| Literature DB >> 32691284 |
Yuan-Yuan Zhang1, Qi-Liang Chen2, Qiong Wang3, Shan-Shan Ding2, Shu-Nan Li2, Shu-Jiao Chen2, Xue-Juan Lin2, Can-Dong Li4, Tetsuya Asakawa5,6.
Abstract
Acupuncture is an ancient therapeutic method based on the theory of Chinese medicine (CM). Traditional acupuncture has many limitations; it is subjective and relies more on the experience of an acupuncturist, and the efficacy is sometimes irreproducible. In contrast, electroacupuncture (EA) has special characteristics in terms of objectivity and stability, thereby gaining considerable attention. Parameter setting plays a crucial role in EA practice. The current paper summarizes the current situation and limitations of parameter setting in EA practice. Objectification is the tendency and future of CM as well as EA. With the development of computerized technologies, such as wearable sensors, vast data, and artificial intelligence, CM syndromes can be successfully objectified. We propose the development of a novel self-feedback-adjust EA system, which may improve the parameter setting in EA and be beneficial to both the patients and clinicians.Entities:
Keywords: Chinese medicine; acupuncture; artificial intelligence; electroacupuncture; parameter; stimulation
Mesh:
Year: 2020 PMID: 32691284 DOI: 10.1007/s11655-020-3269-2
Source DB: PubMed Journal: Chin J Integr Med ISSN: 1672-0415 Impact factor: 2.626