A home efficacy multi-modal intelligent evaluation system for wearable treatment equipment of insomnia through integration between traditional Chinese medicine and modern medicine

Guihong Zhang, Atsushi Ogihara, Siyu Zhou, Xiaotong Yang, Yujia Wang, Xiaowen Ma, Shuwu Li, Kai Li*

*この研究の対応する著者

研究成果: Article査読

抄録

Wearable treatment equipment has become a hot topic among traditional Chinese medicine (TCM) researchers. The wearable instrument for transcutaneous electrical stimulation therapy (TEST) developed by our research team has unique advantages in treating insomnia induced by the heart disorder due to phlegm and fire (HDPF). However, the treatment efficacy of the instrument has not been verified by multi-modal data, which limits its application at home. In fact, there is no intelligent efficacy evaluation system for the home treatment of insomnia with the instrument. To make up the gap, this paper attempts to build a home efficacy multi-modal intelligent evaluation system (HEMIES) for this wearable TEST instrument, drawing on the latest technologies of medicine and informatics. Taking HDPF-induced insomnia as an example, the authors firstly set up an index system of the HEMIES for HDPF-induced insomnia, and constructed a conceptual model of the HEMIES. Next, the syndrome images of TCM were fused with the text data of modern medicine, and used to evaluate the treatment efficacy and complete the HEMIES. Finally, 33 patients with HDPF-induced insomnia were recruited to treat the disease with the wearable TEST instrument at home. The observed results show that the prediction accuracy rate of the HEMIES was as high as 90.63%, indicating that the system boasts a good prediction ability and a high value for home application. Our HEMIES realizes the objective evaluation of the home treatment efficacy of the wearable TEST instrument in the absence of TCM practitioners, and provides a reference for the efficacy research of other TCM treatment equipment in home treatment.

本文言語English
ページ(範囲)1469-1476
ページ数8
ジャーナルTraitement du Signal
38
5
DOI
出版ステータスPublished - 2021 10月

ASJC Scopus subject areas

  • 電子工学および電気工学

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