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PILOT TEST TO BUILD BACK-PAIN DIAGNOSIS SUPPORT SYSTEM

Journal: International Journal of Mechanical Engineering and Technology(IJMET) (Vol.9, No. 6)

Publication Date:

Authors : ; ;

Page : 1174-1179

Keywords : EMG; Low-Back Pain; Probabilistic Approach; Bayes’ Theorem.;

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Abstract

The purpose of this study was to build a methodology to support the diagnosis of back pain. This study used easy posture and frequency analysis of EMG for non-MVC normalizing to focus on avoiding damage to back-pain patients during the test. Participants were asked to perform a simple walking task. Measured muscles were biceps femoris (BF) muscle, lateral gastrocnemius (LG) muscle. In the BF muscle, the mean of healthy persons was 46.28 (±8.66), the mean of back pain patients was 26.11 (±10.69). In the LG muscle, the mean of healthy persons was 58.36 (±15.69), and the mean of back pain patients was 20.97 (±10.78). In both t-test results of muscles showed significant differences. It is considered to be a compensation mechanism transferring the body weight to lower body related to muscle weakness. Also, this study can support back-pain diagnosis through a stochastic approach using Bayes theorem.

Last modified: 2018-12-26 21:03:15