• DocumentCode
    3562618
  • Title

    Motion based recognition in neurostimulator for diabetic foot pain

  • Author

    Sathish, S. ; Kumar, S. Vinuraj ; Sridharan, P.

  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We present a novel technique for the better recovery of the diabetic foot pain by using kinematic analysis. The aim of the project is to develop a technique that not only reduces the diabetic foot pain but also involves the gait analysis. In this technique the "Helen Hayes marker set" is designed and fixed in the lower extremity of the leg (sacrum, hip, knee, ankle, heel and toe) and the walking pattern of both diabetic patients and normal subjects are recorded using SLR camera. Using TVC the videos are converted into avi format. Using Virtual dub the videos are converted into frames. The hip, knee and ankle data\´s are processed using MATLAB coding and angle changes are detected. The change in gait pattern and gait parameters are detected using stride analysis and stimulation is provided at exact location of pain in the foot using Neurostimulator.
  • Keywords
    biomedical equipment; data analysis; diseases; gait analysis; kinematics; mathematics computing; Helen Hayes marker set; MATLAB coding; SLR camera; ankle data; avi format; diabetic foot pain; diabetic patient walking pattern; gait analysis; gait parameter; gait pattern; hip data; kinematic analysis; knee data; leg; motion based recognition; neurostimulator; stride analysis; stride stimulation; total video converter; virtual dub; Diabetes; Foot; Hip; Kinematics; Legged locomotion; Pain; Videos; Diabetic foot pain; Diabetic neuropathy; Helen Hayes marker; Kinematic analysis; TVC (Total Video Converter); Virtual Dub Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Science Engineering and Management Research (ICSEMR), 2014 International Conference on
  • Print_ISBN
    978-1-4799-7614-0
  • Type

    conf

  • DOI
    10.1109/ICSEMR.2014.7043575
  • Filename
    7043575