Abstract
Acupuncture is an important part of Chinese medicine with unique ways of thinking and rich experiences whose efficacy has been proved by Chinese clinical research during thousands of years. LED acupuncture, as an emerging technology, is a relative ideal equivalent replacement of traditional acupuncture, whereas its mechanism is still unknown. In this paper, we developed a LED light acupuncture experimental equipment with various types of irradiation. We designed an experiment that irradiate at ST36 acupoint with continuous 850nm (infrared) LED light to obtain EEG signals from healthy human beings. AR burg spectrum estimation method and variance analysis method were used to analyze EEG signals of different rhythms, and it is found that continuous 850nm LED light stimulation leads to the significant increase of relative power spectrum at δ-rhythm and the significant reduce at α-rhythm, meanwhile, there was a larger lasting effect after the irradiation. However, there was no significant effect on β-rhythm and θ-rhythm. Thus, we have verified the effects of LED light acupuncture on brain activities. The obtained results can give some theoretical supports to reveal the LED acupuncture action mechanism.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017 |
| Editors | Qingli Li, Lipo Wang, Mei Zhou, Li Sun, Song Qiu, Hongying Liu |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-5 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538619377 |
| DOIs | |
| State | Published - Jul 2 2017 |
| Event | 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017 - Shanghai, China Duration: Oct 14 2017 → Oct 16 2017 |
Publication series
| Name | Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017 |
|---|---|
| Volume | 2018-January |
Other
| Other | 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017 |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 10/14/17 → 10/16/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Health Informatics
- Artificial Intelligence
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Signal Processing
- Biomedical Engineering
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