sejdić, E., Assous, S., & Ventosa, S. (2016). Advanced Design and Specifications of TFDs. In Time-Frequency Signal Analysis and Processing. (pp. 237-327).Elsevier. doi: 10.1016/b978-0-12-398499-9.00005-4.

Jestrovic, I., Coyle, J.L., Perera, S., & Sejdic, E. (2016). Functional connectivity patterns of normal human swallowing: difference among various viscosity swallows in normal and chin-tuck head positions. BRAIN RESEARCH, 1652, 158-169.Elsevier. doi: 10.1016/j.brainres.2016.09.041.

Rothfuss, M.A., Franconi, N.G., Unadkat, J.V., Gimbel, M.L., Star, A., Mickle, M.H., & Sejdic, E. (2016). A System for Simple Real-Time Anastomotic Failure Detection and Wireless Blood Flow Monitoring in the Lower Limbs. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE, 4, 1-15.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/jtehm.2016.2588504.

Sejdic, E., Lowry, K.A., Bellanca, J., Perera, S., Redfern, M.S., & Brach, J.S. (2016). Extraction of Stride Events From Gait Accelerometry During Treadmill Walking. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE, 4, 1-11.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/JTEHM.2015.2504961.

Sejdić, E., Movahedi, F., Zhang, Z., Kurosu, A., & Coyle, J.L. (2016). The effects of compressive sensing on extracted features from tri-axial swallowing accelerometry signals. In Ahmad, F. (Ed.). Proceedings of SPIE--the International Society for Optical Engineering, 9857, 985703-985703-5.SPIE, the international society for optics and photonics. doi: 10.1117/12.2225466.

Sethi, A., Callaway, C.W., Sejdic, E., Terhorst, L., & Skidmore, E.R. (2016). Heart Rate Variability Is Associated with Motor Outcome 3-Months after Stroke. JOURNAL OF STROKE & CEREBROVASCULAR DISEASES, 25(1), 129-135.Elsevier. doi: 10.1016/j.jstrokecerebrovasdis.2015.09.005.

Stanković, S., Orović, I., & Sejdić, E. (2016). Multimedia Signals and Systems, Basic and Advanced Algorithms for Signal Processing. 1-391.Springer Nature. doi: 10.1007/978-3-319-23950-7.

Thurston, R.C., Aizenstein, H.J., Derby, C.A., Sejdic, E., & Maki, P.M. (2016). Menopausal hot flashes and white matter hyperintensities. MENOPAUSE-THE JOURNAL OF THE NORTH AMERICAN MENOPAUSE SOCIETY, 23(1), 27-32.Wolters Kluwer. doi: 10.1097/GME.0000000000000481.

Al-Zaiti, S.S., Martin-Gill, C., Sejdic, E., Alrawashdeh, M., & Callaway, C. (2015). Rationale, development, and implementation of the Electrocardiographic Methods for the Prehospital Identification of Non-ST Elevation Myocardial Infarction Events (EMPIRE). JOURNAL OF ELECTROCARDIOLOGY, 48(6), 921-926.Elsevier. doi: 10.1016/j.jelectrocard.2015.08.014.

Bleton, H., & Sejdic, E. (2015). A cerebral blood flow evaluation during cognitive tasks following a cervical spinal cord injury: a case study using transcranial Doppler recordings. COGNITIVE NEURODYNAMICS, 9(6), 615-626.Springer Nature. doi: 10.1007/s11571-015-9355-z.

Dudik, J.M., Coyle, J.L., & Sejdic, E. (2015). Dysphagia Screening: Contributions of Cervical Auscultation Signals and Modern Signal-Processing Techniques. IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 45(4), 465-477.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/THMS.2015.2408615.

Dudik, J.M., Jestrovic, I., Luan, B., Coyle, J.L., & Sejdic, E. (2015). A comparative analysis of swallowing accelerometry and sounds during saliva swallows. BIOMEDICAL ENGINEERING ONLINE, 14(1), 3.Springer Nature. doi: 10.1186/1475-925X-14-3.

Dudik, J.M., Jestrovic, I., Luan, B., Coyle, J.L., & Sejdic, E. (2015). Characteristics of Dry Chin-Tuck Swallowing Vibrations and Sounds. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 62(10), 2456-2464.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TBME.2015.2431999.

Dudik, J.M., Kurosu, A., Coyle, J.L., & Sejdic, E. (2015). A comparative analysis of DBSCAN, K-means, and quadratic variation algorithms for automatic identification of swallows from swallowing accelerometry signals. COMPUTERS IN BIOLOGY AND MEDICINE, 59, 10-18.Elsevier. doi: 10.1016/j.compbiomed.2015.01.007.

Gatouillat, A., Bleton, H., VanSwearingen, J., Perera, S., Thompson, S., Smith, T., & Sejdic, E. (2015). Cognitive tasks during walking affect cerebral blood flow signal features in middle cerebral arteries and their correlation to gait characteristics. BEHAVIORAL AND BRAIN FUNCTIONS, 11(1), 29.Springer Nature. doi: 10.1186/s12993-015-0073-9.

Jestrovic, I., Coyle, J.L., & Sejdic, E. (2015). Characterizing functional connectivity patterns during saliva swallows in different head positions. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 12(1), 61.Springer Nature. doi: 10.1186/s12984-015-0049-x.

