DocumentCode
3423317
Title
Selective stimulation on nerve fibers by using high-frequency blocking technique
Author
Peng, Chih-Wei ; Chen, Jia-Jin Jason ; Lin, Chou-Ching K.
Author_Institution
Inst. of Biomed. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fYear
2003
fDate
20-22 March 2003
Firstpage
630
Lastpage
632
Abstract
Traditional neural stimulation method recruits the muscle nerves in a reverse order of physiologic manner, i.e., can not recruit small diameter nerve fibers without recruiting large diameter ones. However, high frequency blocking technique is a feasible method for achieving selective stimulation and blocking nerve fibers. The aim of the study is to establish an animal model for studying order recruitment by using high frequency blocking investigation. In this study, a nerve cuff electrode was mounted on sciatic nerve with which two channel of stimulus was delivered for stimulation as well as for high frequency blocking investigation. Furthermore, a torque measurement system was established for assessing the stimulation or blocking performance in this study. Our results shows that varied levels of blocking current can produce gradual change in the blocking effect from 8% of residual torque to more than 90% of maximal torque output. In muscle fatigue test, our results proved that high frequency blocking technique could achieve selective stimulation of smaller nerve fibers and blocking of larger fibers.
Keywords
biomechanics; neuromuscular stimulation; torque; animal model; high frequency blocking; muscle fatigue test; muscle nerves recruitment; nerve cuff electrode; physiologic manner; residual torque; sciatic nerve; torque measurement system; traditional neural stimulation method; Animals; Corrosion; Electrical stimulation; Electrodes; Frequency; Muscles; Nerve fibers; Rabbits; Recruitment; Torque;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on
Print_ISBN
0-7803-7579-3
Type
conf
DOI
10.1109/CNE.2003.1196907
Filename
1196907
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