Journal of Shanghai Jiao Tong University(Science) ›› 2020, Vol. 25 ›› Issue (4): 447-452.doi: 10.1007/s12204-020-2197-9

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Intrafascicular Vagal Activity Recording and Analysis Based on Carbon Nanotube Yarn Electrodes

ARRANZ Javier, GUO Jinyao (郭金尧), YU Xiao (于潇), WANG Jiaojiao (王娇娇), CHAI Xinyu (柴新禹), WANG Jiguang (王继光), SUI Xiaohong (隋晓红)   

  1. (1. School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 2. Suzhou Institute of
    Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, Jiangsu, China; 3. Shanghai Jiao Tong
    University School of Medicine affiliated Ruijin Hospital, Shanghai 200025, China)
  • 出版日期:2020-08-28 发布日期:2020-07-29
  • 通讯作者: SUI Xiaohong (隋晓红) E-mail:suixhong@sjtu.edu.cn

Intrafascicular Vagal Activity Recording and Analysis Based on Carbon Nanotube Yarn Electrodes

ARRANZ Javier, GUO Jinyao (郭金尧), YU Xiao (于潇), WANG Jiaojiao (王娇娇), CHAI Xinyu (柴新禹), WANG Jiguang (王继光), SUI Xiaohong (隋晓红)   

  1. (1. School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 2. Suzhou Institute of
    Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, Jiangsu, China; 3. Shanghai Jiao Tong
    University School of Medicine affiliated Ruijin Hospital, Shanghai 200025, China)
  • Online:2020-08-28 Published:2020-07-29
  • Contact: SUI Xiaohong (隋晓红) E-mail:suixhong@sjtu.edu.cn

摘要: The vagus nerve carries sensory information from multiple organs in the body. The recording of
its activity and further processing is a key step for neuromodulation treatments. This paper presents a specific
algorithm for the processing and discrimination of intrafascicular recordings from the vagus nerve using the
novel carbon nanotube yarn electrodes. Up to four different neural waveforms were found, whose occurrence
corresponded to distinct levels of anesthesia depth.

关键词: carbon nanotube yarn, intrafascicular electrodes, vagus nerves, neural signals

Abstract: The vagus nerve carries sensory information from multiple organs in the body. The recording of
its activity and further processing is a key step for neuromodulation treatments. This paper presents a specific
algorithm for the processing and discrimination of intrafascicular recordings from the vagus nerve using the
novel carbon nanotube yarn electrodes. Up to four different neural waveforms were found, whose occurrence
corresponded to distinct levels of anesthesia depth.

Key words: carbon nanotube yarn, intrafascicular electrodes, vagus nerves, neural signals

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