Jestrovic, I., Coyle, J.L., & Sejdic, E. (2015). Decoding human swallowing via electroencephalography: a state-of-the-art review. JOURNAL OF NEURAL ENGINEERING, 12(5), 051001.IOP Publishing. doi: 10.1088/1741-2560/12/5/051001.

Millecamps, A., Lowry, K.A., Brach, J.S., Perera, S., Redfern, M.S., & Sejdic, E. (2015). Understanding the effects of pre-processing on extracted signal features from gait accelerometry signals. COMPUTERS IN BIOLOGY AND MEDICINE, 62, 164-174.Elsevier. doi: 10.1016/j.compbiomed.2015.03.027.

Sejdic, E. (2015). Gear students up for big medical data. NATURE, 518(7540), 483. doi: 10.1038/518483a.

Sejdić, E. (2015). Gear students up for big medical data. Nature, 518(7540), 483.Springer Nature. doi: 10.1038/518483a.

Sejdic, E., Millecamps, A., Teoli, J., Rothfuss, M.A., Franconi, N.G., Perera, S., Jones, A.K., Brach, J.S., & Mickle, M.H. (2015). Assessing interactions among multiple physiological systems during walking outside a laboratory: An Android based gait monitor. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 122(3), 450-461.Elsevier. doi: 10.1016/j.cmpb.2015.08.012.

Thurston, R.C., Maki, P.M., Derby, C.A., Sejdic, E., & Aizenstein, H.J. (2015). Menopausal hot flashes and the default mode network. FERTILITY AND STERILITY, 103(6), 1572-U265.Elsevier. doi: 10.1016/j.fertnstert.2015.03.008.

Unadkat, J.V., Rothfuss, M., Mickle, M.H., Sejdic, E., & Gimbel, M.L. (2015). The Development of a Wireless Implantable Blood Flow Monitor. PLASTIC AND RECONSTRUCTIVE SURGERY, 136(1), 199-203.Wolters Kluwer. doi: 10.1097/PRS.0000000000001372.

Beauchet, O., Allali, G., Montero-Odasso, M., Sejdic, E., Fantino, B., & Annweiler, C. (2014). Motor Phenotype of Decline in Cognitive Performance among Community-Dwellers without Dementia: Population-Based Study and Meta-Analysis. In Brucki, S. (Ed.). PLOS ONE, 9(6), e99318.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0099318.

Beauchet, O., Launay, C.P., Sejdic, E., Allali, G., & Annweiler, C. (2014). Motor imagery of gait: a new way to detect mild cognitive impairment?. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 11(1), 66.Springer Nature. doi: 10.1186/1743-0003-11-66.

Can-Cimino, A., Sejdic, E., & Chaparro, L.F. (2014). Asynchronous processing of sparse signals. IET SIGNAL PROCESSING, 8(3), 257-266.Institution of Engineering and Technology (IET). doi: 10.1049/iet-spr.2013.0398.

Ellis, D., Sejdic, E., Zabjek, K., & Chau, T. (2014). A Pediatric Correlational Study of Stride Interval Dynamics, Energy Expenditure and Activity Level. PEDIATRIC EXERCISE SCIENCE, 26(3), 242-249.Human Kinetics. doi: 10.1123/pes.2013-0117.

Franconi, N.G., Bunger, A., Sejdic, E., & Mickle, M.H. (2014). Wireless communications in oil and gas wells. Energy Technology, 2(12), 996-1005.Wiley. doi: 10.1002/ente.201402067.

Gimbel, M.L., Rothfuss, M.A., Unadkat, J.V., Mickle, M.H., & Sejdic, E. (2014). Venous flow monitoring using an entirely implanted, wireless Doppler sensor. Plastic and Reconstructive Surgery, 133(3S), 126.

Gimbel, M.L., Rothfuss, M.A., Unadkat, J.V., Mickle, M.H., & Sejdic, E. (2014). Abstract 109. Plastic & Reconstructive Surgery, 133(3S), 126.Wolters Kluwer. doi: 10.1097/01.prs.0000444934.85733.e9.

Gou, P., Kraut, N.D., Feigel, I.M., Bai, H., Morgan, G.J., Chen, Y., Tang, Y., Bocan, K., Stachel, J., Berger, L., Mickle, M., Sejdic, E., & Star, A. (2014). Carbon Nanotube Chemiresistor for Wireless pH Sensing. SCIENTIFIC REPORTS, 4(1), 4468.Springer Nature. doi: 10.1038/srep04468.

Jestrovic, I., Coyle, J.L., & Sejdic, E. (2014). The effects of increased fluid viscosity on stationary characteristics of EEG signal in healthy adults. BRAIN RESEARCH, 1589, 45-53.Elsevier. doi: 10.1016/j.brainres.2014.09.035.

Li, M., Huang, H., Boninger, M.L., & Sejdic, E. (2014). An analysis of cerebral blood flow from middle cerebral arteries during cognitive tasks via functional transcranial Doppler recordings. NEUROSCIENCE RESEARCH, 84, 19-26.Elsevier. doi: 10.1016/j.neures.2014.02.009.

