• DocumentCode
    612466
  • Title

    Gait analysis via a high-resolution triaxial acceleration sensor based on ZigBee technology

  • Author

    Tian Lan ; Xiaoqiong Li

  • Author_Institution
    Sch. of Life Sci., Beijing Inst. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    25-28 May 2013
  • Firstpage
    697
  • Lastpage
    702
  • Abstract
    Biomedical rehabilitation technology, especially tele-rehabilitation, surely plays an increasingly important role in future aging society. Meanwhile, ZigBee technology is an enhancement of IEEE 802.15.4 standard by giving a specific definition of the network layer and providing a series of functions for application layer in Wireless Sensor Network (WSN). Nowadays, ZigBee is being utilized in a wide range of applications, such as telemetry, telecommunication and telemedicine. Therefore, a real-time rehabilitation platform for patients or the aged tele-monitoring is designed in this paper by embedding ZigBee star topology with two main nodes to collect and transmit real-time walking acceleration, which contributes to the computer-assisted rehabilitation project greatly. By analyzing the gait sequences obtained from the terminal device, we could figure out the normal gait, detect the abrupt falling and also achieve the goal of gait recognition efficiently. What´s more, an ECG detector is also reserved on the circuit for us to accomplish the monitoring of health condition of patients or the old wirelessly.
  • Keywords
    Zigbee; accelerometers; biomedical telemetry; electrocardiography; gait analysis; legged locomotion; patient monitoring; patient rehabilitation; telemedicine; wireless sensor networks; ECG; IEEE 802.15.4 standard; WSN; ZigBee technology; aged telemonitoring; biomedical rehabilitation; gait analysis; high-resolution triaxial acceleration sensor; real-time walking acceleration; telecommunication; telemedicine; telemetry; telerehabilitation; wireless sensor network; Acceleration; Band-pass filters; Digital filters; Feature extraction; Standards; Wireless sensor networks; Zigbee; Acceleration; Gait Recognition; Rehabilitation; ZigBee;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex Medical Engineering (CME), 2013 ICME International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-2970-5
  • Type

    conf

  • DOI
    10.1109/ICCME.2013.6548340
  • Filename
    6548340