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 | Song Qiu, Hongying Liu, Li Sun, Lipo Wang, Qingli Li, Mei Zhou |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-5 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538619377 |
| DOIs | |
| State | Published - Feb 22 2018 |
| 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 | China |
| City | Shanghai |
| Period | 10/14/17 → 10/16/17 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Health Informatics
- Artificial Intelligence
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Signal Processing
- Biomedical Engineering
Cite this
}
Power spectrum analysis of EEG signals evoked by LED acupuncture in healthy subjects. / Han, Chunxiao; Sun, Xiaozhou; Cui, Shigang; Che, Yanqiu; Qin, Yingmei.
Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017. ed. / Song Qiu; Hongying Liu; Li Sun; Lipo Wang; Qingli Li; Mei Zhou. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-5 (Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017; Vol. 2018-January).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Power spectrum analysis of EEG signals evoked by LED acupuncture in healthy subjects
AU - Han, Chunxiao
AU - Sun, Xiaozhou
AU - Cui, Shigang
AU - Che, Yanqiu
AU - Qin, Yingmei
PY - 2018/2/22
Y1 - 2018/2/22
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85047519272&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85047519272&partnerID=8YFLogxK
U2 - 10.1109/CISP-BMEI.2017.8302230
DO - 10.1109/CISP-BMEI.2017.8302230
M3 - Conference contribution
AN - SCOPUS:85047519272
T3 - Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
SP - 1
EP - 5
BT - Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
A2 - Qiu, Song
A2 - Liu, Hongying
A2 - Sun, Li
A2 - Wang, Lipo
A2 - Li, Qingli
A2 - Zhou, Mei
PB - Institute of Electrical and Electronics Engineers Inc.
ER -