Muhei-aldin, O., VanSwearingen, J., Karim, H., Huppert, T., Sparto, P.J., Erickson, K.I., & Sejdic, E. (2014). An investigation of fMRI time series stationarity during motor sequence learning foot tapping tasks. JOURNAL OF NEUROSCIENCE METHODS, 227, 75-82.Elsevier. doi: 10.1016/j.jneumeth.2014.02.003.

Schaefer, A., Brach, J.S., Perera, S., & Sejdic, E. (2014). A comparative analysis of spectral exponent estimation techniques for 1/f^β processes with applications to the analysis of stride interval time series. JOURNAL OF NEUROSCIENCE METHODS, 222, 118-130.Elsevier. doi: 10.1016/j.jneumeth.2013.10.017.

Sejdic, E. (2014). Adapt current tools for use with big data. Nature, 507(7492), 306.

Sejdic, E. (2014). Adapt current tools for handling big data. NATURE, 507(7492), 306. doi: 10.1038/507306a.

Sejdić, E. (2014). Adapt current tools for handling big data. Nature, 507(7492), 306.Springer Nature. doi: 10.1038/507306a.

Sejdic, E., Lowry, K.A., Bellanca, J., Redfern, M.S., & Brach, J.S. (2014). A Comprehensive Assessment of Gait Accelerometry Signals in Time, Frequency and Time-Frequency Domains. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 22(3), 603-612.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TNSRE.2013.2265887.

Sejdic, E., Rothfuss, M.A., Gimbel, M.L., & Mickle, M.H. (2014). Comparative analysis of compressive sensing approaches for recovery of missing samples in implantable wireless Doppler device. IET SIGNAL PROCESSING, 8(3), 230-238.Institution of Engineering and Technology (IET). doi: 10.1049/iet-spr.2013.0402.

Chaparro, L.F., Sejdic, E., Can, A., Alkishriwo, O.A., Senay, S., & Akan, A. (2013). Asynchronous Representation and Processing of Nonstationary Signals. IEEE SIGNAL PROCESSING MAGAZINE, 30(6), 42-52.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/MSP.2013.2267811.

Djurovic, I., Rubezic, V., & Sejdic, E. (2013). A scaling exponent-based detector of chaos in oscillatory circuits. PHYSICA D-NONLINEAR PHENOMENA, 242(1), 67-73.Elsevier. doi: 10.1016/j.physd.2012.09.003.

Graham, W.A., Rosene, D.L., Westmoreland, S., Miller, A., Sejdic, E., & Nesathurai, S. (2013). Humane non-human primate model of traumatic spinal cord injury utilizing electromyography as a measure of impairment and recovery. Open Journal of Veterinary Medicine, 3(1), 86-89.

Huang, H., & Sejdic, E. (2013). ASSESSMENT OF RESTING-STATE BLOOD FLOW THROUGH ANTERIOR CEREBRAL ARTERIES USING TRANS-CRANIAL DOPPLER RECORDINGS. ULTRASOUND IN MEDICINE AND BIOLOGY, 39(12), 2285-2294.Elsevier. doi: 10.1016/j.ultrasmedbio.2013.06.016.

Jestrovic, I., Dudik, J.M., Luan, B., Coyle, J.L., & Sejdic, E. (2013). Baseline characteristics of cervical auscultation signals during various head maneuvers. COMPUTERS IN BIOLOGY AND MEDICINE, 43(12), 2014-2020.Elsevier. doi: 10.1016/j.compbiomed.2013.10.005.

Jestrovic, I., Dudik, J.M., Luan, B., Coyle, J.L., & Sejdic, E. (2013). The effects of increased fluid viscosity on swallowing sounds in healthy adults. BIOMEDICAL ENGINEERING ONLINE, 12(1), 90.Springer Nature. doi: 10.1186/1475-925X-12-90.

Lowry, K.A., Sejdi, E., & Brach, J.S. (2013). Acceleration-based gait analysis: accelerating mobility assessment in older adults. Aging Health, 9(5), 465-467.Taylor & Francis. doi: 10.2217/ahe.13.53.

Luan, B., Soeroes, P., & Sejdic, E. (2013). A Study of Brain Networks Associated with Swallowing Using Graph-Theoretical Approaches. PLOS ONE, 8(8), e73577.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0073577.

Luan, B., Sörös, P., & Sejdić, E. (2013). A Study of Brain Networks Associated with Swallowing Using Graph-Theoretical Approaches. In He, Y. (Ed.). PLoS ONE, 8(8), e73577.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0073577.

Sejdic, E., & Lipsitz, L.A. (2013). Necessity of noise in physiology and medicine. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 111(2), 459-470.Elsevier. doi: 10.1016/j.cmpb.2013.03.014.

Sejdic, E., Findlay, B., Merey, C., & Chau, T. (2013). The effects of listening to music or viewing television on human gait. COMPUTERS IN BIOLOGY AND MEDICINE, 43(10), 1497-1501.Elsevier. doi: 10.1016/j.compbiomed.2013.07.019.

Sejdic, E., Kalika, D., & Czarnek, N. (2013). An Analysis of Resting-State Functional Transcranial Doppler Recordings from Middle Cerebral Arteries. In Paul, F. (Ed.). PLOS ONE, 8(2), e55405.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0055405.

