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HRV feature range estimation method for pressure description

A pressure and scope technology, applied in biometric identification, acquisition/recognition of facial features, biometric identification mode based on physiological signals, etc. Timely self-adjustment and overcoming the effect of rule redundancy

Active Publication Date: 2018-03-06
TIANJIN UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

The establishment of the traditional pressure recognition system is generally completed by establishing a classification model, and there are many algorithms such as random forest, logistic regression, linear discriminant, and naive Bayesian, but the specific role of each feature in this type of system cannot be quantified. way to express

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  • HRV feature range estimation method for pressure description
  • HRV feature range estimation method for pressure description
  • HRV feature range estimation method for pressure description

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Embodiment Construction

[0041] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0042] A method for estimating the range of HRV features used to describe stress, such as figure 1 shown, including the following steps:

[0043] Step 1. Use the Rhythm Master game to induce stress in the subjects, and at the same time collect the ECG signals of the subjects. In order to evaluate the stress label scientifically and objectively, we base on the difficulty level of the game, the parameters in the game (accuracy of clicks, number of mistakes) , score), facial expressions and questionnaire results to comprehensively evaluate the subject's stress state label;

[0044] In this embodiment, 205 pieces of ECG data (including 105 pieces of relaxation and 100 pieces of high pressure) are finally selected.

[0045] Step 2, extracting HRV time-domain and frequency-domain features from the collected electrocardiographic signal, and constructing...

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Abstract

The present invention relates to an HRV ((Heart Rate Variability) feature range estimation method for pressure description. The method comprises the following steps of: the step 1, employing a game named rhythm sight reading trainer to induce a subject to generate pressure, collecting subject's electrocardiograph signals, and estimating a subject's pressure state tag at this time; the step 2, extracting HRV time domain and frequency domain features from the collected electrocardiograph signals, and constructing a feature set; the step 3, constructing trees by employing the feature set obtainedin the step 2 according to an improved C4.5 decision tree algorithm, and selecting appropriate tree models according to a parameter control strategy; and the step 4, combining the selected trees intoa new tree, and extracting one value range of each HRV feature from the new tree. Individual differences is inclusive in the HRV feature value ranges extracted from the decision tree, so that the HRVfeature range estimation method for pressure description has universal significance; and moreover, the HRV feature range estimation method for pressure description can analyze whether a person is ina high-pressure state or not according to any one electrocardiographic wave of the person so as to give people a high-pressure early warning.

Description

technical field [0001] The invention belongs to the technical field of biological signals and intelligent processing, and relates to a pressure emotion recognition method based on electrocardiographic signals, in particular to a method for estimating an HRV characteristic range for describing pressure. Background technique [0002] People have been interested in emotion recognition for a long time, and research led by psychology has been carried out. With the frequent occurrence of emergencies and the increasing pace of modern life, people's emotions are mostly in a state of change. Therefore, the monitoring and identification of emotional changes is of positive and important significance to people's self-regulation and improvement of personal physical and mental health. [0003] In recent years, as the collection of biosignals becomes more convenient, more and more researches have been carried out on the use of biosignals for emotion recognition. The main biosignals used in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/70G06K9/00
CPCG06V40/174G06V40/10G06V40/15
Inventor 郑刚王映丽王贺贺孙莹戴敏陈彦会
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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