Parkinson's disease diagnosis method based on hybrid kernel function support vector machine model

Abstract

The invention discloses a parkinson's disease diagnosis method based on a hybrid kernel function support vector machine model. The method comprises steps that firstly, acquisition of speech signals for Parkinson patients and healthy people is performed; secondly, feature extraction of the speech signals is performed; thirdly, a hybrid kernel function of the support vector machine model is constructed; fourthly, the intelligent optimization algorithm is utilized to optimize a penalty parameter C, a Gaussian kernel function parameter g in the hybrid kernel function, a Sigmoid kernel function parameter h and a proportional parameter t in the establishment process of the support vector machine model, based on the optimization result, the optimal support vector machine model is established, andlastly, the optimal support vector machine model is utilized to classify and predict the to-be-detected speech, and diagnosis of Parkinson's diseases is achieved. The method is advantaged in that newideas are provided for diagnosis of the Parkinson's diseases, medical cost is reduced, diagnosis efficiency is improved, and accuracy of Parkinson's disease diagnosis is improved.

Description

technical field [0001] The invention relates to a method for diagnosing Parkinson's disease, in particular to a method for diagnosing Parkinson's disease based on a mixed kernel function support vector machine model, and belongs to the technical field of pattern recognition. Background technique [0002] Parkinson's disease is a common chronic neurological disease with a very high incidence among neurodegenerative diseases. Living with Parkinson's can impair movement, language, and other functions such as mood, behavior, thinking, and feeling. Parkinson's disease is a long-term chronic disease of the central nervous system that affects the motor system, and generally appears slowly over time. In the early stages of the illness, tremors, stiffness, delay in movement, and difficulty walking are most evident, after which problems with thinking and movement also occur. [0003] Studies have shown that due to the lack of dopamine, a substance that controls body movements, Parki...

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Problems solved by technology

[0006] If the low-dimensional samples are directly mapped to high-dimensional, the number of dimensions will show explosive growth, and may even be as many as infinite dimensions, so it is very difficult to directly calculate

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