Can HDEMG-Based Low Back Muscle Fatigue Estimates Be Used in Exoskeleton Control During Prolonged Trunk Bending? A Pilot Study

Niels P. Brouwer*, Ali Tabasi, Alejandro Moya-Esteban, Massimo Sartori, Wietse van Dijk, Idsart Kingma, Jaap H. van Dieën

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

The effectiveness of exoskeletons could be enhanced by incorporating low back muscle fatigue estimates in their control. The aim of the present study was to evaluate whether low back muscle fatigue can be estimated using the spectral content of trunk extensor muscle high-density EMG (HDEMG) by considering the motor unit action potential conduction velocity (MUAP CV) as a reference. The HDEMG-based MUAP CV was estimated for multiple sites on the lower back consistently throughout a 30 degrees lumbar flexion endurance trial. Significant linear relationships were observed between MUAP CV and spectral content. However, MUAP CV and spectral changes over time did not show the expected decrease, probably due to additional recruitment of motor units or alternating activity of synergistic muscles. The anatomical information about the sites that allow MUAP CV estimation can be valuable for future low back muscle fatigue estimations.

Original languageEnglish
Title of host publicationWearable Robotics: Challenges and Trends
Subtitle of host publicationProceedings of the 5th International Symposium on Wearable Robotics, WeRob2020, and of WearRAcon Europe 2020, October 13–16, 2020
PublisherSpringer Science and Business Media Deutschland GmbH
Pages183-187
Number of pages5
ISBN (Electronic)978-3-030-69547-7
ISBN (Print)978-3-030-69546-0, 978-3-030-69549-1
DOIs
Publication statusE-pub ahead of print/First online - 2 Jul 2021
Event5th International Symposium on Wearable Robotics, WeRob 2020 - Virtual conference
Duration: 13 Oct 202016 Oct 2020
Conference number: 5
https://www.wearableroboticslab.nl/Events/2020/10/648432/balance-recovery-support-using-wearable-robotic-devices#speakers-talks

Publication series

NameBiosystems and Biorobotics
Volume27
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

Conference

Conference5th International Symposium on Wearable Robotics, WeRob 2020
Abbreviated titleWeRob 2020
Period13/10/2016/10/20
Internet address

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