He focuses on biomedical signal processing, gait analysis, swallowing difficulties, advanced information systems in medicine, rehabilitation engineering, assistive technologies and anticipatory medical devices.
His research has focused on creating computational biomarkers indicative of age- and disease-related changes in functional outcomes such as swallowing, gait and handwriting.
In particular, he aims to develop clinically relevant solutions by fostering innovation in mechatronic systems (computational data-centric approaches and instrumentation) that can be translated to bedside care.
In 2011, Sejdic joined Harvard Medical School and Beth Israel Deaconess Medical Center as a research fellow in medicine, where he specialized in geriatrics (cardiovascular and cerebrovascular monitoring of older diabetic adults)[8] Sejdic's early research revolved around signal processing, specifically the area of time–frequency analysis.
[10][11][12][13][14][15] Sejdic has also made contributions in computational medicine,[16] implantable medical devices,[17] and biomedical engineering,[18][19][20] including a novel brain-machine interface modality based on transcranial Doppler sonography[21]