Traditional Chinese Medicine five-tone intelligent diagnosis and treatment system.

Journal: Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan
Published Date:

Abstract

Under the background of Artificial Intelligence (AI) and medical data informationization, intelligent Traditional Chinese Medicine (TCM) emerges as a new medical model. In this study, we introduce Affective Computing into the diagnosis and treatment process of TCM Five-Tone Therapy. And proposes an intelligent diagnosis and treatment system including Five-tone diagnosis, monitoring and treatment, to achieve intelligent music matching. This system based on sound-image database for standardized collection and diagnosis of the Five-tone. The assessment and monitoring process are then visually presented, and an emotion analysis model is established by using affective computing. On the other hand, the system employs virtual reality (VR) visual media music and somatosensory music to play and intelligently match the Five-tone, solving issues in the clinical treatment of Five-tone therapy, such as the difficulties of quantifying emotional data, limited ability for generalization feature extraction, and relatively insufficient research on the intelligence of Five-tone therapy. This study can promote the integration of technology in the fields of healthcare, information, and music, thereby enhancing the accuracy of diagnosis and treatment. It holds significant importance in advancing the intelligent development of Traditional Chinese Medicine diagnosis and treatment.

Authors

  • Zhang Jingzhi
    School of acupuncture and Tuina, School of Health and Rehabilitation, Nanjing University of Chinese Medicine, Nanjing 210023, China.
  • Zhang Xingzhao
    Shaanxi Yonghe Jingai Health Management Consulting Co., Ltd., Xi'an 710077, China.
  • Liu Yao
    Faculty of Management Engineering, Huaiyin Institute of Technology, Huai'an, China.
  • Zhou Yuanzi
    School of acupuncture and Tuina, School of Health and Rehabilitation, Nanjing University of Chinese Medicine, Nanjing 210023, China.
  • Wang Site
    School of Medical Humanities, Nanjing University of Chinese Medicine, Nanjing 210023, China.
  • Zhou Hanyu
    Guangdong Provincial Integrated Traditional Chinese and Western Medicine Hospital, Foshan 528200, China.
  • Zhu Hongguang
    Guangdong Provincial Integrated Traditional Chinese and Western Medicine Hospital, Foshan 528200, China.
  • Lin Facai
    School of acupuncture and Tuina, School of Health and Rehabilitation, Nanjing University of Chinese Medicine, Nanjing 210023, China.
  • Xing Zhenlong
    Guangdong Provincial Integrated Traditional Chinese and Western Medicine Hospital, Foshan 528200, China.