Sejdic, E., Rothfuss, M.A., Stachel, J.R., Franconi, N.G., Bocan, K., Lovell, M.R., & Mickle, M.H. (2013). Innovation and Translation Efforts in Wireless Medical Connectivity, Telemedicine and eMedicine: A Story from the RFID Center of Excellence at the University of Pittsburgh. ANNALS OF BIOMEDICAL ENGINEERING, 41(9), 1913-1925.Springer Nature. doi: 10.1007/s10439-013-0873-8.

Sejdic, E., Steele, C.M., & Chau, T. (2013). Classification of Penetration-Aspiration Versus Healthy Swallows Using Dual-Axis Swallowing Accelerometry Signals in Dysphagic Subjects. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 60(7), 1859-1866.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TBME.2013.2243730.

Sledge, J., Graham, W.A., Westmoreland, S., Sejdic, E., Miller, A., Hoggatt, A., & Nesathurai, S. (2013). Spinal cord injury models in non human primates: Are lesions created by sharp instruments relevant to human injuries?. MEDICAL HYPOTHESES, 81(4), 747-748.Elsevier. doi: 10.1016/j.mehy.2013.07.040.

Steele, C.M., Sejdic, E., & Chau, T. (2013). Noninvasive Detection of Thin-Liquid Aspiration Using Dual-Axis Swallowing Accelerometry. DYSPHAGIA, 28(1), 105-112.Springer Nature. doi: 10.1007/s00455-012-9418-9.

Merey, C., Kushki, A., Sejdic, E., Berall, G., & Chau, T. (2012). Quantitative classification of pediatric swallowing through accelerometry. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 9(1), 34.Springer Nature. doi: 10.1186/1743-0003-9-34.

Milosevic, M., McConville, K.M.V., Sejdic, E., Masani, K., Kyan, M.J., & Popovic, M.R. (2012). Visualization of Trunk Muscle Synergies During Sitting Perturbations Using Self-Organizing Maps (SOM). IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 59(9), 2516-2523.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TBME.2012.2205577.

Myrden, A., Kushki, A., Sejdic, E., & Chau, T. (2012). Towards increased data transmission rate for a three-class metabolic brain-computer interface based on transcranial Doppler ultrasound. NEUROSCIENCE LETTERS, 528(2), 99-103.Elsevier. doi: 10.1016/j.neulet.2012.09.030.

Sasaki, C.T., & Leder, S.B. (2012). Comments on Selected Recent Dysphagia Literature. Dysphagia, 27(2), 284-290.Springer Nature. doi: 10.1007/s00455-011-9365-x.

Sejdic, E., Can, A., Chaparro, L.F., Steele, C.M., & Chau, T. (2012). Compressive sampling of swallowing accelerometry signals using time-frequency dictionaries based on modulated discrete prolate spheroidal sequences. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2012(1), 101.Springer Nature. doi: 10.1186/1687-6180-2012-101.

Sejdic, E., Fu, Y., Pak, A., Fairley, J.A., & Chau, T. (2012). The Effects of Rhythmic Sensory Cues on the Temporal Dynamics of Human Gait. In Ernst, M.O. (Ed.). PLOS ONE, 7(8), e43104.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0043104.

Sejdic, E., Jeffery, R., Vanden Kroonenberg, A., & Chau, T. (2012). Quantitative classification of pediatric swallowing through accelerometry. Human Movement Science, 31(3), 695-706.

Sejdic, E., Jeffery, R., Vanden Kroonenberg, A., & Chau, T. (2012). An investigation of stride interval stationarity while listening to music or viewing television. HUMAN MOVEMENT SCIENCE, 31(3), 695-706.Elsevier. doi: 10.1016/j.humov.2011.05.007.

Sejdic, E., Steele, C.M., & Chau, T. (2012). A Method for Removal of Low Frequency Components Associated with Head Movements from Dual-Axis Swallowing Accelerometry Signals. In Lam, W. (Ed.). PLOS ONE, 7(3), e33464.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0033464.

Stanković, S., Orović, I., & Sejdić, E. (2012). Multimedia Signals and Systems. 9781461442080, 1-349.Springer Nature. doi: 10.1007/978-1-4614-4208-0.

Beheshti, S., Hashemi, M., Sejdic, E., & Chau, T. (2011). Mean Square Error Estimation in Thresholding. IEEE SIGNAL PROCESSING LETTERS, 18(2), 103-106.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/LSP.2010.2097590.

Myrden, A.J., Kushki, A., Sejdic, E., Guerguerian, A.M., & Chau, T. (2011). Adhesion Molecules, Altered Vasoreactivity and Brain Atrophy in Type 2 Diabetes. PLoS ONE, 6(9).

Myrden, A.J.B., Kushki, A., Sejdic, E., Guerguerian, A.M., & Chau, T. (2011). A Brain-Computer Interface Based on Bilateral Transcranial Doppler Ultrasound. In Cymbalyuk, G. (Ed.). PLOS ONE, 6(9), e24170.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0024170.

