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Spinal cord stimulation has enabled humans with motor complete spinal cordinjury (SCI) to independently stand and recover some lost autonomic function.Quantifying the quality of bipedal standing under spinal stimulation isimportant for spinal rehabilitation therapies and for new strategies that seekto 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 patientsundergoing electrical spinal cord stimulation using both video andmulti-channel surface EMG recordings during spinal stimulation therapysessions. The quality of standing under different stimulation settings wasquantified manually by experienced clinicians. By correlating features of therecorded EMG activity with the expert evaluations, we show that multi-channelEMG recording can provide accurate, fast, and robust estimation for the qualityof bipedal standing in spinally stimulated SCI patients. Moreover, our analysisshows that the total number of EMG channels needed to effectively predictstanding quality can be reduced while maintaining high estimation accuracy,which provides more flexibility for rehabilitation robotic systems toincorporate EMG recordings.

Quantifying Performance of Bipedal Standing with Multi-channel EMG