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Diagnosis index, diagnosis model and diagnosis system for schizophrenia

A schizophrenia and diagnosis system technology, applied in the field of disease risk prediction, can solve problems such as short saccade path, reduced fixation point, unstable diagnostic value of eye movement paradigm, etc., and achieve good application prospects and high diagnostic value

Pending Publication Date: 2021-01-05
BEIJING ANDING HOSPITAL CAPITAL MEDICAL UNIV
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

Most studies show that schizophrenic patients have search strategy limitations in saccadic pathways, namely shorter saccadic paths, decreased fixation with increasing duration, and avoidance of obvious visual characteristic stimuli, especially in facial emotion recognition.
[0007] At present, some researchers believe that the diagnostic value of a single eye movement paradigm is unstable, and the research trend is to use a combination of several paradigms to distinguish schizophrenia patients from normal people

Method used

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  • Diagnosis index, diagnosis model and diagnosis system for schizophrenia
  • Diagnosis index, diagnosis model and diagnosis system for schizophrenia
  • Diagnosis index, diagnosis model and diagnosis system for schizophrenia

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0054] Example Diagnosis model construction

[0055] 1. Research object

[0056] 1.1 Source of subjects

[0057] A total of 105 people were tested, including 24 first-episode patients with schizophrenia, 41 people with chronic schizophrenia, and 40 healthy controls. All patients came from outpatients and inpatients who visited Beijing Anding Hospital Affiliated to Capital Medical University from January 2014 to February 2015; normal subjects were recruited from Beijing Anding Hospital Affiliated to Capital Medical University, all of them were local population, and The two groups of subjects were matched in terms of age, gender and age.

[0058] 1.2 Inclusion and exclusion criteria

[0059] Subjects who meet all the inclusion criteria and do not meet any of the exclusion criteria can enter this study.

[0060] 1.2.1 Inclusion criteria

[0061] Common standards: ⑴Age 18-55 years old, gender is not limited, right-handed, education level from junior high school to undergradua...

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Abstract

The invention provides a diagnosis index, a diagnosis model and a diagnosis system for schizophrenia. The diagnosis model comprises four key diagnosis indexes of fixed-point staring skewness peak time, face region fixation time, face region entering times and face region first fixation point fixation time. Compared with the prior art, the diagnosis model has the advantages that the diagnosis accuracy of schizophrenia is greatly improved, and a treatment scheme can be better formulated clinically.

Description

technical field [0001] The invention belongs to the field of disease risk prediction, and relates to a diagnostic index, a diagnostic model and a diagnostic system for schizophrenia. Background technique [0002] Schizophrenia is a chronic and highly disabling severe mental illness. Patients may present with hallucinations, delusions, speech disturbances and other negative symptoms combined with psychotic symptoms and poor thinking, and have obvious symptoms such as decreased memory and processing speed. Cognitive impairment, which affects nearly 1% of the world's population, is one of the top ten causes of disability worldwide. Although drug treatment can alleviate the symptoms of psychosis, the treatment effect is not good. About 20-30% of patients are ineffective to drugs, 35% will relapse after treatment, and 55% will have lifelong symptoms. At present, the diagnosis of schizophrenia mainly relies on explicit mental symptoms, and the sensitivity and specificity of objec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/16G16H50/20
CPCG16H50/20A61B5/165A61B5/163A61B5/4088A61B2560/0223
Inventor 李先宾王传跃王雪琦温玉杰杨海波
Owner BEIJING ANDING HOSPITAL CAPITAL MEDICAL UNIV
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