A Novel Technique to Reject Artifact Components for Surface EMG Signals Recorded During Walking With Transcutaneous Spinal Cord Stimulation: A Pilot Study

Frontiers in Human Neuroscience

Keehoon Kim¹  Yaejin Moon²  Levi J. Hargrove²  Arun Jayaraman²  Adam Horin²  Minjae Kim³  Kelly A. McKenzie⁴  Jasmine Hunt⁴  Matt McGuire⁴ 

[1] Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, South Korea;Feinberg School of Medicine, Northwestern University, Chicago, IL, United States;Interaction and Robotics Research Center, Korea Institute of Science and Technology (KIST), Seoul, South Korea;Shirley Ryan AbilityLab, Chicago, IL, United States;

关键词: neurorehabilitation;    electrical stimulation;    surface electromyography;    artifact removal;    signal assessment;   

DOI  :  10.3389/fnhum.2021.660583

来源: DOAJ

【 摘 要 】

Transcutaneous spinal cord electrical stimulation (tSCS) is an emerging technology that targets to restore functionally integrated neuromuscular control of gait. The purpose of this study was to demonstrate a novel filtering method, Artifact Component Specific Rejection (ACSR), for removing artifacts induced by tSCS from surface electromyogram (sEMG) data for investigation of muscle response during walking when applying spinal stimulation. Both simulated and real tSCS contaminated sEMG data from six stroke survivors were processed using ACSR and notch filtering, respectively. The performance of the filters was evaluated with data collected in various conditions (e.g., simulated artifacts contaminating sEMG in multiple degrees, various tSCS intensities in five lower-limb muscles of six participants). In the simulation test, after applying the ACSR filter, the contaminated-signal was well matched with the original signal, showing a high correlation (r = 0.959) and low amplitude difference (normalized root means square error = 0.266) between them. In the real tSCS contaminated data, the ACSR filter showed superior performance on reducing the artifacts (96% decrease) over the notch filter (25% decrease). These results indicate that ACSR filtering is capable of eliminating artifacts from sEMG collected during tSCS application, improving the precision of quantitative analysis of muscle activity.

【 授权许可】

Unknown