Nikjoo, M.S., Steele, C.M., Sejdic, E., & Chau, T. (2011). Automatic discrimination between safe and unsafe swallowing using a reputation-based classifier. BIOMEDICAL ENGINEERING ONLINE, 10(1), 100.Springer Nature. doi: 10.1186/1475-925X-10-100.

Novak, V., Zhao, P., Manor, B., Sejdic, E., Alsop, D., Abduljalil, A., Roberson, P.K., Munshi, M., & Novak, P. (2011). Adhesion Molecules, Altered Vasoreactivity, and Brain Atrophy in Type 2 Diabetes. DIABETES CARE, 34(11), 2438-2441.American Diabetes Association. doi: 10.2337/dc11-0969.

Sejdic, E., Djurovic, I., & Stankovic, L. (2011). Fractional Fourier transform as a signal processing tool: An overview of recent developments. SIGNAL PROCESSING, 91(6), 1351-1369.Elsevier. doi: 10.1016/j.sigpro.2010.10.008.

Sejdic, E., Steele, C.M., & Chau, T. (2011). Scaling analysis of baseline dual-axis cervical accelerometry signals. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 103(3), 113-120.Elsevier. doi: 10.1016/j.cmpb.2010.06.010.

Steele, C.M., Hung, D., Sejdic, E., Chau, T., & Fraser, S. (2011). Variability in Execution of the Chin-Down Maneuver by Healthy Adults. FOLIA PHONIATRICA ET LOGOPAEDICA, 63(1), 36-42.Karger Publishers. doi: 10.1159/000319737.

Alves, N., Sejdic, E., Sahota, B., & Chau, T. (2010). The effect of accelerometer location on the classification of single-site forearm mechanomyograms. BIOMEDICAL ENGINEERING ONLINE, 9(1), 23.Springer Nature. doi: 10.1186/1475-925X-9-23.

Blain, S., Power, S.D., Sejdic, E., Mihailidis, A., & Chau, T. (2010). A cardiorespiratory classifier of voluntary and involuntary electrodermal activity. BIOMEDICAL ENGINEERING ONLINE, 9(1), 11.Springer Nature. doi: 10.1186/1475-925X-9-11.

Chang, M.D., Sejdic, E., Wright, V., & Chau, T. (2010). Measures of dynamic stability: Detecting differences between walking overground and on a compliant surface. HUMAN MOVEMENT SCIENCE, 29(6), 977-986.Elsevier. doi: 10.1016/j.humov.2010.04.009.

Damouras, S., Chang, M.D., Sejdic, E., & Chau, T. (2010). An empirical examination of detrended fluctuation analysis for gait data. GAIT & POSTURE, 31(3), 336-340.Elsevier. doi: 10.1016/j.gaitpost.2009.12.002.

Damouras, S., Sejdic, E., Steele, C.M., & Chau, T. (2010). An on-line swallow detection algorithm based on the quadratic variation of dual-axis accelerometry. IEEE Transactions on Signal Processing, 58(6), 3352-3359.

Damouras, S., Sejdic, E., Steele, C.M., & Chau, T. (2010). An Online Swallow Detection Algorithm Based on the Quadratic Variation of Dual-Axis Accelerometry. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 58(6), 3352-3359.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TSP.2010.2043972.

Fairley, J.A., Sejdic, E., & Chau, T. (2010). The effect of treadmill walking on the stride interval dynamics of children. HUMAN MOVEMENT SCIENCE, 29(6), 987-998.Elsevier. doi: 10.1016/j.humov.2010.07.015.

Fairley, J.A., Sejdic, E., & Chau, T. (2010). An investigation of stride interval stationarity in a paediatric population. HUMAN MOVEMENT SCIENCE, 29(1), 125-136.Elsevier. doi: 10.1016/j.humov.2009.09.002.

Fairley, J.A., Sejdić, E., & Chau, T. (2010). Investigating the correlation between paediatric stride interval persistence and gross energy expenditure. BMC Research Notes, 3(1), 47.Springer Nature. doi: 10.1186/1756-0500-3-47.

Lee, J., Sejdic, E., Steele, C.M., & Chau, T. (2010). Effects of liquid stimuli on dual-axis swallowing accelerometry signals in a healthy population. BIOMEDICAL ENGINEERING ONLINE, 9(1), 7.Springer Nature. doi: 10.1186/1475-925X-9-7.

Orovic, I., Stankovic, S., Chau, T., Steele, C.M., & Sejdic, E. (2010). Time-Frequency Analysis and Hermite Projection Method Applied to Swallowing Accelerometry Signals. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2010(1), 323125.Springer Nature. doi: 10.1155/2010/323125.

Sejdic, E., & Djurovic, I. (2010). Robust S-transform based on L-DFT. ELECTRONICS LETTERS, 46(4), 304-305.Institution of Engineering and Technology (IET). doi: 10.1049/el.2010.2334.

Sejdic, E., Falk, T.H., Steele, C.M., & Chau, T. (2010). Vocalization removal for improved automatic segmentation of dual-axis swallowing accelerometry signals. MEDICAL ENGINEERING & PHYSICS, 32(6), 668-672.Elsevier. doi: 10.1016/j.medengphy.2010.04.008.

