An AI-Enabled Edge-IoT Platform for Low-Latency Seizure Detection and Control

ABSTRACT

Epilepsy is a neurological disorder marked by recurrent seizures, in which a seizure denotes abnormal electrical activity in the brain. Almost 1% of the world's population, and around 3 million people in the United States, suffer from epilepsy. Currently, a significant portion of biomedical research is focused on epilepsy to improve the quality of human life. Practical epilepsy treatment requires early seizure detection for subsequent treatment through cooling, stimulation, or drug delivery. Seizure detection is a critical task because of the complex and non-stationary behavior of biomedical signals. Conventional algorithms often suffer from high detection delays, as identifying seizure progression requires considerable processing time. An AI-based, novel, unified, accurate, and low-latency seizure detection and control system has been proposed from an edge-IoT perspective, which can detect seizures rapidly after seizure onset and administer drugs to suppress seizure progression. The proposed method reports an average latency of less than 2 seconds and improved detection accuracy, indicating high potential and practical utility for epilepsy treatment.

BIOGRAPHY

Dr. Md Abu Sayeed is currently a Teaching Assistant Professor in the Department of Electrical and Computer Engineering (ECE) at the Stevens Institute of Technology. He received a Ph.D. in Computer Science and Engineering from the University of North Texas. His teaching areas include computer architecture, data structures and algorithms, and embedded systems. His research expertise spans artificial intelligence (AI), embedded systems, the Internet of Things, machine learning, smart healthcare, and AI in education. Dr. Sayeed is interested in developing automated, low-power devices to address various biomedical problems, including epilepsy, sleep apnea, migraines, Alzheimer’s disease, and other related conditions. He has authored and co-authored over 20 articles in these areas in reputed journals and conferences. He is the recipient of the IEEE Metrocon Best Poster Award and serves as a Technical Program Committee member for the IEEE International Symposium on Smart Electronic Systems, the International Internet of Things Conference, and the International Conference on Information Technology.