TY - JOUR
T1 - A home efficacy multi-modal intelligent evaluation system for wearable treatment equipment of insomnia through integration between traditional Chinese medicine and modern medicine
AU - Zhang, Guihong
AU - Ogihara, Atsushi
AU - Zhou, Siyu
AU - Yang, Xiaotong
AU - Wang, Yujia
AU - Ma, Xiaowen
AU - Li, Shuwu
AU - Li, Kai
N1 - Funding Information:
This research is supported by "Integrated equipment package for individualized intelligent rehabilitation diagnosis and treatment of traditional Chinese medical encephalopathy at home - Take insomnia and epilepsy as an example based on traditional Chinese medical intelligent syndrome differentiation for treatment" which is the Modern TCM Diagnosis and Treatment Equipment R&D Project (Grant No.: 2021C03116) in the Key R&D Program of Zhejiang Province.
Publisher Copyright:
© 2021 Lavoisier. All rights reserved.
PY - 2021/10
Y1 - 2021/10
N2 - 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.
AB - 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.
KW - Home treatment
KW - Insomnia
KW - Multi-modal intelligent evaluation system (MIES)
KW - Traditional Chinese medicine (TCM)
KW - Wearable TCM treatment equipment
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U2 - 10.18280/ts.380522
DO - 10.18280/ts.380522
M3 - Article
AN - SCOPUS:85120475217
VL - 38
SP - 1469
EP - 1476
JO - Traitement du Signal
JF - Traitement du Signal
SN - 0765-0019
IS - 5
ER -