Skip to main navigation Skip to search Skip to main content

Sample Entropy-Based Surface Electromyographic Examination With a Linear Electrode Array in Survivors With Spinal Cord Injury

  • Le Li
  • , Xiang Wang
  • , Bo Yao
  • , Xu Zhang
  • , Ping Zhou
  • Northwestern Polytechnical University Xian
  • Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College
  • University of Science and Technology of China
  • University of Health and Rehabilitation Sciences

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

This study aimed to evaluate the utility of sample entropy (SampEn) of surface electromyographic signals (sEMG) in quantifying neuromuscular changes after spinal cord injury (SCI). Using a linear electrode array, sEMG signals were obtained from the biceps brachii muscles of 13 healthy control subjects and 13 SCI subjects during isometric elbow flexion muscle contraction at various constant force levels. The SampEn analysis was performed on both the representative channel (emerging the largest signal amplitude) and the channel over muscle innervation zone (IZ) determined by the linear array. The SampEn values were further averaged across muscle force levels to examine difference between SCI survivors and control subjects. Results showed that SampEn values after SCI had a significantly greater range than those of the control subjects at the group level. Abnormal increases or decreases in SampEn were also found after SCI at the individual subject level. In addition, a significant difference was found between the representative channel and the IZ channel. SampEn is a valuable indicator for identifying neuromuscular changes after SCI, and the effect of the IZ on the sEMG examination is particularly noteworthy. The approach presented in this study may facilitate the development of appropriate rehabilitation methods to enhance motor recovery.

Original languageEnglish
Pages (from-to)2944-2952
Number of pages9
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume31
DOIs
StatePublished - 2023

Keywords

  • Neuromuscular changes
  • biomarker
  • sample entropy
  • spinal cord injury
  • surface electromyography

Fingerprint

Dive into the research topics of 'Sample Entropy-Based Surface Electromyographic Examination With a Linear Electrode Array in Survivors With Spinal Cord Injury'. Together they form a unique fingerprint.

Cite this