Children hyperactivity analysis system based on functional nuclear magnetic resonance image

Abstract

The invention discloses a children hyperactivity analysis system based on a functional nuclear magnetic resonance image. The children hyperactivity analysis system comprises a data acquisition module,a data analysis module and a data judgment module. The concrete steps are listed as follows: step one, the whole brain resting state functional nuclear magnetic resonance image data of a large numberof normal children and hyperactive children are acquired; step two, the standardized signal analysis and processing flow is performed on the image data according to the SPM8 tool box; step three, spectral analysis is performed on the image time sequences of 116 brain regions; step four, pattern classifiers are acquired according to the standard forward neural network structure design technology;step five, the classification accuracy of the acquired 116 pattern classifiers is ordered by using a test sample set; step six, the data are acquired from the subjects of which the hyperactivity riskrequires to be evaluated; and step seven, the data acquired in the step six are inputted to the corresponding pattern classifiers so as to acquire the corresponding classification results.

Description

technical field [0001] The invention relates to a child ADHD analysis system based on functional nuclear magnetic resonance images, which belongs to the field of medical technology. Background technique [0002] ADHD (abbreviated as ADHD), also known as Attention Deficit Hyperactivity Disorder (ADHD). It is a common abnormal behavior problem in children. These children have normal or near-normal intelligence, but have defects in learning, behavior, and emotion. The main manifestations are difficulty in concentration, narrow attention span, short attention span, and activities regardless of occasions, which are not commensurate with age and developmental level. Excessive, emotional impulsiveness, etc., often accompanied by cognitive impairment and learning difficulties. The disease starts before school and is a chronic process. The disease not only affects children's school, family and out-of-school life, but also easily leads to persistent learning difficulties, behaviora...

AI Technical Summary

Problems solved by technology

These children have normal or near-normal intelligence, but have defects in learning, behavior, and emotion. The main manifestations are difficulty in concentration, narrow attention span, short attention span, and activities regardless of occasions, which are not commensurate with age and developmental level. Excessive, emotional impulsiveness, etc., often accompanied by cognitive impairment and learning difficulties

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