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Depression recognition method, system and equipment based on voice analysis

A technology of speech analysis and recognition method, which is applied in medical science, psychological devices, sensors, etc., can solve the problems of lack of recurrence warning and lack of application of speech recognition technology for depression, so as to facilitate rehabilitation, reduce the cost of disease assessment, and improve disease management effect

Pending Publication Date: 2021-11-12
SHANGHAI MENTAL HEALTH CENT (SHANGHAI PSYCHOLOGICAL COUNSELLING TRAINING CENT)
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  • Abstract
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Problems solved by technology

However, at present, most of the speech recognition technologies for depression are still in the research stage, and most of them are researched abroad, and there is a lack of clinical practice of applying speech recognition technologies for depression in China.
In addition, there is still a lack of technology to use the voice characteristics of depressed patients for early warning of recurrence in depressed patients and as a monitoring indicator for disease development

Method used

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  • Depression recognition method, system and equipment based on voice analysis
  • Depression recognition method, system and equipment based on voice analysis
  • Depression recognition method, system and equipment based on voice analysis

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Embodiment Construction

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0037] In the following description, references to "some embodiments" describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or a different subset of all possible embodiments, and Can be combined with each other without conflict.

[0038] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to w...

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Abstract

The invention provides a depression recognition method, system and equipment based on voice analysis. The voice information of a patient in daily life is acquired through applying a voice intelligent analysis technology to a depression patient, the real-time monitoring on the depression symptom change is further achieved, and the technical support is provided for the recognition, recurrence monitoring and the like of depression, depression patients and doctors are helped to obtain better disease management, and rehabilitation plans of the patients are adjusted in time; and meanwhile, the disease assessment cost of the depression patients is greatly reduced, the patients can obtain accurate symptom monitoring in daily life and home nursing environments, disease recurrence early warning is made to possibly reducing the negative effects caused by depression recurrence, and rehabilitation of depression patients is facilitated.

Description

technical field [0001] The present invention relates to the technical field of speech recognition for emotion computing, in particular to a method, system and device for recognizing depression based on speech analysis. Background technique [0002] Depressive disorder is a type of mood disorder characterized by low mood, loss of interest, and lack of energy, accompanied by clinical symptoms such as unresponsiveness, inattention, decreased activity, and insomnia. According to the report of the World Health Organization, the number of people suffering from depression in the world has reached 350 million in 2015, and the scope of its influence continues to expand. According to the latest research results published by China Mental Health Survey (CMHS), in my country, the lifetime prevalence rate of depressive disorder reaches 6.8%, which is the most common mood disorder. Patients with depressive disorders exhibit high prevalence, disability, relapse, and suicide, and are a prom...

Claims

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Application Information

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IPC IPC(8): A61B5/16
CPCA61B5/165A61B5/4803A61B5/7264A61B5/746
Inventor 范青戴伟辉吕娜叶惠玲李踔然李欣
Owner SHANGHAI MENTAL HEALTH CENT (SHANGHAI PSYCHOLOGICAL COUNSELLING TRAINING CENT)
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