Clinical evaluation of anomaly detection technology using facial image analysis to eliminate out-of-control accidents caused by epileptic seizures

2024 Fiscal Year Final Research Report

• Project/Area Number: 19K20733
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 90140:Medical technology assessment-related
• Research Institution: Jichi Medical University
• Principal Investigator: BAN Tomoaki 自治医科大学, 医学部, 客員研究員 (40824701)
• Project Period (FY): 2019-04-01 – 2025-03-31
• Keywords: てんかん発作 / 無拘束計測 / 視線 / 頭部運動 / 交通運輸技術

Outline of Final Research Achievements

This study aimed to improve transportation technology in order to eliminate serious traffic accidents caused by epileptic seizure while driving a car. The study used a camera-based system to collect biometric data such as eye and head movements during a simulated driving task. Then to evaluate the relationship between the biometric data and epileptic seizure. When unilateral EEG signals abnormalities were detected, eye movements tended to become more active before the EEG signals abnormality occurred. When bilateral EEG signals abnormalities were detected, there was a tendency for the coordination between the two eyes to be disrupted.
However, the relationship between EEG signals and eye movement was evaluated in this study, and the system tended to detect even voluntary movements such as looking away.

Free Research Field

生体医工学

Academic Significance and Societal Importance of the Research Achievements

自動車運転中にてんかん発作は、運転者や同乗者のケガだけでなく、その車両周辺の交通利用者までを巻き込んだ重大な加害事故にも繋がる可能性が高い。本研究ではてんかん発作を観察するために行われている実臨床下を活用し、視線や頭部の動きといった拘束せずに計測できる生体情報を活用し、特徴的な変化を捉えることを目的としたものである。
本研究が目指す生体情報における特徴的な変化は、自動車運転中に運転者の負担を増やすことなく計測することができるため、自動車運転中のてんかん発作が疑われる際には重大な加害事故を未然に防止する手段の一つとして期待できるものである。そのため、交通利用者が安心できる社会の実現の一助となる。