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.
|Title of host publication||Wearable Robotics: Challenges and Trends|
|Subtitle of host publication||Proceedings of the 5th International Symposium on Wearable Robotics, WeRob2020, and of WearRAcon Europe 2020, October 13–16, 2020|
|Editors||Juan C. Moreno, Jawad Masood, Urs Schneider, Christophe Maufroy, Jose L. Pons|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||5|
|ISBN (Print)||9783030695460, 9783030695491|
|Publication status||Published - 2022|
|Name||Biosystems and Biorobotics|
Bibliographical noteFunding Information:
Acknowledgements This work was supported by the Dutch Research Council (NWO), program ‘perspectief’ (project P16-05).
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.