• DocumentCode
    653422
  • 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
  • fYear
    2013
  • fDate
    20-23 Aug. 2013
  • Firstpage
    1729
  • Lastpage
    1733
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/GreenCom-iThings-CPSCom.2013.318
  • Filename
    6682330