Nonlinear Analysis of Electromiography Time Series as A Diagnostic Tool for Low Back Pain

Authors

Paul Sung, Cleveland State UniversityFollow
Ulrich Zurcher, Cleveland State UniversityFollow
Miron Kaufman, Cleveland State UniversityFollow

Document Type

Article

Publication Date

2005

Publication Title

Medical Science Monitor

Abstract

A number of studies have evaluated lumbar spinal muscle fatigue using the electromyography (EMG) signal. However, back muscle fatigue studies do not consistently report endurance levels for patients with or without low back pain (LBP). In this case report, we investigated a nonlinear analysis of EMG time series that characterizes their complexity.

Repository Citation

Sung, Paul; Zurcher, Ulrich; and Kaufman, Miron, "Nonlinear Analysis of Electromiography Time Series as A Diagnostic Tool for Low Back Pain" (2005). Physics Faculty Publications. 290.
https://engagedscholarship.csuohio.edu/sciphysics_facpub/290

Volume

11

Issue

1