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Depression tendency assessment method and device

An evaluation device and tendency technology, which is applied in the field of depression tendency evaluation methods and devices, can solve the problems of not having depression and depression identification methods are not suitable for early depression patients, so as to increase attention, reduce the influence of subjective factors, and reduce the environmental impact. and the effects of equipment noise

Active Publication Date: 2021-12-31
BEIJING UNIV OF TECH
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Problems solved by technology

However, because the early depression population does not have the basic characteristics of depression, the identification method of depression based on these behavioral and physiological signals is not suitable for early depression patients

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  • Depression tendency assessment method and device
  • Depression tendency assessment method and device
  • Depression tendency assessment method and device

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[0056] In order to make the purpose, technical solutions and advantages of the present disclosure clearer, the present disclosure will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are exemplary only, and are not intended to limit the scope of the present disclosure. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concepts of the present disclosure.

[0057] In the present disclosure, the described embodiments are some of the embodiments of the present disclosure, but not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present disclosure.

[0058] In the description of the present disclosure, it...

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Abstract

The invention provides a depression tendency assessment method and device. The method comprises the following steps: obtaining response time of a tested person making an emotional decision; performing feature extraction on the reaction time to obtain original feature parameters; performing dimension reduction processing on the original feature parameters to obtain evaluation feature parameters; and inputting the evaluation feature parameters into a pre-trained extreme learning machine model to obtain a depression tendency index. According to the method, depression tendency evaluation is performed according to the reaction time of the emotional decision made by the tested person, so that the attention on the emotion and the reaction speed can be increased. Compared with manual evaluation in the related technology, influence of subjective factors is reduced, and compared with evaluation through physiological signals in the related technology, environment and equipment noise is reduced, and improvement of depression tendency evaluation accuracy is facilitated.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, in particular to a method and device for assessing depression tendency. Background technique [0002] Depression is a mental illness characterized by affective disorders, mainly manifested as low mood, dysthymia and cognitive dysfunction. According to the report of the World Health Organization in 2018, more than 300 million people of all ages around the world suffer from depression, and it is expected to rise to the second place after heart disease by 2020, and depression can increase the risk of cardiovascular disease, diabetes It seriously affects people's daily work, study and life, and even leads to suicide in severe cases. [0003] At present, clinically, because there are no biological markers related to depressive symptoms, the clinical diagnosis of depression is mainly conducted by psychiatrists through interviews. [0004] With the development and mature appli...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/16
CPCA61B5/165A61B5/7203A61B5/7264Y02A90/10
Inventor 栗觅胡斌吕胜富康嘉明
Owner BEIJING UNIV OF TECH
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