Can HDEMG-Based Low Back Muscle Fatigue Estimates Be Used in Exoskeleton Control During Prolonged Trunk Bending? A Pilot Study
bookPart
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.
TNO Identifier
957894
ISBN
978-3-030-69547-7
978-3-030-69546-0
978-3-030-69546-0
Publisher
Cham
Source title
Wearable Robotics: Challenges and Trends. WeRob 2020, International Symposium on Wearable Robotics
Editor(s)
Moreno, J.C.
Masood, J.
Schneider, U.
Maufroy, C.
Pons, J.L.
Masood, J.
Schneider, U.
Maufroy, C.
Pons, J.L.
Place of publication
Springer
Pages
183-187
Files
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