Print Email Facebook Twitter Can HDEMG-Based Low Back Muscle Fatigue Estimates Be Used in Exoskeleton Control During Prolonged Trunk Bending? A Pilot Study Title Can HDEMG-Based Low Back Muscle Fatigue Estimates Be Used in Exoskeleton Control During Prolonged Trunk Bending? A Pilot Study Author Brouwer, N.P. Tabasi, A. Moya-Esteban, A. Sartori, M. van Dijk, W. Kingma, I. van Dieen, J.H. Contributor Moreno, J.C. (editor) Masood, J. (editor) Schneider, U. (editor) Maufroy, C. (editor) Pons, J.L. (editor) Publication year 2022 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. Subject LiftingExoskeletonsBiomechanicalLow back painManual liftingModelsMuscles To reference this document use: http://resolver.tudelft.nl/uuid:75ce7275-beda-45ca-99e1-6680ab1e5e24 DOI https://doi.org/10.1007/978-3-030-69547-7_30 TNO identifier 957894 Publisher Cham, Springer ISBN 9783030695477 Source Wearable Robotics: Challenges and Trends. WeRob 2020, International Symposium on Wearable Robotics, 27 (27), 183-187 Series Biosystems & Biorobotics Document type bookPart Files To receive the publication files, please send an e-mail request to TNO Library.