Title :
Elderly Gait Analysis and Assessment Based on Body Area Network
Author :
Xuan, Y.D. ; Zhao, Zhen ; Fang, Zhou ; Xu, Z.H. ; Sun, F.M. ; Chen, D.L. ; Du, L.D. ; Qian, Y.M. ; Hu, H.Y. ; Tian, L.L.
Author_Institution :
State Key Lab. of Transducer Technol., Inst. of Electron., Beijing, China
Abstract :
As the nerve cell of the Internet of Things, WSN (wireless sensor network) have been the most important part of our life. Even more WBSN (wireless body sensor network) as one kind of WSN have been one part of our body. Sensor technology, Computer technology, wireless technology, semiconductor technology and so on all these development has made sensor network node so smaller, lighter and more multifunctional that can be dressed in portably. The sensor nodes can sample many of vital signals such as ECG, EEG, EKG, SPO2, body-temperature, Glucose, Heart Rate and so on, activities of daily living and gait information, environment information. All of information collected is transferred to extracorporeal data center. Based on the information collected something related to health can be analyzed.
Keywords :
body area networks; body sensor networks; electrocardiography; electroencephalography; gait analysis; ECG; EEG; EKG; Internet of Things; SPO2; WBSN; body area network; body temperature; computer technology; elderly gait analysis; extracorporeal data center; heart rate; semiconductor technology; sensor network node; sensor technology; wireless body sensor network; wireless technology; Capacitance; Computer architecture; Footwear; Legged locomotion; Senior citizens; Wireless communication; Wireless sensor networks; Gait Assessment system; gait acceleration; wireless sensor network;
Conference_Titel :
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location :
Beijing
DOI :
10.1109/GreenCom-iThings-CPSCom.2013.318