Computational Biomarkers for Tracking Age and Disease Related Functional Declines

1. Dr. Ervin Sejdić, Ph.D. Assistant Professor Department of Electrical and Computer Engineering Department of Bioengineering Department of Biomedical Informatics Intelligent Systems Program University of Pittsburgh E-mail: esejdic@pitt.edu Phone: 412-624-0508 (office) and 412-298-0390 (cell) Web: www.imedlab.org Computational Biomarkers for Tracking Age and Disease Related Functional Declines

2. iMED Vision To develop innovative computational approaches and instrumentation that will quantitatively predict the dynamical interactions between cerebrovascular, cardiovascular and autonomic control systems and their effects on functional outcomes such as gait, handwriting and swallowing. Check out www.imedlab.org!

3. Gait analysis GOAL: Using computational biomarkers to understand the effects of aging, diseases, traumatic injuries and environment on human gait AspirometerGOAL: To develop a computational biomarker indicative of aspirations Transcranial Doppler (TCD)GOAL: TCD as a novel access modality in rehabilitation hospitals Brain networks and functional outcomes GOAL: To establish brain networks associated with functional outcomes Swallowing Gait Implantable medical devicesGOAL: To provide new health care instruments Handwriting Handwriting assessment GOAL: Handwriting as an early assessment tool for various neurodegenerative diseases and/or traumatic injuries

4. Research and clinical impact • Selected publications • I. Jestrović, J. L. Coyle, E. Sejdić, “Decoding human swallowing via electroencephalography: a state-of-the-art review,” Journal of Neural Engineering, vol. 12, no. 5, pp. 051001-1-15, October 2015. • J. M. Dudik, J. L. Coyle, E. Sejdić, “Dysphagia screening: Contributions of cervical auscultation signals and modern signal processing techniques,” IEEE Transactions on Human-Machine Systems, vol. 45, no. 4, pp. 465-477, August 2015. • M. Li, H. Huang, M. Boninger, E. Sejdić, “An analysis of cerebral blood flow from middle cerebral arteries during cognitive tasks via functional transcranial Doppler recordings” Neuroscience Research, vol. 84, pp. 19-26, July 2014. • E. Sejdić, K. A. Lowry, J. Bellanca, M. S. Redfern, J. S. Brach, “A comprehensive assessment of gait accelerometry signals in time, frequency and time-frequency domains,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 22, no. 3, pp. 603-612, May 2014. • B. Luan, P. Soros, E. Sejdić, “A study of brain networks associated with swallowing using graph-theoretical approaches,” PLoS ONE, vol. 8, no. 8, pp. e73577-1-11, Aug. 2013. • E. Sejdić, C. M. Steele, T. Chau, “Classification of penetration-aspiration versus healthy swallows using dual-axis swallowing accelerometry signals in dysphagic subjects,” IEEE Transactions on Biomedical Engineering, vol. 60, no. 7, pp. 1859-1866, July 2013. • Selected patents • E. Sejdić, T. Chau, “A procedure for denoising dual-axis swallowing accelerometry,” U. S. Patent 8,992,446, March 31, 2015. • Selected grants • The Aspirometer: A noninvasive tool to detect swallowing safety and efficiency (NICHD R01HD074819) • Pittsburgh Older Americans Independence Center (NIA P30 AG024827)