Multi-physiological signal emotion quantitative evaluation method based on two-dimensional continuous model

A physiological signal and quantitative evaluation technology, applied in the field of predictive analysis, can solve problems such as strong subjectivity and the influence of patients' self-consciousness, so as to reduce the influence and improve the fitting effect

Pending Publication Date: 2022-04-29
SUN YAT SEN UNIV
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Problems solved by technology

So far, the most commonly used clinical method for assessing emotional state is scale questionnaire assessment, which is easily affected by the patient's own consciousness and is highly subjective.

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  • Multi-physiological signal emotion quantitative evaluation method based on two-dimensional continuous model
  • Multi-physiological signal emotion quantitative evaluation method based on two-dimensional continuous model
  • Multi-physiological signal emotion quantitative evaluation method based on two-dimensional continuous model

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Embodiment Construction

[0032] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. For the step numbers in the following embodiments, it is only set for the convenience of illustration and description, and the order between the steps is not limited in any way. The execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art sexual adjustment.

[0033] Such as figure 1 As shown, the present invention provides a kind of quantitative evaluation method of multiple physiological signal emotion based on two-dimensional continuous model, and this method comprises the following steps:

[0034] S1. Collect multiple physiological signal data and perform preprocessing to obtain preprocessed signals;

[0035] Specifically, the multi-physiological signal data includes original ECG signals, original pulse wave signals, and original skin electrical signals. The original ...

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Abstract

The invention discloses a multi-physiological signal emotion quantitative evaluation method based on a two-dimensional continuous model, and the method comprises the steps: collecting and preprocessing multi-physiological signal data, and obtaining a preprocessed signal; performing time domain feature, frequency domain feature and nonlinear domain feature extraction processing on the preprocessed signals to obtain multiple physiological signal features; fusing the multiple physiological signal features and training a support vector regression model to obtain an emotion recognition model; and obtaining a to-be-detected signal, inputting the to-be-detected signal to the emotion recognition model, and outputting an emotion evaluation result. By using the method and the system, the emotion can be objectively and accurately analyzed by using the physiological signal, and the method and the system have certain universality. The multi-physiological-signal emotion quantitative evaluation method based on the two-dimensional continuous model can be widely applied to the field of predictive analysis.

Description

technical field [0001] The invention relates to the field of predictive analysis, in particular to a method for quantitatively evaluating emotions of multiple physiological signals based on a two-dimensional continuous model. Background technique [0002] Individuals' psychological changes, physiological changes, and behavioral changes caused by internal and external factors are all attributed to changes in their own emotions, which can be perceived and identified. Inter-subject variability greatly complicates the development of automatic emotion recognition models. In order to achieve the goal of quantifying individual emotional states, effective methods are needed to quantitatively assess emotions. So far, the most commonly used clinical method for assessing emotional state is scale questionnaire assessment, which is easily affected by the patient's own consciousness and is highly subjective. Contents of the invention [0003] In order to solve the above-mentioned tech...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/16A61B5/0205A61B5/33A61B5/24
CPCA61B5/165A61B5/0205A61B5/33A61B5/24A61B5/7267
Inventor 吴万庆幸运蒋明哲张献斌
Owner SUN YAT SEN UNIV
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