Jingzhi Zhang, Xingzhao Zhang, Yao Liu, Yuanzi Zhou, Site Wang, Hanyu Zhou, Hongguang Zhu, Facai Lin, Zhenlong Xing
School of acupuncture and Tuina, School of Health and Rehabilitation, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Shaanxi Yonghe Jingai Health Management Consulting Co., Ltd., Xi'an 710077, China.
J Tradit Chin Med. 2025 Jun;45(3):702-710. doi: 10.19852/j.cnki.jtcm.2025.03.021.
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.
在人工智能（AI）与医学数据信息化的背景下，智能中医应运而生，成为一种新的医学模式。在本研究中，我们将情感计算引入中医五音疗法的诊疗过程。并提出了一个包括五音诊断、监测与治疗的智能诊疗系统，以实现智能音乐匹配。该系统基于声像数据库对五音进行标准化采集与诊断。然后直观呈现评估与监测过程，并利用情感计算建立情感分析模型。另一方面，该系统采用虚拟现实（VR）视觉媒体音乐和体感音乐来播放并智能匹配五音，解决了五音疗法临床治疗中情感数据难以量化、泛化特征提取能力有限以及五音疗法智能化研究相对不足等问题。本研究能够促进医疗、信息和音乐领域的技术融合，从而提高诊疗准确性。它对推动中医诊疗的智能化发展具有重要意义。
