Aydin Farajidavar, Ph.D.
of Electrical and Computer Engineering
Director of Integrated Medical System Laboratory
New York Institute of Technology
Towards smart integrated medical systems and assistive technologies
Most medical devices (implantable or wearable systems) and assistive technologies operate under open loop control; hence, the user/physician is required to constantly monitor and tune the device. Thus, there is an increasing need to develop smart, closed-loop, and integrated systems that can analyze the biological signals in real-time and adaptively make the right tuning without the help from the user or physician.
In this talk, Dr. Farajidavar focuses on the Neural Stimulators, which have revolutionized the treatment of many neural disorders, and explains strategies to develop smart integrated neuro-stimulators for pain management. The proposed approach exploits various Brain-Machine Interface technologies to acquire the neuronal state of the subject and subsequently to deliver the essential electrical stimulation back to the nervous system once a nociceptive signal is detected. The lessons learned from this research can be applied to a variety of disorders such as gastroparesis, Parkinson’s disease, epilepsy, and incontinence to name but a few.
Dr. Aydin Farajidavar is an Assistant Professor of Electrical and Computer Engineering and the Director of Integrated Medical System (IMS) Laboratory at New York Institute of Technology (NYIT). Before joining NYIT, he was a Post-doctroal Fellow in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He received the Ph.D. degree in Biomedical Engineering from the Joint program of the University of Texas at Arlington and the University of Texas Southwestern Medical Center, Dallas in 2011. His research interests include: Implantable/Wearable Medical Devices, Assistive Technologies, Biological Signal Processing, Modeling Biological Phenomena, and Medical Cyber Physical Systems. His research has been highlighted by the “Physiological Measurement” journal, the “Scope” Magazine, NYIT, and the University of Texas at Arlington.
Dr. Farajidavar has authored several journal and conference papers and is a member of the Institute of Electrical and Electronics Engineers (IEEE) and International Neural Network Society (INNS). He serves on the Editorial Board of the Journal of Biological Research (Hong Kong) and on the Technical Program Committee (TPC) for MTT-10 of IEEE Microwave Theory and Techniques Society (MTT-S). He also served on the TPC for IEEE BioWireless, IEEE WAMICON, IEEE IMWS, and IEEE EMBS.