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Acoustic index-based dysarthria grading evaluation method

A technology for dysarthria and indicators, applied in the field of grading assessment of dysarthria based on acoustic indicators, can solve the problems of lack of objectivity and no classification of acoustic indicators, achieving less time-consuming, high degree of cooperation, and high degree of repeated measurement. Effect

Active Publication Date: 2020-02-21
广州科慧健远医疗科技有限公司
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Problems solved by technology

[0004] The instrument closest to the present invention that can be used for dysarthria grading is a questionnaire combined with physical examination assessment scale, that is, the Frenchay dysarthria rating scale, the dysarthria severity grading method, mainly from the clinical Angle classification, no classification by acoustic index, so still lacks objectivity

Method used

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Embodiment

[0043] In an indoor environment without obvious interference, the subject takes an upright seat, and the technician holds the SONY ZOOM H4NPRO professional recorder in his hand, so that the subject's lips are about 10cm away from the recorder. Before recording, the professional technician demonstrates to the subject, During the recording period, the subjects were reminded to maintain a natural and stable speech rate; after the recording started, the subjects were asked to read a total of 82 target sounds in the "Chinese Vocabulary for Dysarthria Speech Assessment System", and recorded with professional recording equipment. Each target sound Repeat the recording twice and archive it; use Cool Edit Pro2.1 software to cut out 82 target sounds, name them and categorize them for archiving.

[0044] Extract the target speech, analyze and calculate the intelligibility of the objective acoustic features of the subjects. The specific method is to use the Cool Edit Pro2.1 software to cu...

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Abstract

The invention discloses an acoustic index-based dysarthria grading evaluation method. The method comprises the following steps: acquiring voice data of a patient with dysarthria after cerebral apoplexy; extracting objective acoustic feature intelligibility of the voice data, and collecting, extracting and analyzing acoustic indexes of the subject, the objective acoustic feature intelligibility being a pathological voice analysis index which is high in recognition degree and good in sensitivity at home and abroad; determining critical values of slight abnormality, moderate abnormality and severe abnormality of the voice by using the obtained acoustic feature intelligibility based on an automatic clustering algorithm K-means of artificial intelligence; using the intelligibility critical value for clinically evaluating the severity level of the dysarthria of the subject. According to the method, evaluation errors caused by subjective factors such as the technical level of technicians, subjective judgment and regional difference are reduced; meanwhile, operation is easy, and consumed time is short.

Description

technical field [0001] The invention belongs to the technical field of sound processing, in particular to a method for grading and evaluating dysarthria based on acoustic indexes. Background technique [0002] The 3rd National Retrospective Sampling Survey Report of the Cause of Death completed by the Neurology Branch of the Chinese Medical Association from 2004 to 2005 found that cerebrovascular disease has become the number one cause of death in my country. From 1990 to 2013, the number of provinces in my country with the highest number of years of life lost due to stroke rose from 16 to 27. Among them, the mortality rate of stroke in urban areas was 125.56 / 100,000, and that in rural areas was 150.17 / 100,000. According to research reports, in 2013, there were about 25.7 million stroke survivors worldwide, and about 6.5 million people died of stroke. Moreover, stroke patients in my country have a clear trend of becoming younger, and the labor force aged 40 to 64 accounts ...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H50/70
CPCG16H50/20G16H50/70Y02A90/10
Inventor 牟志伟陈亮温晓宇江晨银
Owner 广州科慧健远医疗科技有限公司
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