Self-assessment system of hepatolenticular degeneration speech disorder based on compression sensing

Abstract

The invention relates to a self-assessment system of a hepatolenticular degeneration speech disorder based on compression sensing. The self-evaluation system is characterized in that the self-evaluation system includes an articulation disorder automatic assessment module, a speech disorder automatic assessment module, a disease classification automatic recognition module, and a disease grade automatic assessment module. According to the self-assessment system, improved speech signal compressed sensing sampling is provided, the powerful hardware support and the data compression technology are provided for remote patient data sampling, the self-assessment system is of great practical significance to realize remote data acquisition and testing, a foundation is laid for acquisition of regionalsample data needed for the later database construction, and the powerful technical support is also provided for using of a self-identification system for all patients.

Description

technical field [0001] The invention relates to a self-assessment system for hepatolenticular degeneration speech disorder based on compressed sensing. Background technique [0002] Hepatolenticular degeneration (HLD), also known as Wilson's disease (WD), is an autosomal recessive genetic disease that causes brain basal ganglia degeneration and liver function damage due to copper metabolism disorders. .3 The ATP7B gene mutation causes intracellular copper ion transmembrane transport disorder, so that copper is deposited in the liver, basal ganglia of the brain and cornea [1] . Especially the lenticular nucleus is invaded, the putamen is the earliest and most obvious, followed by the globus pallidus, caudate nucleus and cerebral cortex, subthalamic nucleus, red nucleus, substantia nigra, thalamus and dentate nucleus can also be involved. Clinical manifestations Progressive exacerbation of extrapyramidal symptoms, corneal K-F ring, liver cirrhosis, mental symptoms and renal ...

AI Technical Summary

Problems solved by technology

[0056] The present invention designs a self-assessment system for hepatolenticular degeneration speech disorder based on compressed sensing, and the technical problem it solves is how to organically combine speech recognition technology with speech disorder evaluation and rehabilitation, and apply artificial intelligence to clinical medicine Among them, the realization of computer-aided automatic speech impairment assessment and rehabilitation can not only assist doctors in diagnosis and treatment, but also be used in patients' self-diagnosis, which is of great help to patients in discovering their illness and grasping the development of the illness in time

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