Robot-Controlled Acupuncture-An Innovative Step towards Modernization of the Ancient Traditional Medical Treatment Method
- PMID: 31405133
- PMCID: PMC6789488
- DOI: 10.3390/medicines6030087
Robot-Controlled Acupuncture-An Innovative Step towards Modernization of the Ancient Traditional Medical Treatment Method
Abstract
Background: For several years now, research teams worldwide have been conducting high-tech research on the development of acupuncture robots. In this article, the design of such an acupuncture robot is presented. Methods: Robot-controlled acupuncture (RCA) equipment consists of three components: (a) Acupuncture point localization, (b) acupuncture point stimulation through a robotic arm, and (c) automated detection of a deqi event for the efficacy of acupuncture point stimulation. Results: This system is under development at the Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan. Acupuncture point localization and acupuncture point stimulation through a robotic arm works well; however, automated detection of a deqi sensation is still under development. Conclusions: RCA has become a reality and is no longer a distant vision.
Keywords: computer-controlled acupuncture (CCA); high-tech acupuncture; robot-assisted acupuncture (RAA); robot-controlled acupuncture (RCA).
Conflict of interest statement
The authors declare no conflict of interest.
Figures











References
-
- Statista, Smartphone user penetration as percentage of total global population from 2014 to 2021. [(accessed on 22 May 2019)]; Available online: https://www.statista.com/statistics/203734/global-smartphone-penetration....
-
- Jiang H., Starkman J., Kuo C.H., Huang M.C. Acu glass: Quantifying acupuncture therapy using google glass; Proceedings of the 10th EAI International Conference on Body Area Networks; Sydney, Australia. 28–30 September 2015; pp. 7–10.
-
- Chang M., Zhu Q. Automatic location of facial acupuncture-point based on facial feature points positioning; Proceedings of the 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT); Taiyuan, China. 24–25 June 2017.
-
- Kazemi V., Sullivan J. One millisecond face alignment with an ensemble of regression trees; Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR); Washington, WA, USA. 23–28 June 2014; pp. 1867–1874.
-
- Ren S., Cao X., Wei Y., Sun Y. Face alignment at 3000 fps via regressing local binary features; Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR); Columbus, OH, USA. 23–28 June 2014; pp. 1685–1692.
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources