Parkinson's disease speech data classification system based on dbn and rf algorithms

A speech data, Parkinson's disease technology, applied in the field of intelligent classification algorithm, can solve the problem of lack of nonlinear feature processing ability and so on
CN107808663BActive Publication Date: 2021-04-27CHONGQING UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHONGQING UNIV
Publication Date
2021-04-27

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Abstract

The invention discloses a speech data classification system for Parkinson's disease based on DBN and RF algorithms, which is characterized in that it comprises: a speech data input module for collecting the speech data of a patient to be tested; a classification recognizer for classifying the speech data Perform classification recognition, the classification recognizer includes a feature transformation module based on the DBN deep belief network and a classifier based on the RF random forest algorithm, and reaches the preset qualification standard through original sample data training and testing; the output module is used to output classification recognition results. The effect is: DBN is introduced into the Parkinson's disease speech data classification system, and better features are introduced through nonlinear transformation, thereby obtaining more satisfactory accuracy and ensuring the accuracy of Parkinson's disease diagnosis.
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Description

technical field

[0001] The invention relates to an intelligent classification algorithm in biomedical information processing, in particular to a Parkinson's disease voice data classification system based on DBN and RF algorithms. Background technique

[0002] Parkinson's disease (PD) is a neurodegenerative disease of the central nervous system, symptoms mainly include tremor, stiffness, loss of muscle control, slow movement, poor balance and speech problems. So far, the disease has affected nearly 10 million people around the world, and China is also a high-incidence area of ​​Parkinson's disease. High-quality biomarkers are the key to the diagnosis and treatment of Parkinson's disease. Unfortunately, reliable PD biomarkers have not yet been identified. However, recent research has shown that speech signals (data) can help identify patients with Parkinson's disease from healthy people, since the vast majority of patients usually exhibit some degree of dysarthria.

[0003] ...

Claims

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