title: Using wavelet analysis to reveal the muscle functional recovery following nerve reinnervation in a rat model.
abstract: Targeted muscle reinnervation (TMR) technique has been successful in many amputees for providing sufficient electromyography (EMG) signal to control advanced prosthetics. However, it seems to lack further understanding of the recovery progress of muscle functions after targeted muscle reinneveration surgery. In this study, a rat TMR model was developed to investigate intramuscular EMG activity changes after reinnervation. Using the discrete wavelet decomposition and average rectified algorithm, the recorded EMG showed a gradual improvement in the reinnervated muscle within four weeks. Future work will be performed to further assess the efficiency of reinnveration therapy after the surgery.
authors.forename: Hui
authors.initials: H
authors.lastname: Zhou
authors.forename: Lin
authors.initials: L
authors.lastname: Yang
authors.forename: Liangqing
authors.initials: L
authors.lastname: Zhang
authors.forename: Fengxia
authors.initials: F
authors.lastname: Wu
authors.forename: Jianping
authors.initials: J
authors.lastname: Huang
authors.forename: Guanglin
authors.initials: G
authors.lastname: Li
mesh_terms: D000465:Algorithms; D000818:Animals; D004576:Electromyography / Q000379:methods*; D008475:Median Nerve / Q000502:physiology / Q000637:transplantation; D018482:Muscle, Skeletal / Q000502:physiology*; D009417:Nerve Tissue / Q000502:physiology*; D051381:Rats; D017207:Rats, Sprague-Dawley; D020127:Recovery of Function / Q000502:physiology*; D058067:Wavelet Analysis