인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Objective: The aim of this study is to measure driver’s ECG signal non-intrusively using a seat-mounted conductive sensor system. Background: Driving workload has been identified as one of the leading causes of traffic accidents and this fact made many research groups to study the driver’s workload state monitoring during driving. The workload can be estimated by measuring driver’s heart rate. Method: The proposed non-intrusive ECG sensor system consists of conductive sensors and amplifier, Bluetooth transmitter, and post signal processing system. The sensors which mounted on a driver seat back, detect the local electric potential, and the sensing data is transmitted to post signal processing system via Bluetooth modules. The transmitted data was sampled and stored digitally on the laptop. The data was filtered through anti-aliasing band-pass filters. For evaluating the accuracy from this system, comparisons between proposed system and commercially available surface electrode based ECG measurement system were conducted. R-R interval and ECG correlation were used for evaluating accuracy. Conclusion: This system can be used for measuring ECG signal non-intrusively during driving. Application: The use of this system can help to develop systems for monitoring driver’s workload in real-time.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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