Sejdic, E., Komisar, V., Steele, C.M., & Chau, T. (2010). Baseline Characteristics of Dual-Axis Cervical Accelerometry Signals. ANNALS OF BIOMEDICAL ENGINEERING, 38(3), 1048-1059.Springer Nature. doi: 10.1007/s10439-009-9874-z.

Sejdic, E., Steele, C.M., & Chau, T. (2010). Understanding the statistical persistence of dual-axis swallowing accelerometry signals. Computers in Biology and Medicine, 40, 11-12.

Sejdic, E., Steele, C.M., & Chau, T. (2010). A procedure for denoising dual-axis swallowing accelerometry signals. PHYSIOLOGICAL MEASUREMENT, 31(1), N1-N9.IOP Publishing. doi: 10.1088/0967-3334/31/1/N01.

Sejdic, E., Steele, C.M., & Chau, T. (2010). Understanding the statistical persistence of dual-axis swallowing accelerometry signals. COMPUTERS IN BIOLOGY AND MEDICINE, 40(11-12), 839-844.Elsevier. doi: 10.1016/j.compbiomed.2010.09.002.

Sejdić, E., Steele, C.M., & Chau, T. (2010). The effects of head movement on dual-axis cervical accelerometry signals. BMC Research Notes, 3(1), 269.Springer Nature. doi: 10.1186/1756-0500-3-269.

Hung, D., Sejdic, E., Steele, C.M., & Chau, T. (2009). Extraction of average neck flexion angle during swallowing in neutral and chin-tuck positions. BIOMEDICAL ENGINEERING ONLINE, 8(1), 25.Springer Nature. doi: 10.1186/1475-925X-8-25.

Sejdic, E., Djurovic, I., & Jiang, J. (2009). Time-frequency feature representation using energy concentration: An overview of recent advances. DIGITAL SIGNAL PROCESSING, 19(1), 153-183.Elsevier. doi: 10.1016/j.dsp.2007.12.004.

Sejdic, E., Steele, C.M., & Chau, T. (2009). Segmentation of Dual-Axis Swallowing Accelerometry Signals in Healthy Subjects With Analysis of Anthropometric Effects on Duration of Swallowing Activities. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 56(4), 1090-1097.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TBME.2008.2010504.

Djurovic, I., Sejdic, E., & Jiang, J. (2008). Frequency-based window width optimization for S-transform. AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 62(4), 245-250.Elsevier. doi: 10.1016/j.aeue.2007.03.014.

Sejdic, E., Djurovic, I., & Jiang, J. (2008). A window width optimized S-transform. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2008(1), 672941.Springer Nature. doi: 10.1155/2008/672941.

Sejdic, E., Djurovic, I., & Stankovic, L.J. (2008). Quantitative performance analysis of scalogram as instantaneous frequency estimator. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 56(8), 3837-3845.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TSP.2008.924856.

Sejdic, E., Stankovic, L., Dakovic, M., & Jiang, J. (2008). Instantaneous frequency estimation using the S-transform. IEEE SIGNAL PROCESSING LETTERS, 15, 309-312.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/LSP.2008.917014.

Sejdic, E., & Jiang, J. (2007). Selective regional correlation for pattern recognition. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 37(1), 82-93.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/TSMCA.2006.886333.

Rehorn, A.G., Sejdic, E., & Jiang, J. (2006). Fault diagnosis in machine tools using selective regional correlation. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 20(5), 1221-1238.Elsevier. doi: 10.1016/j.ymssp.2005.01.010.

Khalifa, Y., Donohue, C., Coyle, J.L., & Sejdić, E. (2021). On the robustness of high-resolution cervical auscultation-based detection of upper esophageal sphincter opening duration in diverse populations. In Ahmad, F., Markopoulos, P.P., & Ouyang, B. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 11730, (p. 117300m-117300m-6).SPIE, the international society for optics and photonics. doi: 10.1117/12.2588591.

Khalifa, Y., Hawks, J., & Sejdić, E. (2021). Single neuron-based neural networks are as efficient as dense deep neural networks in binary and multi-class recognition problems. In Ahmad, F., Markopoulos, P.P., & Ouyang, B. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 11730, (p. 117300o-117300o-8).SPIE, the international society for optics and photonics. doi: 10.1117/12.2588610.

Caliskan, H., Mahoney, A.S., Coyle, J.L., & Sejdić, E. (2020). Automated Bolus Detection in Videofluoroscopic Images of Swallowing Using Mask-RCNN. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 00, (pp. 2173-2177).Institute of Electrical and Electronics Engineers (IEEE).United States. doi: 10.1109/embc44109.2020.9176664.

Dagois, E., Khalaf, A., Sejdic, E., & Akcakaya, M. (2019). Bhattacharyya Distance-based Transfer Learning for a Hybrid Eeg-ftcd Brain-computer Interface. In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 00, (pp. 3082-3086).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icassp.2019.8683308.

Khalaf, A., Sejdic, E., & Akcakaya, M. (2019). Mutual Information for Transfer Learning in SSVEP Hybrid EEG-fTCD Brain-Computer Interfaces. In 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 00, (pp. 941-944).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ner.2019.8717018.

Yu, C., Khalifa, Y., & Sejdic, E. (2019). Silent Aspiration Detection in High Resolution Cervical Auscultations. In 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 00, (pp. 1-4).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/bhi.2019.8834576.

