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Quantifying performance of bipedal standing with multi-channel EMG

Sui, Yanan and Kim, Kun Ho and Burdick, Joel W. (2017) Quantifying performance of bipedal standing with multi-channel EMG. In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE , Piscataway, NJ, pp. 3891-3896. ISBN 978-1-5386-2683-2.

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Spinal cord stimulation has enabled humans with motor complete spinal cord injury (SCI) to independently stand and recover some lost autonomic function. Quantifying the quality of bipedal standing under spinal stimulation is important for spinal rehabilitation therapies and for new strategies that seek to combine spinal stimulation and rehabilitative robots (such as exoskeletons) in real time feedback. To study the potential for automated electromyography (EMG) analysis in SCI, we evaluated the standing quality of paralyzed patients undergoing electrical spinal cord stimulation using both video and multi-channel surface EMG recordings during spinal stimulation therapy sessions. The quality of standing under different stimulation settings was quantified manually by experienced clinicians. By correlating features of the recorded EMG activity with the expert evaluations, we show that multi-channel EMG recording can provide accurate, fast, and robust estimation for the quality of bipedal standing in spinally stimulated SCI patients. Moreover, our analysis shows that the total number of EMG channels needed to effectively predict standing quality can be reduced while maintaining high estimation accuracy, which provides more flexibility for rehabilitation robotic systems to incorporate EMG recordings.

Item Type:Book Section
Related URLs:
URLURL TypeDescription Paper
Sui, Yanan0000-0002-9480-627X
Kim, Kun Ho0000-0002-9271-9631
Additional Information:© 2017 IEEE. Date Added to IEEE Xplore: 14 December 2017. This work was supported by the Helmsley Foundation, the Christopher and Dana Reeve Foundation, and the National Institutes of Health (NIH). The authors thank E. Rejc, C. Angeli and S. Harkema for help with the experiments.
Funding AgencyGrant Number
Leona M. and Harry B. Helmsley Charitable TrustUNSPECIFIED
Christopher and Dana Reeve FoundationUNSPECIFIED
Record Number:CaltechAUTHORS:20180119-082251525
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Official Citation:Y. Sui, K. ho Kim and J. W. Burdick, "Quantifying performance of bipedal standing with multi-channel EMG," 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, BC, 2017, pp. 3891-3896. doi: 10.1109/IROS.2017.8206241
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:84409
Deposited By: Ruth Sustaita
Deposited On:19 Jan 2018 17:51
Last Modified:09 Mar 2020 13:19

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