A mood state self-assessment system based on electronic poms self-assessment scale

Abstract

The invention discloses a mood state self-rating system based on an electronized POMS self-rating scale. The system comprises a smart phone and a background cloud server. The independently developed electronized POMS self-rating scale is installed in the smart phone, scale data sent by the smart phone is received by the background cloud server, a mood state evaluating algorithm is operated, and an obtained main mood state and the change rule thereof, different mood state daily change rules of a user, total mood quantitative evaluation and other results are sent to the smart phone and fed back to the user. The electronized self-rating scale is operated through a sliding block, a button and other assemblies, the easy and convenient operation is suitable for daily mental state evaluation of mental patients and further consultation patients suffering from depression, mania, anxiety and the like, the treatment compliance of the patients is improved, mental state evaluation services can be provided for normal users in the environments of families and communities, and the accessibility of mental health medical treatment services is improved.

Description

technical field [0001] The invention relates to the fields of medical electronic systems, quantitative treatment of depression, health management and the like, in particular to a mood state self-assessment system based on an electronic POMS self-assessment scale. Not only can it provide daily mental examination and mood assessment services for patients in the hospital and patients with repeated visits, and then assist clinicians in making clinical decisions, but also provide mental health management services for normal users in the family and community environments, and realize the improvement of mental health status. Real-time tracking and quantitative evaluation. Background technique [0002] According to the research report of the World Health Organization (WHO) in 2004, about 450 million people worldwide suffer from neuropsychiatric diseases, and the disease burden caused by neuropsychiatric problems has accounted for 14% of the total global disease burden. According to...

AI Technical Summary

Problems solved by technology

However, due to the test-retest effect of the evaluation scales for mental illness, the results of multiple mental state evaluations using the same scale within a short period of time cannot effectively reflect the current or historical state of mind of the person being evaluated. Therefore, the clinically adopted The scale is generally reassessed at intervals of at least two weeks, which cannot describe and reflect the continuous and long-term change pattern of the patient's mental state

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