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1.
J Neuroeng Rehabil ; 17(1): 95, 2020 07 14.
Article in English | MEDLINE | ID: mdl-32664972

ABSTRACT

BACKGROUND: Peripheral nerve stimulation with implanted nerve cuff electrodes can restore standing, stepping and other functions to individuals with spinal cord injury (SCI). We performed the first study to evaluate the clinical electrodiagnostic changes due to electrode implantation acutely, chronic presence on the nerve peri- and post-operatively, and long-term delivery of electrical stimulation. METHODS: A man with bilateral lower extremity paralysis secondary to cervical SCI sustained 5 years prior to enrollment received an implanted standing neuroprosthesis including composite flat interface nerve electrodes (C-FINEs) electrodes implanted around the proximal femoral nerves near the inguinal ligaments. Electromyography quantified neurophysiology preoperatively, intraoperatively, and through 1 year postoperatively. Stimulation charge thresholds, evoked knee extension moments, and weight distribution during standing quantified neuroprosthesis function over the same interval. RESULTS: Femoral compound motor unit action potentials increased 31% in amplitude and 34% in area while evoked knee extension moments increased significantly (p < 0.01) by 79% over 1 year of rehabilitation with standing and quadriceps exercises. Charge thresholds were low and stable, averaging 19.7 nC ± 6.2 (SEM). Changes in saphenous nerve action potentials and needle electromyography suggested minor nerve irritation perioperatively. CONCLUSIONS: This is the first human trial reporting acute and chronic neurophysiologic changes due to application of and stimulation through nerve cuff electrodes. Electrodiagnostics indicated preserved nerve health with strengthened responses following stimulated exercise. Temporary electrodiagnostic changes suggest minor nerve irritation only intra- and peri-operatively, not continuing chronically nor impacting function. These outcomes follow implantation of a neuroprosthesis enabling standing and demonstrate the ability to safely implant electrodes on the proximal femoral nerve close to the inguinal ligament. We demonstrate the electrodiagnostic findings that can be expected from implanting nerve cuff electrodes and their time-course for resolution, potentially applicable to prostheses modulating other peripheral nerves and functions. TRIAL REGISTRATION: ClinicalTrials.gov NCT01923662 , retrospectively registered August 15, 2013.


Subject(s)
Electric Stimulation Therapy/methods , Electrodes, Implanted/adverse effects , Femoral Nerve/physiology , Neural Prostheses/adverse effects , Action Potentials , Adult , Biomechanical Phenomena , Electric Stimulation Therapy/adverse effects , Electrodiagnosis , Electromyography , Humans , Knee , Male , Muscle Strength , Paralysis/rehabilitation , Paraplegia/rehabilitation , Postoperative Complications/epidemiology , Spinal Cord Injuries/rehabilitation
2.
IEEE Trans Neural Syst Rehabil Eng ; 27(12): 2317-2327, 2019 12.
Article in English | MEDLINE | ID: mdl-31689196

ABSTRACT

Peripheral nerve cuff electrodes (NCEs) in motor system neuroprostheses can generate strong muscle contractions and enhance surgical efficiency by accessing multiple muscles from a single proximal location. Predicting chronic performance of high contact density NCEs based on intraoperative observations would facilitate implantation at locations that maximize selective recruitment, immediate connection of optimal contacts to implanted pulse generators (IPGs) with limited output channels, and initiation of postoperative rehabilitation as soon as possible after surgery. However, the stability of NCE intraoperative recruitment to predict chronic performance has not been documented. Here we report the first-in-human application of a specific NCE, the composite flat interface nerve electrode (C-FINE), at a new and anatomically challenging location on the femoral nerve close to the inguinal ligaments. EMG and moment recruitment curves were recorded for each of the 8 contacts in 2 C-FINE intraoperatively, perioperatively, and chronically for 6 months. Intraoperative measurements predicted chronic outcomes for 87.5% of contacts with 14/16 recruiting the same muscles at 6 months as intraoperatively. In both 8-contact C-FINEs, 3 contacts elicited hip flexion and 5 selectively generated knee extension, 3 of which activated independent motor unit populations each sufficient to support standing. Recruitment order stabilized in less than 3 weeks and did not change thereafter. While confirmation of these results will be required with future studies and implant locations, this suggests that remobilization and stimulated exercise may be initiated 3 weeks after surgery with little risk of altering performance.


Subject(s)
Electrodes, Implanted , Femoral Nerve , Monitoring, Intraoperative/methods , Neural Prostheses , Prosthesis Implantation , Electric Stimulation , Electromyography , Hip , Humans , Intraoperative Period , Knee , Motor Neurons , Movement , Muscle Fibers, Skeletal , Predictive Value of Tests , Spinal Cord Injuries/rehabilitation , Treatment Outcome
3.
Article in English | MEDLINE | ID: mdl-22256009

ABSTRACT

This paper describes a method to efficiently sample EMG recruitment space over a wide range of pulse amplitude (PA) and pulse width (PW). A gradient based search method is developed to find high information areas of a recruitment surface. This search method is first examined in the context of simulated EMG recruitment data and its ability to sample and subsequently fit Gompertz-Function-inspired surfaces to it. The search method is then used to determine parameters when stimulating through an 8 contact flat interface nerve electrode (FINE). The recorded EMG recruitment data are then used to validate the Gompertz surface fitting method as well as the search method.


Subject(s)
Electric Stimulation Therapy/methods , Electromyography/methods , Algorithms , Electric Stimulation/instrumentation , Electric Stimulation/methods , Electrodes , Electrodes, Implanted , Humans , Muscles/pathology , Neurons/pathology , Recruitment, Neurophysiological/physiology , Signal Processing, Computer-Assisted , Signal-To-Noise Ratio , Surface Properties
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