Spike-frequency adaptation of neural electrical signals evoked by manual acupuncture

Xiaoqin Li, Yanqiu Che, Xiaobin Wang, Chunxiao Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Spike-frequency adaptation is one of the most prominent features in the neural system, which is of importance in neural electrical information processing. Manual acupuncture is an ancient sophisticated therapeutic method. Manipulation to the acupoint is a kind of mechanical stimulation to the neural system. In this paper, an acupuncture experimental design is proposed, that is, different manipulations are applied to Zusanli acupoint and collect neural electrical signals from spinal dorsal root of Sprague Dawley rat. Firing rate analysis is used. It is found that acupuncture can induce spike-frequency adaptation from both experimental and theoretical modeling study.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages628-632
Number of pages5
ISBN (Electronic)9781479958382
DOIs
StatePublished - Jan 1 2014
Event2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014 - Dalian, China
Duration: Oct 14 2014Oct 16 2014

Publication series

NameProceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014

Other

Other2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014
CountryChina
CityDalian
Period10/14/1410/16/14

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Health Information Management
  • Information Systems
  • Biomedical Engineering
  • Health Informatics

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  • Cite this

    Li, X., Che, Y., Wang, X., & Han, C. (2014). Spike-frequency adaptation of neural electrical signals evoked by manual acupuncture. In Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014 (pp. 628-632). [7002850] (Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BMEI.2014.7002850