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Establishment method for ADHD diagnosis model, storage module and processing equipment

A technology for diagnosis model and establishment method, applied in the field of disease diagnosis, which can solve the problems of low diagnosis accuracy and slow diagnosis time of ADHD.

Pending Publication Date: 2018-12-07
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a method for establishing a diagnostic model of ADHD, a storage module, and a processing device in view of the existing technical defects of low accuracy and slow diagnostic time for ADHD diagnosis

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  • Establishment method for ADHD diagnosis model, storage module and processing equipment
  • Establishment method for ADHD diagnosis model, storage module and processing equipment
  • Establishment method for ADHD diagnosis model, storage module and processing equipment

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Embodiment Construction

[0014] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.

[0015] Eigenvalue extraction of ADHD EEG signals:

[0016] EEG signals are composed of multiple frequency components and contain a lot of useful information. It is very important to choose an appropriate method to analyze EEG waveforms and extract pathological features. The energy spatial distribution of normal EEG signals and ADHD EEG signals is different, and the change of energy means the change of EEG signal characteristics, and the wavelet transform (WT) analysis method can decompose the EEG signals according to different frequencies and separate them Therefore, the multi-resolution wavelet joint time-frequency analysis method can be used to extract multi-scale energy features for typical non-stationary signals suc...

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Abstract

The invention discloses an establishment method for an ADHD diagnosis model, a storage module and processing equipment. The ADHD diagnosis model is applied to ADHD identification. The method comprisesthe steps that firstly, a discrete electroencephalogram sample signal x(n) is acquired; then, the x(n) is subjected to five-layer wavelet decomposition of db5 wavelets, wavelet decomposition coefficient matrixes of a5, d5, d4, d3 and d2 scales are read, energy values of wavelet decomposition coefficients are calculated, an energy characteristic vector T is established, an electroencephalogram signal energy value Ej is uniformized, and a uniformized characteristic vector E'j is obtained so that a uniformized energy characteristic matrix can be obtained; finally, the uniformized energy characteristic matrix is used as input of an SVM classifier, a radical basis kernel function is used as a kernel function for mode identification of brain waves, and a training model after mode identificationis used as the ADHD diagnosis model. When the established diagnosis model is used for ADHD identification, the speed is high, and the accuracy rate is high.

Description

technical field [0001] The invention relates to the field of disease diagnosis, and more specifically, relates to an ADHD diagnosis model establishment method, a storage module and a processing device. Background technique [0002] In medicine, EEG examination plays an important role in doctors' medical assessment, diagnosis and medical process monitoring. Its application range includes various brain diseases such as brain tumors, encephalitis, brain function decline, epilepsy and brain injury. In addition, this technology is also being applied to the research of other human health problems, expanding the scope of EEG signal detection and analysis technology. [0003] The healthy growth and development of children has always been highly valued by parents and society. However, some problems in children's growth and development stages, such as autism, ADHD, mental retardation, etc., are not as obvious as other diseases and are detected in time. Attention Deficit Hyperactivit...

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Application Information

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IPC IPC(8): A61B5/0476
CPCA61B5/7225A61B5/7264A61B5/369
Inventor 贺良华王国玮
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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