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Parkinson's disease early warning system based on daily behavior analysis

A behavioral analysis, Parkinson's disease technology, applied in the field of computer vision and deep learning, can solve the problems of delayed hospital visits, life-threatening Parkinson's disease, etc.

Active Publication Date: 2021-07-02
ANHUI ZHENGHUA BIOLOGICAL INSTR EQUIP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above symptoms are not easy to be detected or easily ignored by people in daily life, delaying timely hospital visit time, and eventually leading to life-threatening late-stage Parkinson's disease

Method used

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  • Parkinson's disease early warning system based on daily behavior analysis

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Embodiment Construction

[0023] 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.

[0024] Such as figure 1 As shown, a Parkinson's early warning system based on daily behavior analysis, including a video acquisition module, a video analysis module, a controller, a database, a processing terminal, a behavior analysis module, an alarm module and a specific behavior task module;

[0025] The video acquisition module is a plurality of multi-angle high-spatial-resolution cameras distributed in the living room, bedroom, and stairwell, which are used fo...

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Abstract

The invention discloses a Parkinson's disease early warning system based on daily behavior analysis, relates to the technical field of computer vision and deep learning, and comprises a video acquisition module, a video analysis module, a controller, a database, a processing terminal, a behavior analysis module, an alarm module and a specific behavior task module. According to the invention, a multi-azimuth high-spatial-resolution camera is adopted, computer vision and a deep learning technology are utilized, other hardware equipment is not needed, and behavior characteristics of TIA related symptoms, such as sleep disorder, balance loss, cognitive dysfunction and dyskinesia, are accurately captured by carrying out recognition tracking and skeleton analysis on 19 joint points of the trunk of a person, so that daily activity behavior capture and specific behavior task module scoring analysis are realized, and are compared with normal daily behaviors and behavior scoring values to objectively judge whether a testee suffers from the risk of Parkinson's disease or not; and then the effect of early warning of patients suffering from the Parkinson's disease is achieved.

Description

technical field [0001] The invention relates to the technical field of computer vision and deep learning, and is applied to the daily life of testers; in particular, it relates to a Parkinson's early warning system based on daily behavior analysis. Background technique [0002] Parkinson's disease (PD) is a common degenerative disease of the nervous system in middle-aged and elderly people. Biochemical alterations in imbalance with acetylcholine transmitters, clinically significant in motor symptoms of tremor, myotonia, bradykinesia, postural balance disturbance and non-motor symptoms of sleep disturbance, olfactory disturbance, autonomic dysfunction, cognitive and psychiatric disturbance feature. Meanwhile, Parkinson's disease is the second most common neurodegenerative disorder after Alzheimer's disease. The prevalence rate of people over 65 years old in my country is 1.7%. In the future, the number of Parkinson's disease patients in my country will rise from 1.99 millio...

Claims

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Application Information

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IPC IPC(8): G08B21/04
CPCG08B21/0476G08B21/0453G08B21/0446G08B21/0492
Inventor 李思迪盛益华曾星铫李至宏赵康罗华伦
Owner ANHUI ZHENGHUA BIOLOGICAL INSTR EQUIP CO LTD
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