NDLI: The Electrophysiological and Functional Effect of Shock Wave on Peripheral Nerves

Content Provider	IEEE Xplore Digital Library
Author	Yi-Hui Wu Jer-Junn Lun Wen-Shiang Chen Fok-Ching Chong
Copyright Year	2007
Description	Author affiliation: Nat. Taiwan Univ., Taipei (Yi-Hui Wu)
Abstract	Recently, extracorporeal shock wave therapy (ESWT) is found to be effective for musculoskeletal disorders, such as calcific tendonitis, epicondylitis, and plantar fasciitis. Until now, there is no study on the influence of ESWT on motor nerve and the underlying mechanism of ESWT on musculoskeletal disorders remains unclear. This study evaluated the effects of shock wave of different intensity on peripheral nerves and the tracking of long term observation on induced injury. Shock wave treatments of different intensity were applied on the sciatic nerve of rat and electrophysiological changes were recorded. Besides, the functional activities were estimated with sciatic functional index (SFI). The results showed a decrease of motor nerve conduction velocity (MNCV) after shock wave treatment, but recovery was observed within 14 days. When the intensity of shock wave was higher, the decrease of MNCV sustained longer. There was no significant change in functional assessment. It is suggested that ESWT may be harmless to peripheral nerves and can be used in the treatment of musculoskeletal disorders.
Starting Page	2369
Ending Page	2372
File Size	551130
Page Count	4
File Format	PDF
ISBN	9781424407873
ISSN	1557170X
DOI	10.1109/IEMBS.2007.4352803
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrophysiology Shock waves Medical treatment Animals Rats Musculoskeletal system Injuries Lithotripsy Joints Elbow motor nerve conduction velocity Peripheral nerve extracorporeal shock wave therapy sciatic functional index
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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