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CN-121971290-A - Evaluation method for quantifying curative effect of acupuncture therapy on insomnia based on physiological sign signal analysis

CN121971290ACN 121971290 ACN121971290 ACN 121971290ACN-121971290-A

Abstract

The invention relates to the field of acupuncture physiotherapy evaluation and diagnosis, in particular to an evaluation method for quantifying the curative effect of acupuncture therapy on insomnia based on physiological sign signal analysis. The method comprises the steps of collecting physiological sign signals in real time, carrying out normalization processing to obtain normalized electroencephalogram signals, electrocardiographic signals and skin electric response signals, obtaining brain wave characteristics of each frequency band, dynamic interaction characteristics of the electrocardiographic signals and change rates of the skin electric response signals based on the normalized electroencephalogram signals, electrocardiographic signals and skin electric response signals, carrying out multidimensional signal characteristic fusion, and calculating curative effect scores based on the fused signal characteristics. The method solves the problems that the traditional curative effect evaluation method is easily influenced by subjective emotion of a patient, accurate curative effect quantification is difficult to provide, the traditional linear regression or a simple weighted average model is mostly adopted, the curative effect cannot be accurately evaluated in real time, and the dynamic adaptability to individual differences is insufficient.

Inventors

  • JIANG XIAO
  • WEN QIANG

Assignees

  • 山东衡昊信息技术有限公司

Dates

Publication Date
20260505
Application Date
20260224

Claims (8)

  1. 1. The evaluation method for quantifying the curative effect of acupuncture therapy on insomnia based on physiological sign signal analysis is characterized by comprising the following steps of: S1, acquiring physiological sign signals in real time, wherein the physiological sign signals comprise an electroencephalogram signal, an electrocardiogram signal and a skin electric reaction signal, and carrying out normalization processing on the physiological sign signals to obtain normalized electroencephalogram signals, electrocardiogram signals and skin electric reaction signals; S2, performing time-frequency domain analysis on the normalized electroencephalogram signals to obtain brain wave characteristics of each frequency band, analyzing the adjustment effect of the sympathetic nerves and the parasympathetic nerves based on the normalized electroencephalogram signals to obtain dynamic interaction characteristics of the electrocardiograph signals, calculating the change rate of the galvanic skin response signals based on the normalized galvanic skin response, and performing multidimensional signal characteristic fusion based on the brain wave characteristics of each frequency band, the dynamic interaction characteristics of the electrocardiograph signals and the change rate of the galvanic skin response signals to obtain fused signal characteristics; S3, calculating the curative effect score by carrying out nonlinear regression on the fused signal characteristics.
  2. 2. The method for evaluating the quantitative curative effect of acupuncture treatment on insomnia based on physiological sign signal analysis according to claim 1, wherein the step S1 specifically comprises: In the process of collecting physiological sign signals, all physiological sign signals are unified to a common sampling rate through a resampling technology.
  3. 3. The evaluation method for quantifying the efficacy of acupuncture treatment for insomnia based on physiological sign signal analysis according to claim 1, wherein S2 specifically comprises: And carrying out time-frequency domain analysis on the normalized electroencephalogram signals through wavelet transformation, and extracting frequency components in the signals to obtain the brain wave characteristics of each frequency band.
  4. 4. The method for evaluating the quantitative curative effect of acupuncture treatment on insomnia based on physiological sign signal analysis according to claim 3, wherein the step S2 specifically comprises: and constructing a dynamic interaction effect model based on the low-frequency component and the high-frequency component in the normalized electrocardiogram signal to obtain the dynamic interaction characteristics of the electrocardiogram signal.
  5. 5. The method for evaluating the quantitative curative effect of acupuncture treatment on insomnia based on physiological sign signal analysis according to claim 4, wherein the step S2 specifically comprises: The dynamic interaction effect model comprises a linear part and a nonlinear part, the independence of a low-frequency component and a high-frequency component in the normalized electrocardiogram signal is reserved, a nonlinear regulating factor is introduced, and nonlinear feedback of the sympathetic and parasympathetic activities is captured.
  6. 6. The method for evaluating the quantitative curative effect of acupuncture treatment on insomnia based on physiological sign signal analysis according to claim 5, wherein the step S2 specifically comprises: based on the brain wave characteristics of each frequency band, the dynamic interaction characteristics of the electrocardiogram signals and the change rate of the skin electric reaction signals, the multidimensional signal characteristics are fused by a nonlinear weighted fusion method, and the fused signal characteristics are obtained.
  7. 7. The method for evaluating the quantitative curative effect of acupuncture treatment on insomnia based on physiological sign signal analysis according to claim 1, wherein the step S3 specifically comprises: And introducing regression coefficients, constructing a regression model, carrying out nonlinear regression on the fused signal characteristics, and calculating to obtain the curative effect scores of the patients at all time points.
  8. 8. The method for evaluating the quantitative curative effect of acupuncture treatment on insomnia based on physiological sign signal analysis according to claim 7, wherein the step S3 specifically comprises: And updating the regression coefficient by adopting a gradient descent method and an error minimization strategy.

