Nawara Mahmood Broti, a second-year Ph.D. student in the Electrical Engineering Program (Health Science and Medical Engineering Laboratory), won the Best Research Award at the Biomedical Engineering Symposium 2023 (September 8 - 9, Kumamoto-jo Hall) sponsored by the Japanese Society for Medical and Biological Engineering. The awarded research focused on a diagnostic system that utilizes deep learning techniques to automatically detect brain activity associated with epilepsy, a neurological disorder, with the aim of assisting doctors during surgery. The research was conducted as a joint collaboration between Meiji University and the National Center of Neurology and Psychiatry Hospital.
The Biomedical Engineering Symposium is an annual academic conference organized by the Japanese Society for Medical and Biological Engineering with the aim of fostering interdisciplinary research at the intersection of biology, medicine, and engineering. A total of 72 papers submitted by the symposium’s presenters were reviewed by the selection committee, and three papers, including one authored by Broti et al., were selected as excellent papers and awarded. The content of this presentation is scheduled for publication in the society's English-language journal, Advanced Biomedical Engineering, following the standard peer-review process.
Author: Nawara Mahmood Broti, Masaki Sawada, Yutaro Takayama, Keiya Iijima, Masaki Iwasaki, Yumie Ono
Thesis title: Automated detection of interictal high-frequency oscillations for epileptogenic zone localization
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