Attention deficit disorder hyperkinetic disorders auxiliary diagnosis device and application method thereof

A technology for attention deficit and hyperactivity disorder, applied in the field of data classification based on convolutional neural network, which can solve the problems of danger, low recognition accuracy, human body damage, etc.
CN110693510AInactive Publication Date: 2020-01-17INST OF COMPUTING TECH CHINESE ACAD OF SCI
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
INST OF COMPUTING TECH CHINESE ACAD OF SCI
Publication Date
2020-01-17
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention provides an attention deficit disorder hyperkinetic disorders auxiliary diagnosis device and an application method thereof. The attention deficit disorder hyperkinetic disorders auxiliary diagnosis device comprises a display screen, a wearable acceleration sensor and a data processing module, wherein the display screen is used for interaction with a testee, and displaying a test scenario; the wearable acceleration sensor is used for collecting the limb acceleration of the testee in the test scenario; and the data processing module is used for pretreating the acceleration of the limb to obtain data to be tested, inputting the data to be tested into an attention deficit disorder hyperkinetic disorders based on a depth neural network to obtain an auxiliary diagnosis result, andtransmitting the auxiliary diagnosis result to the display screen. A classification method which realizes classification of the attention deficit disorder hyperkinetic disorders groups and control groups through an acceleration diagram based on a depth learning method provided by the invention has the advantages of being accurate and objective in results, and convenient for promotion, and can assist in auxiliary diagnosis of patients suffering from attention deficit disorder hyperkinetic disorders in clinical treatment.
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Description

technical field

[0001] The invention relates to the field of data classification based on convolutional neural networks, and in particular to an auxiliary diagnosis device for attention deficit hyperactivity disorder and a method for using the same. Background technique

[0002] ADHD, also known as ADHD in my country, is the most common mental disorder in childhood. Domestic and foreign surveys found that the prevalence rate was 3% to 7%, and the male to female ratio was (4 to 9): 1. There are about 14.61 million to 19.79 million children in my country, and the prevalence rate is as high as 4.31% to 5.83%. The onset of ADHD will bring learning disabilities, life obstacles and impaired social functions to patients, causing a greater medical and economic burden to the society. Therefore, early assessment and diagnosis of ADHD in children, and active intervention and treatment can make the patients significantly better and greatly reduce the malignant development of the disea...

Claims

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