Title :
Pre-impact & impact detection of falls using wireless Body Sensor Network
Author :
Liang, Ding ; Zhao, Guoru ; Guo, Yanwei ; Wang, Lei
Author_Institution :
Key Lab. for Health Inf., Shenzhen Inst. of Adv. Technol. (SIAT), Shenzhen, China
Abstract :
Falls in elderlies are a major health and economic problem. This paper aimed at finding the best body position to place inertial sensors and the best feature for pre-impact and impact detection of fall using wireless Body Sensor Network. Waist acceleration maybe the optimal formula for fall detection, under the conditions of existing inertial sensor´s best precision. We set two thresholds for acceleration, 5 m/s2 could get 500ms lead-time and 35 m/s2 ensure the specificity up to 100%. We also analyzed the critical phase in fall events, and subdivided it into three periods, make a fall event more intuitive to people.
Keywords :
acceleration measurement; biomedical equipment; biomedical measurement; body sensor networks; geriatrics; economic problem; elderly; health problem; impact fall detection; inertial sensors; preimpact fall detection; waist acceleration; wireless body sensor network;
Conference_Titel :
Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-2176-2
Electronic_ISBN :
978-1-4577-2175-5
DOI :
10.1109/BHI.2012.6211695