Selective stimulation on nerve fibers by using high-frequency blocking technique

Chih-Wei Peng, Jia Jin Jason Chen, Chou Ching K Lin

研究成果: 書貢獻/報告類型會議貢獻

摘要

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.
原文英語
主出版物標題International IEEE/EMBS Conference on Neural Engineering, NER
發行者IEEE Computer Society
頁面630-632
頁數3
2003-January
ISBN(列印)0780375793
DOIs
出版狀態已發佈 - 2003
對外發佈Yes
事件1st International IEEE EMBS Conference on Neural Engineering - Capri Island, 意大利
持續時間: 三月 20 2003三月 22 2003

其他

其他1st International IEEE EMBS Conference on Neural Engineering
國家意大利
城市Capri Island
期間3/20/033/22/03

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

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  • 引用此

    Peng, C-W., Chen, J. J. J., & Lin, C. C. K. (2003). Selective stimulation on nerve fibers by using high-frequency blocking technique. 於 International IEEE/EMBS Conference on Neural Engineering, NER (卷 2003-January, 頁 630-632). [1196907] IEEE Computer Society. https://doi.org/10.1109/CNE.2003.1196907