Characterization of Volitional Electromyographic Signals in the Lower Extremity After Motor Complete Spinal Cord Injury

• Published in: Neurorehabilitation and neural repair Vol. 31; no. 6; pp. 583 - 591
• Main Authors: Heald, Elizabeth, Hart, Ronald, Kilgore, Kevin, Peckham, P. Hunter
• Format: Journal Article
• Language: English
• Published: Los Angeles, CA SAGE Publications 01-06-2017
• Subjects: Adult; Electromyography; Female; Humans; Lower Extremity - innervation; Lower Extremity - physiopathology; Male; Middle Aged; Movement; Muscle Contraction; Muscle, Skeletal - innervation; Muscle, Skeletal - physiopathology; Neural Prostheses; Spinal Cord Injuries - physiopathology; Spinal Cord Injuries - rehabilitation; Volition; complete spinal injury; SCI classification; control signal; spinal cord injuries; neuroprostheses; electromyography
• ISSN: 1545-9683; 1552-6844
• DOI: 10.1177/1545968317704904

Background. Previous studies have demonstrated the presence of intact axons across a spinal cord lesion, even in those clinically diagnosed with complete spinal cord injury (SCI). These axons may allow volitional motor signals to be transmitted through the injury, even in the absence of visible muscle contraction. Objective. To demonstrate the presence of volitional electromyographic (EMG) activity below the lesion in motor complete SCI and to characterize this activity to determine its value for potential use as a neuroprosthetic command source. Methods. Twenty-four subjects with complete (AIS A or B), chronic, cervical SCI were tested for the presence of volitional below-injury EMG activity. Surface electrodes recorded from 8 to 12 locations of each lower limb, while participants were asked to attempt specific movements of the lower extremity in response to visual and audio cues. EMG trials were ranked through visual inspection, and were scored using an amplitude threshold algorithm to identify channels of interest with volitional motor unit activity. Results. Significant below-injury muscle activity was identified through visual inspection in 16 of 24 participants, and visual inspection rankings were well correlated to the algorithm scoring. Conclusions. The surface EMG protocol utilized here is relatively simple and noninvasive, ideal for a clinical screening tool. The majority of subjects tested were able to produce a volitional EMG signal below their injury level, and the algorithm developed allows automatic identification of signals of interest. The presence of this volitional activity in the lower extremity could provide an innovative new command signal source for implanted neuroprostheses or other assistive technology.