Related Experiment Video
Updated: Jan 27, 2026

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
Published on: January 24, 2025
Semi-quantitative electromyography as a predictor of nerve transfer outcome
Ross M Mandeville1, Justin M Brown2, Geoffrey L Sheean1
1University of California San Diego School of Medicine, Department of Neurosciences, La Jolla, CA, USA.
Objectives:
Evaluate correlation between donor nerve semi-quantitative electromyography (sqEMG) and strength outcome in nerve transfer surgery.
Methods:
Retrospective review of pre-operative donor nerve semi-quantitative neurophysiology and post-operative recipient muscle force after at least one-year follow-up. The semi-quantitative technique is the average motor unit number estimate associated with needle recorded interference patterns in the donor muscle (IP-AMUNE), which was correlated with hand-held manometry, standardized as a percent of the contralateral arm, using multivariable linear regression with backward selection.
Results:
Twenty-eight nerve transfer cases were included. The correlation between the donor nerve IP-AMUNE and the recipient muscle strength was moderate to strong and highly significant (r = 0.67, p < 0.001). Medical Research Council (MRC) grading did not predict strength (p > 0.54).
Conclusions:
IP-AMUNE is a good predictor of strength after nerve transfer surgery and should be considered in the evaluation and planning of patients undergoing nerve transfer to aid in donor nerve selection.
Significance:
IP-AMUNE may significantly benefit those undergoing nerve transfer surgery for the restoration of movement.
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