Description

Evaluation method for quantifying curative effect of acupuncture therapy on insomnia based on physiological sign signal analysis Technical Field The invention relates to the field of acupuncture physiotherapy evaluation and diagnosis, in particular to an evaluation method for quantifying the curative effect of acupuncture therapy on insomnia based on physiological sign signal analysis. Background With the continuous development of modern medical technology, acupuncture is one of the important therapies of traditional Chinese medicine, has been widely applied to the treatment of various diseases, especially in the aspect of insomnia treatment, and has shown remarkable clinical curative effects. However, although acupuncture achieves a good therapeutic effect in treating insomnia, how to quantitatively evaluate the therapeutic effect is still a problem to be solved. Traditional efficacy assessment methods mostly rely on subjective feelings and self-reports of patients, or use simple psychological scales for assessment, which are not only affected by individual differences and subjective factors of patients, but also difficult to provide accurate and objective quantitative data, resulting in lower accuracy and reliability of efficacy assessment. Therefore, how to carry out scientific and accurate quantitative evaluation on the curative effect of acupuncture and moxibustion for treating insomnia based on objective physiological data becomes an important research direction in the current medical field. With the continuous progress of physiological and medical technologies, a real-time monitoring technology of physiological sign signals has become an important means for evaluating therapeutic effects. Physiological sign signals such as electroencephalogram (EEG), electrocardiogram (ECG), galvanic Skin Response (GSR) and the like can reflect physiological responses of a human body in different treatment stages, and particularly, in the acupuncture treatment process, the change of the physiological sign signals can intuitively reflect the physiological state and the nerve regulation condition of a patient. The electroencephalogram signals can reveal the brain activity condition of a patient, particularly in a sleep stage, can effectively reflect the influence of acupuncture on a nervous system, and reflect the electric activity of a heart and the regulation condition of an autonomic nervous system, are important bases for evaluating cardiovascular health and autonomic nervous functions, and the skin electric response signals can reflect the emotion and psychological fluctuation of the patient, particularly the regulation effect of acupuncture on psychological factors such as anxiety, pressure and the like. Therefore, the physiological change in the acupuncture treatment process can be reflected more comprehensively and accurately by comprehensively analyzing a plurality of physiological sign signals, and reliable data support is provided for efficacy evaluation. In summary, the conventional curative effect evaluation method has the technical problems that the curative effect is evaluated by self-reporting, questionnaire or psychology scale, the effect is easily influenced by subjective emotion of a patient, the evaluation result has strong deviation and is difficult to provide accurate curative effect quantification, the traditional linear regression or a simple weighted average model is mostly adopted, the complex nonlinear relation of physiological sign signals is not fully considered, subtle changes of physiological states in the treatment process are difficult to capture, real-time and accurate curative effect evaluation cannot be provided, and the dynamic adaptability to individual differences is lacking, so that accurate curative effect feedback may not be obtained on different patients. Disclosure of Invention The invention provides an evaluation method for quantifying the insomnia curative effect of acupuncture therapy based on physiological sign signal analysis, which aims to solve the problems that the traditional curative effect evaluation method focuses on evaluating the curative effect through self-reporting, questionnaire investigation or psychology scale, is easily influenced by subjective emotion of a patient, has stronger deviation and is difficult to provide accurate curative effect quantification, and most adopts the traditional linear regression or simple weighted average model, fails to fully consider the complex nonlinear relation of physiological sign signals, is difficult to capture subtle changes of physiological states in the treatment process, cannot provide real-time and accurate curative effect evaluation, and lacks dynamic adaptability to individual differences, so that accurate curative effect feedback can not be obtained on different patients. The invention relates to an evaluation method for quantifying the curative effect of acupuncture therapy on insomnia based on physiological si