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Intelligent auxiliary Parkinson diagnosis method and device based on biological characteristics

A biological feature, Parkinson's disease technology, applied in the field of medical information intelligence, can solve the problems of not being able to detect and correctly diagnose Parkinson's disease early, affecting the quality of life, and uneven medical technology level.

Active Publication Date: 2018-07-20
陈霄 +2
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

50% to 80% of Parkinson's disease cases are discovered when the disease progresses to the point where the symptoms are very obvious, and even affect the quality of life and seek medical attention, thus losing the best opportunity for early treatment
Parkinson's disease is often not detected early and correctly diagnosed due to the uneven medical experience of doctors and the level of medical technology in medical institutions.

Method used

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  • Intelligent auxiliary Parkinson diagnosis method and device based on biological characteristics

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Embodiment 1

[0074] The Parkinson's disease auxiliary diagnosis method based on the intelligent analysis of multiple biological characteristics of the present invention, in specific implementation, comprises the following steps:

[0075] 1. Collect and analyze the voice information of the subjects, establish a voiceprint feature recognition and analysis system, and a characteristic map of the healthy population and a Parkinson's disease population, and conduct voiceprint analysis and recognition of the subjects.

[0076] In the early stage of Parkinson's disease, the patient's ability to control the vocal cords has a slight change. This slight change can cause tremors in the voice, soft intonation, or heavier breathing, which is a symptom of early motor retardation.

[0077] Therefore, the speech data of the healthy control group and the Parkinson's group can be obtained for comparative analysis to obtain the Parkinson's voiceprint, a unique targeting biomarker for the Parkinson's group, to...

Embodiment 2

[0135] An auxiliary diagnostic device for Parkinson's disease in one embodiment of the present invention, comprising:

[0136] a processor adapted to implement instructions;

[0137] and a memory adapted to store a plurality of instructions adapted to be loaded and executed by the processor, including:

[0138] receiving the first targeted biomarker of the subject transmitted by the client, processing the first targeted biomarker through the first feature recognition and analysis system, and obtaining the first targeted biomarker and the healthy population The first degree of dispersion of the feature map comparison of the first target biomarker and the first similarity of the feature map comparison of the Parkinson's disease population;

[0139] The characteristic maps of the healthy population and the characteristic maps of the Parkinson's population in the first feature recognition and analysis system are pre-established;

[0140] receiving the second targeted biomarker o...

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Abstract

The invention relates to an intelligent auxiliary Parkinson diagnosis method and device based on biological characteristics. The method comprises that Each result information of first to fourth dispersions and first to fourth similarities is distributed with a corresponding weight coefficient, an auxiliary Parkinson diagnosis result is obtained according to each result information and the corresponding weight coefficient, and the auxiliary Parkinson diagnosis result is output. According to the method, auxiliary diagnosis information which evaluates the severe degree of Parkinson of a tested one is generated according to the obtained biological characteristics of the tested one.

Description

technical field [0001] The present invention relates to the technical field of medical information intelligence, in particular to an intelligent auxiliary diagnosis method and device for Parkinson's disease based on multiple biological characteristics. Background technique [0002] Parkinson's disease is a neurodegenerative disease common in the elderly. 50% to 80% of Parkinson's disease cases are discovered when the disease progresses to obvious symptoms and even affects the quality of life and sees a doctor, thus losing the best opportunity for early treatment. People with moderate to severe Parkinson's disease are more difficult to treat and have a heavier medical burden. [0003] The onset of Parkinson's disease is insidious, and people with Parkinson's disease use the existing auxiliary examination technology, and most of the indicators have no abnormal changes. Therefore, at present, Parkinson's disease is usually diagnosed by experienced neurologists based on medica...

Claims

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Application Information

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IPC IPC(8): G16H50/20G06K9/00
CPCG06V40/174
Inventor 陈霄王平徐迎新
Owner 陈霄
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