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

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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.

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Acknowledgment

The authors would like to thank Prof. D.M. Durand for guidance of CNT yarn electrode fabrication, Y.T. Zhang for advice on vagal activity recording, Prof. Y. Chen from visual function restoration and rehabilitation laboratory for support, Mr. C.M. Yang and Ms. Y. Chen from Suzhou for help in PC insulation, J.Y. Su for helping with the surgery.

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Authors and Affiliations

  1. School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

    Javier Arranz, Jinyao Guo  (郭金尧), Xiao Yu  (于 潇), Xinyu Chai  (柴新禹) & Xiaohong Sui  (隋晓红)

  2. Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, Jiangsu, China

    Jiaojiao Wang  (王娇娇)

  3. Shanghai Jiao Tong University School of Medicine affiliated Ruijin Hospital, Shanghai, 200025, China

    Jiguang Wang  (王继光)

Authors
  1. Javier Arranz
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  2. Jinyao Guo  (郭金尧)
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  3. Xiao Yu  (于 潇)
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  4. Jiaojiao Wang  (王娇娇)
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  5. Xinyu Chai  (柴新禹)
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  6. Jiguang Wang  (王继光)
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  7. Xiaohong Sui  (隋晓红)
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Corresponding author

Correspondence to Xiaohong Sui  (隋晓红).

Additional information

Foundation item: the National Natural Science Foundation of China (No. 81671801), the Medical-Engineering Cross Project of Shanghai Jiao Tong University (No. YG2017MS53), and the Innovation Studio from School of Biomedical Engineering, Shanghai Jiao Tong University

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Arranz, J., Guo, J., Yu, X. et al. Intrafascicular Vagal Activity Recording and Analysis Based on Carbon Nanotube Yarn Electrodes. J. Shanghai Jiaotong Univ. (Sci.) 25, 447–452 (2020). https://doi.org/10.1007/s12204-020-2197-9

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  • DOI: https://doi.org/10.1007/s12204-020-2197-9

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