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
Link To Document :
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