Autonomic nervous function data processing method and device for high-risk schizophrenia population

Abstract

The invention discloses a method and device for processing autonomic nervous function data of high-risk schizophrenic groups, wherein the evaluation method includes the following steps: S1, obtaining human physiological information under different test conditions based on autonomic nerve tests; S2, according to heart rate variation HRV parameters under different test conditions are obtained based on the principle of sexual signal calculation; S3. Evaluate the balance state of autonomic nervous function according to the characteristics of HRV parameters; S4. Establish the SVM autonomic nervous function evaluation model for high-risk groups of schizophrenia, and obtain the parameters for high-risk schizophrenia. Data processing results of population autonomic nervous function. The invention belongs to the technical field of computer-aided evaluation, can realize non-invasive and dynamic evaluation of high-risk schizophrenia groups according to HRV parameters, is simple and easy to implement, and can have better clinical practicability.

Description

technical field [0001] The invention relates to the technical field of computer-aided assessment technology, in particular to a method and device for processing autonomic nervous function data of high-risk schizophrenia populations based on heart rate variability. Background technique [0002] Schizophrenia is a common severe mental problem. Its clinical assessment and evaluation rely on the experience of doctors and the subjective judgment of high-risk groups, which easily leads to misdiagnosis and missed diagnosis. The family burden caused by schizophrenia accounts for about 20% of the burden of all kinds of diseases, exceeding the proportion of the burden of cardiovascular, respiratory system and malignant tumors. [0003] At present, clinical evaluation mainly relies on various scoring scales and physician experience to evaluate the degree of autonomic dysfunction and prognosis of high-risk groups of schizophrenia. Early warning and prevention. Therefore, objectively a...

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Problems solved by technology

[0004] Studies have confirmed that EEG, PET, and fMRI can be used to detect brain activity in high-risk groups, but these methods have low time resolution and are expensive to manufacture and maintain. Judgment and scale scoring are difficult to relate to the overall imbalance of high-risk groups. The detection plan depends on the post-analysis results of various tests and cannot be dynamically adjusted according to the test results, which greatly reduces the effectiveness of detection and evaluation. Such an evaluation method It cannot objectively and quantitatively reflect the recovery status of high-risk groups in the early stage and during rehabilitation

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