• DocumentCode
    656428
  • Title

    Automatic fall detection sensor for treadmill rehabilitation

  • Author

    Senavongse, Wongwit ; Dron, Noramon ; Prakopkaew, Pornsuang ; Tammawong, Wanidar

  • Author_Institution
    Dept. of Biomed. Eng., Srinakharinwirot Univ., Ongkharak, Thailand
  • fYear
    2013
  • fDate
    23-25 Oct. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Stroke patient rehabilitation by treadmill tends to increase in recent years. The rehabilitation on treadmill needs more than two staffs per patient to control the process and protect them from falling. As a result, it takes too much time and resource to operate. To resolve this problem, this paper proposes to develop an automatic sensor that is simple and easy to use by using ultrasonic sensor and the Arduino board. The system senses patient´s body on treadmill to calculate the suitable distance for setting an automatic switch. When patient´ body triggers the first position, the treadmill will start moving then patient´s body triggers the second distance or fall position, the treadmill will stop immediately. Although it is a simple concept, the commercial treadmill does not have this function which is necessary for looking after patients. The control system uses Arduino and C# languages. The findings suggest that the performance of the system is very satisfactory having accuracy which are measured in 2 states, on and off, at 94.32% and 94.83% respectively.
  • Keywords
    biomechanics; biomedical equipment; biomedical ultrasonics; mechanoception; medical control systems; medical disorders; patient rehabilitation; ultrasonic transducers; Arduino board; C# languages; automatic fall detection sensor; automatic sensor; automatic switch; commercial treadmill; control system; fall position; patient body; second distance; stroke patient rehabilitation; system performance; treadmill rehabilitation; ultrasonic sensor; Accuracy; Acoustics; Legged locomotion; Programming; Safety; Standards; Ultrasonic variables measurement; automatic sensor; fall detection; rehabilitation; stroke; treadmill; ultrasonic; walking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering International Conference (BMEiCON), 2013 6th
  • Conference_Location
    Amphur Muang
  • Print_ISBN
    978-1-4799-1466-1
  • Type

    conf

  • DOI
    10.1109/BMEiCon.2013.6687646
  • Filename
    6687646