Zhu, Y., Xiang, Y., Sen, S., Sejdic, E., Nehorai, A., & Akcakaya, M. (2019). Clutter Identification based on sparse recovery with dynamically changing dictionary sizes for cognitive radar. In Ahmad, F. (Ed.). In Proceedings of SPIE--the International Society for Optical Engineering, 10989, (p. 109890l-109890l-8).SPIE, the international society for optics and photonics. doi: 10.1117/12.2520154.

Gatouillat, A., Massot, B., Badr, Y., Sejdić, E., & Gehin, C. (2018). Building IoT-Enabled Wearable Medical Devices: An Application to a Wearable, Multiparametric, Cardiorespiratory Sensor. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies, 1, (pp. 109-118).Scitepress. doi: 10.5220/0006729101090118.

Daković, M., Stanković, L., & Sejdić, E. (2017). Windowing Methods for Graph Signal Localization. In 2017 22nd International Conference on Digital Signal Processing (DSP), 2017-August, (pp. 1-5).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icdsp.2017.8096047.

Daković, M., Stanković, L., Lutovac, B., Sejdić, E., & Šekara, T.B. (2017). A Resistive Circuits Analysis Using Graph Spectral Decomposition. In 2017 6th Mediterranean Conference on Embedded Computing (MECO), (pp. 1-4).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/meco.2017.7977245.

Kelsey, M., Palumbo, R.V., Urbaneja, A., Akcakaya, M., Huang, J., Kleckner, I.R., Barrett, L.F., Quigley, K.S., Sejdic, E., & Goodwin, M.S. (2017). Artifact detection in electrodermal activity using sparse recovery. In Ahmad, F. (Ed.). In Proceedings of SPIE--the International Society for Optical Engineering, 10211, (p. 102110d-102110d-10).SPIE, the international society for optics and photonics. doi: 10.1117/12.2264027.

Khalifa, Y., Zhang, Z., & Sejdić, E. (2017). Sparse Recovery of Time-Frequency Representations via Recurrent Neural Networks. In 2017 22nd International Conference on Digital Signal Processing (DSP), 2017-August, (pp. 1-5).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icdsp.2017.8096132.

Sybeldon, M., Schmit, L., Sejdic, E., & Akcakaya, M. (2017). Transfer Learning for EEG Based BCI Using Learn++.NSE and Mutual Information. In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (pp. 2632-2636).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icassp.2017.7952633.

Bocan, K., & Sejdić, E. (2016). Transmission Mechanisms with Variable Tissue Properties in a Paired Electrode System for Transcutaneous Power. In 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2016-July, (pp. 2739-2742).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/iscas.2016.7539159.

Khalaf, A., Sybeldon, M., Sejdic, E., & Akcakaya, M. (2016). An EEG and fTCD Based BCI for Control. In 2016 50th Asilomar Conference on Signals, Systems and Computers, (pp. 1285-1289).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/acssc.2016.7869581.

Zahnd, E., Brach, J.S., Perera, S., & Sejdić, E. (2016). Prediction of Stride Interval Time Series. In 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016-September, (pp. 1-5).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/sam.2016.7569660.

Zahnd, E., Movahedi, F., Coyle, J.L., Sejdić, E., & Menon, P.G. (2016). Correlating Tri-Accelerometer Swallowing Vibrations and Hyoid Bone Movement in Patients With Dysphagia. In Volume 3: Biomedical and Biotechnology Engineering, 3, (p. v003t04a083).ASME International. doi: 10.1115/imece2016-66133.

Can-Cimino, A., Chaparro, L.F., & Sejdic, E. (2015). Discrete Prolate Spheroidal Sequence Based Filter Banks for the Analysis of Nonstationary Signals. In 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), (pp. 77-80).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/camsap.2015.7383740.

Haight, J.M., Cole, D.G., & Sejdic, E. (2015). The optimized design and use of automated control systems - State of the literature and proposed research. In 9th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2015, 2, (pp. 1294-1300).

Mats, L., Mickle, M.H., Zhou, Z., Stachel, J.R., Bocan, K., Franconi, N.G., Rothfuss, M.R., Berger, L., Butler, T., Ubinger, C., Lauer, S., Sai, V., & Sejdić, E. (2015). A Paradigm Shift in Passive Radio Frequency Identification Tag Development and Manufacturing Flexibility to Provide Active Tag Functionality. In Journal of Low Power Electronics, 11(3), (pp. 323-332).American Scientific Publishers. doi: 10.1166/jolpe.2015.1399.

Can-Cimino, A., Chaparro, L.F., & Sejdić, E. (2014). Asynchronous signal-dependent non-uniform sampler. In Ahmad, F. (Ed.). In Proceedings of SPIE--the International Society for Optical Engineering, 9109, (p. 910907-910907-10).SPIE, the international society for optics and photonics. doi: 10.1117/12.2050568.

Sejdić, E., Dudik, J.M., Kurosu, A., Jestrović, I., & Coyle, J.L. (2014). Understanding differences between healthy swallows and penetration-aspiration swallows via compressive sensing of tri-axial swallowing accelerometry signals. In Ahmad, F. (Ed.). In Proceedings of SPIE--the International Society for Optical Engineering, 9190, (p. 91090m-91090m-6).SPIE, the international society for optics and photonics.United States. doi: 10.1117/12.2050356.

