Attention deficit hyperactivity disorder diagnosis monitoring system based on attention analysis algorithm for brain wave analysis

Abstract

The invention relates to the technical field of hyperactivity disorder monitoring, in particular to an attention deficit hyperactivity disorder diagnosis system based on a brain wave analytical algorithm. The system includes a monitoring diagnosis block, the inner side surface of the monitoring diagnosis block is an arc-shaped surface suitable for a human head structure; a processor is arranged inthe monitoring diagnosis block; a brain wave collecting electrode is also arranged on the inner side surface of the monitoring diagnosis block; the top end of the brain wave collecting electrode is also connected with a conducting layer; telescopic belts are further installed on the left side and the right side of the monitoring diagnosis block through connecting mechanisms, the processor comprises a data acquisition chip, a signal receiver, an algorithm module, a diagnosis grading module, a data storage module, a signal transmission module and a cloud background terminal, and the signal transmission module is further connected with mobile equipment. According to the invention, real-time brain wave data monitoring and analysis processing in a conventional state or within the playing timeof children are realized, so that the monitoring data is more accurate and representative, and the practicability and high efficiency of the product in use are greatly improved.

Description

technical field [0001] The invention relates to the technical field of monitoring and processing of ADHD in children, in particular to an attention deficit hyperactivity disorder diagnosis system based on an analysis algorithm of brain waves. Background technique [0002] ADHD, also known as Attention Deficit Hyperactivity Disorder (ADHD), is a common behavioral 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 impulsivity and other phenomena, often accompanied by cognitive impairment and learning difficulties. The disease starts before school and is a chronic process, and the disease not only affects children's life at school, family and out of school, but also easily leads ...

AI Technical Summary

Problems solved by technology

[0003] At present, the hospital's diagnosis of ADHD in children is still mainly based on the medical history, clinical manifestations, and physical examination provided by the parents and teachers of the child, and then the EEG of the child's brain is taken through the hospital's fixed EEG equipment. and abnormal brain evoked potentials, but they have no specific diagnostic significance. The traditional diagnosis of ADHD in children has the following shortcomings:

[0004] 1. Parents' dictation, past medical history, and physical examination can only be used as parents' subjective judgment of children's ADHD in view of children's behavior. Limited by the relevant medical knowledge of children's parents, there are no quantitative standards for evaluation and reference. Abnormal data and There are large deviations in behavior;

[0005] 2. In the environment of the hospital, children often show tension or anxiety during the short interrogation and observation process of the doctor, and even deliberately hold back the phenomenon of not moving. The normal performance and behavioral references in the situation have seriously affected the judgment and data evaluation of professional doctors;

[0006] 3. The EEG equipment in traditional hospitals is fixed, and children sit or lie next to the equipment and wear the equipment for monitoring. Due to the difference between the hospital environment and the normal environment and the depressive influence of children's self-consciousness, the EEG data is inaccurate, that is, it is not representative. ;

[0007] 4. The traditional EEG has no professional diagnosis basis for ADHD in children. It relies entirely on the professional ability and professional experience of professional doctors. Parents and children do not understand it, which also restricts the follow-up rehabilitation treatment of children.

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