title: Automatic fall detection using wearable biomedical signal measurement terminal.
abstract: In our study, we developed a mobile waist-mounted device which can monitor the subject's acceleration signal and detect the fall events in real-time with high accuracy and automatically send an emergency message to a remote server via CDMA module. When fall event happens, the system also generates an alarm sound at 50Hz to alarm other people until a subject can sit up or stand up. A Kionix KXM52-1050 tri-axial accelerometer and a Bellwave BSM856 CDMA standalone modem were used to detect and manage fall events. We used not only a simple threshold algorithm but also some supporting methods to increase an accuracy of our system (nearly 100% in laboratory environment). Timely fall detection can prevent regrettable death due to long-lie effect; therefore increase the independence of elderly people in an unsupervised living environment.
authors: Department of Biomedical Engineering, College of Medicine, Chungbuk National University, Cheongju, South Korea. trangnt304@gmail.com
authors: Thuy-Trang
authors: TT
authors: Nguyen
authors: Myeong-Chan
authors: MC
authors: Cho
authors: Tae-Soo
authors: TS
authors: Lee
mesh_terms: D000054:Acceleration; D000058:Accidental Falls / Q000517:prevention & control*; D000465:Algorithms; D020811:Biomedical Technology / Q000295:instrumentation*; D006801:Humans; D020407:Internet; D011187:Posture; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D013686:Telemetry / Q000295:instrumentation*