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Near-infrared hyperscanning analysis method oriented to social diagnosis of autism spectrum disorder

An analysis method and technology for autism, applied in the field of near-infrared ultra-scanning analysis, to achieve good market prospects, a wide range of applicable groups, and superior performance.

Inactive Publication Date: 2018-06-22
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

Although the above-mentioned autism diagnosis based on questionnaires and interviews has been widely used in actual diagnosis, these methods cannot avoid the subjectivity and bias in data collection

Method used

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  • Near-infrared hyperscanning analysis method oriented to social diagnosis of autism spectrum disorder
  • Near-infrared hyperscanning analysis method oriented to social diagnosis of autism spectrum disorder
  • Near-infrared hyperscanning analysis method oriented to social diagnosis of autism spectrum disorder

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Experimental program
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Embodiment

[0038] This example is divided into four steps, which are S1 collection and grouping of subjects, S2 data collection, S3 data preprocessing, and S4 analysis of differences. The details are as follows:

[0039] S1, 10 students from an autism school, 5 males and 5 males, (mean age 10 years old, standard deviation 2.3 years old), and 16 students from a certain primary school, 8 males and females each, (mean age 10 years old, standard deviation 2.3 years old) 3.5 years). Subsequent to grouping, the grouping conditions are A. autism and autism subject group, B. autism and normal subject group, C. normal subject and normal subject group. Specifically, there are 10 pairs in Group A, 10 pairs in Group B, and 8 pairs in Group C. Among them, 10 autistic students all participated in group A and group B, all of the normal group participated in group C, and some of them participated in group B. The three groups of subjects collected data in three days. When the experimental group collect...

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Abstract

The invention discloses a near-infrared hyperscanning analysis method oriented to social diagnosis of autism spectrum disorder. The method comprises the following steps: S1) collecting and grouping subjects: collecting autism spectrum disorder patients and normal subjects and grouping the autism spectrum disorder patients and the normal subjects as follows: A) group of autism spectrum disorder patients and autism spectrum disorder patients, B) group of autism spectrum disorder patients and normal subjects and C) group of normal subjects and normal subjects; S2) collecting data: respectively collecting blood oxygen signals of every two participants in the experiment in pairs at the time of completing cooperation tasks by adopting a near-infrared device in the manner of sitting face to face;S3) preprocessing data: performing noise reduction processing on blood oxygen data by using software in the near-infrared device or an MATLAB self-compiled program; and S4) analyzing difference: performing dividing of task states and comparison of group differences on the preprocessed blood oxygen data signals by using a wavelet coherence algorithm.

Description

technical field [0001] The invention belongs to the field of autism detection methods, and relates to a near-infrared ultra-scanning analysis method for the social diagnosis of autism. Background technique [0002] Autism spectrum disorder (ASD), or "autism spectrum disorder", "autism", "autism" is a collective term for a series of neurodevelopmental disorders. According to the "Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition)" published by the American Psychiatric Association in 2013, patients with this disorder usually have the following characteristics: social interaction and communication disorders, narrow interests and stereotyped behaviors, among which social Communication barriers are its core barriers. According to 2010 and 2012 estimates by the Autism and Developmental Disabilities Surveillance Network of the U.S. Centers for Disease Control and Prevention, approximately one in 68 U.S. children is diagnosed with an ASD. The disease is wide...

Claims

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Application Information

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IPC IPC(8): A61B5/16A61B5/1455
CPCA61B5/14553A61B5/165
Inventor 禹东川张明明
Owner SOUTHEAST UNIV
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