Liu, X., Stachel, J.R., Sejdić, E., Mickle, M.H., & Berger, J.L. (2013). The UHF Gen 2 RFID System for Transcutaenous Operation for Orthopedic Implants. In 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 1, (pp. 1-4).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/i2mtc.2013.6555688.

Sejdic, E., & Chaparro, L.F. (2013). Time-frequency representations based on compressive samples. In European Signal Processing Conference.

Sejdić, E., & Chaparro, L.F. (2013). A compressive sampling approach for brain-machine interfaces based on transcranial doppler sonography: a case study of resting-state maximal cerebral blood velocity signals. In 2013 IEEE Global Conference on Signal and Information Processing, (pp. 13-16).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/globalsip.2013.6736799.

Stachel, J.R., Sejdió, E., Ogirala, A., & Mickle, M.H. (2013). The Impact of the Internet of Things on Implanted Medical Devices including Pacemakers, and ICDs. In 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), (pp. 839-844).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/i2mtc.2013.6555533.

Can, A., Sejdić, E., & Chaparro, L. (2012). Asynchronous sampling and reconstruction of sparse signals. In European Signal Processing Conference, (pp. 854-858).

Can, A., Sejdić, E., Alkishriwo, O., & Chaparro, L.F. (2012). COMPRESSIVE ASYNCHRONOUS DECOMPOSITION OF HEART SOUNDS. In 2012 IEEE Statistical Signal Processing Workshop (SSP), (pp. 736-739).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ssp.2012.6319808.

Orović, I., Draganić, A., Stanković, S., & Sejdić, E. (2012). A UNIFIED APPROACH FOR THE ESTIMATION OF INSTANTANEOUS FREQUENCY AND ITS DERIVATIVES FOR NON-STATIONARY SIGNALS ANALYSIS. 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA).Montreal, QC, Canada. doi: 10.1109/isspa.2012.6310460.

Sejdić, E., & Chaparro, L.F. (2012). Recovering heart sounds from sparse samples. 2012 38th Annual Northeast Bioengineering Conference (NEBEC).Philadelphia, PA, USA. doi: 10.1109/nebc.2012.6206985.

Can, A., Sejdić, E., & Chaparro, L.F. (2011). An Asynchronous Scale Decomposition for Biomedical Signals. In 2011 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), (pp. 1-6).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/spmb.2011.6120107.

Sejdić, E., & Veledar, E. (2011). An Algorithm for Classification of Opening Snaps and Third Heart Sounds Based on Wavelet Decomposition. In IFMBE Proceedings, 37, (pp. 404-407).Springer Nature. doi: 10.1007/978-3-642-23508-5_105.

Alshaer, H., Fernie, G.R., Sejdić, E., & Bradley, T.D. (2009). Adaptive Segmentation and Normalization of Breathing Acoustic Data of Subjects with Obstructive Sleep Apnea. In 2009 IEEE Toronto International Conference Science and Technology for Humanity (TIC-STH), (pp. 279-284).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/tic-sth.2009.5444489.

Sejdić, E., Ozertem, U., Djurović, I., & Erdogmus, D. (2009). A NEW APPROACH FOR THE REASSIGNMENT OF TIME-FREQUENCY REPRESENTATIONS. In 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, (pp. 2997-3000).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icassp.2009.4960254.

Steele, C., Hung, D., Sejdic, E., & Chau, T. (2009). A STUDY OF AVERAGE NECK FLEXION ANGLE DURING CHIN-TUCK SWALLOWS. In DYSPHAGIA, 24(4), (p. 483).

Love, A.S., Sejdić, E., Markowski, M.E., Waxei, M., Morton, J.B., & Sabot, R. (2008). A Brain-Controlled 3D Sonar Scanner. In 2006 Canadian Conference on Electrical and Computer Engineering, (pp. 001565-001568).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ccece.2008.4564805.

Primak, S., & Sejdić, E. (2008). Application of Multitaper Analysis to Wireless Communications Problems. In 2008 First International Symposium on Applied Sciences on Biomedical and Communication Technologies, (pp. 1-5).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/isabel.2008.4712590.

Sejdić, E., Luccini, M., Primak, S., Baddour, K., & Willink, T. (2008). CHANNEL ESTIMATION USING DPSS BASED FRAMES. In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, (pp. 2849-2852).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icassp.2008.4518243.

Sejdic, E., Djurovic, I., & Jiang, J. (2007). S-Transform with Frequency Dependent Kaiser Window. In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 3, (p. iii-1165-iii-1168).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icassp.2007.367049.

Sejdić, E., Raković, P., Daković, M., & Stanković, L. (2007). An algorithm for decomposition of heart sounds based on s-method. In European Signal Processing Conference, (pp. 2484-2488).

Raković, P., Sejdić, E., Stanković, L.J., & Jiang, J. (2006). Time-frequency signal processing approaches with applications to heart sound analysis. In Computers in Cardiology, 33, (pp. 197-200).

Sejdić, E., & Jiang, J. (2004). Comparative study of three time-frequency representations with applications to a novel correlation method. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2, (pp. 633-636).

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