Title: Quantitative analysis of paraspinal muscle strain during cervical traction using wireless EMG sensor

Authors: Hemlata Shakya; Shiru Sharma

Addresses: School of Biomedical Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India ' School of Biomedical Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India

Abstract: The aim of this study is to assess the efficacy of cervical traction on the basis of fatigue analysis using wireless EMG sensor. Neck pain is a regular health-related complaint, leading to paraspinal muscle spasm and radiculopathy. The patients having neck pain complaint were visiting therapy unit regularly for cervical traction treatment. This case study includes EMG data recording of 12 neck pain patients using wireless EMG sensor. The patients were divided into two groups having radiculopathy with paraspinal muscle spasm and without radiculopathy but paraspinal muscle spasm. The subjects were treated with 15 minutes of cervical traction with a 7 kg strain. The extracted various features in the time domain and frequency domain from the acquired EMG data to assess the muscle fatigue during cervical traction treatment. Features were calculated to evaluate the muscle fatigue during cervical traction in sitting position. Analysis of various parameters indicated significant differences in the paraspinal muscle activities. The results indicate the effectiveness of continuous traction treatment in the reduction of neck pain.

Keywords: electromyography; neck pain; muscle fatigue; feature extraction.

DOI: 10.1504/IJBET.2020.111003

International Journal of Biomedical Engineering and Technology, 2020 Vol.34 No.2, pp.189 - 203

Received: 07 Nov 2017
Accepted: 12 Jan 2018
Published online: 05 Nov 2020 *

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