Parkinson's disease screening method and system based on EEG signals

A signal and disease technology, applied in the field of EEG signal recognition, can solve the problems of long-term, human health impact, and inability to perform rapid (10-minute level) inspection, so as to improve screening efficiency and facilitate large-scale promotion

Pending Publication Date: 2021-08-06
北京脑陆科技有限公司
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Problems solved by technology

This method also requires expensive instruments for detection, the cost is high, and a large amount of blood needs to be collected, which has certain harm to the human body
[0005] Therefore, no matter which one of the above-mentioned existing methods is used, it takes a long time to carry out the inspection, and it is impossible to perform a qui

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  • Parkinson's disease screening method and system based on EEG signals
  • Parkinson's disease screening method and system based on EEG signals
  • Parkinson's disease screening method and system based on EEG signals

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Embodiment Construction

[0027] The core of the present invention is to provide a screening method and system for Parkinson's disease based on EEG signals, so as to improve the screening efficiency and achieve rapid inspection, which is suitable for large-scale physical examination and screening of a large range of people, and automatically identifies Parkinson's disease. Early EEG characteristics of the disease can predict and warn the onset of the disease 3-5 years in advance, fast and efficient, and easy to promote on a large scale.

[0028] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the presen...

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Abstract

The invention discloses a Parkinson's disease screening method and system based on EEG signal. The method comprises the following steps: collecting an EEG signal of a user by EEG equipment, performing preprocessing and coding on the collected EEG signal, and transmitting the coded EEG signal to a detection algorithm system; and extracting common features and advanced features from the EEG signal by the detection algorithm system, and analyzing the common features and the advanced features by using a deep learning algorithm to obtain the morbidity probability rating of the Parkinson's diseases. According to the invention, the early EEG features of Parkinson's disease can be automatically identified, and the morbidity can be predicted and warned 3-5 years in advance. Multi-dimensional prediction can be performed on the incidence probability, the incidence time and the illness degree. By the method, a patient only needs to wear inspection equipment for short-time resting EEG collection, so that the method is rapid and efficient, and is easy for large-scale popularization.

Description

technical field [0001] The invention belongs to the technical field of EEG signal recognition, and in particular relates to a Parkinson's disease screening method and system based on EEG signals. Background technique [0002] Parkinson's disease: Parkinson's disease (hereinafter referred to as: PD), also known as Parkinson's paralysis, is a common degenerative disease of the nervous system in middle-aged and elderly people. The main lesions are in the substantia nigra and striatum. Tremor, muscle rigidity and decreased movement are the main clinical features of this disease. Parkinson's disease is the fourth most common neurodegenerative disorder among older adults. [0003] Existing screening methods for early detection of Parkinson's disease include CT-MRI brain imaging examination, positron emission tomography PET or biochemical markers. [0004] Among the existing examination methods, although PET and CT-MRI examinations have high reliability, the cost is too high, ma...

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Application Information

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IPC IPC(8): A61B5/372
CPCA61B5/4082A61B5/7235A61B5/7267
Inventor 沈阳卢树强王晓岸
Owner 北京脑陆科技有限公司
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