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Method for diagnosing post-stroke dysarthria tone errors based on neural network and diagnosis device therefor

A neural network and dysarthria technology, applied in the field of medical diagnosis, to achieve the effects of convenient storage, reduced errors and less consumption

Pending Publication Date: 2020-04-17
广州科慧健远医疗科技有限公司
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Problems solved by technology

But few people have studied the tone of dysarthria in Chinese

Method used

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  • Method for diagnosing post-stroke dysarthria tone errors based on neural network and diagnosis device therefor
  • Method for diagnosing post-stroke dysarthria tone errors based on neural network and diagnosis device therefor

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Embodiment Construction

[0045] like figure 1 As shown, the diagnostic method of the embodiment of the present invention specifically includes the following steps:

[0046] S1. collect monosyllable tone data of post-stroke dysarthria patients and normal adults of the same age group with mandarin as their mother tongue, establish a voice database 100 after preprocessing the voice data, extract the F0 frequency curve 101, and divide These are the training group and the test group. In this embodiment, the training group consists of 250 normal persons and 250 patients each, and the test group consists of 50 normal persons and 50 patients each, totaling 600 persons.

[0047] S2. Constructing a feedforward and backpropagation neural network 102 for tone classification;

[0048] S3. The F0 frequency data extracted by the training group in the speech database of step 1 is used as input, and the feedforward backpropagation neural network 102 constructed in step 2 is trained and corrected to obtain the neural ...

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Abstract

The invention relates to a method for diagnosing post-stroke dysarthria tone errors based on a neural network and a diagnosis device therefor, and belongs to a novel dysarthria objective evaluation technology based on acoustic indexes. According to the method, monosyllable word tone data of post-stroke dysarthria patients taking mandarin as a mother language and normal adults of the same age groupare collected and divided into a training group and a test group; the training group is trained by an artificial neural network to obtain a diagnosis model; the correct rate of automatic tone identification of the test group is tested; and parameters are adjusted until the diagnosis accuracy is greater than 90%. According to the method, the tone is evaluated through artificial intelligence, the objective and efficient purposes can be achieved, the evaluation difference by different mechanisms and different therapists is reduced, and the method has certain guiding significance for implementation of rehabilitation training.

Description

technical field [0001] The invention relates to the technical field of medical diagnosis, and relates to a new technology and application method for objective assessment of dysarthria based on acoustic indicators, in particular to a neural network-based method for diagnosing post-stroke dysarthria tone errors and a diagnostic device thereof. Background technique [0002] The summary of "China Stroke Prevention Report 2018" shows that stroke is the first cause of death and disability among adults in my country, and it has the characteristics of high incidence, high disability, high mortality and high recurrence rate. According to the Global Burden of Disease (GBD) data in 2016, stroke is the number one cause of years of life lost (YLL) in my country. "2018 China Health Statistics Summary" shows that in 2017, cerebrovascular diseases accounted for 23.18% of the rural population and 20.52% of the urban population, which means that at least 1 out of every 5 deaths in stroke. I...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L25/66G10L25/30A61B5/00
CPCG10L25/66G10L25/30A61B5/48
Inventor 牟志伟吴思仪陈亮江晨银
Owner 广州科慧健远医疗科技有限公司
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