Personalized hearing loss modeling method
A technology of hearing loss and modeling methods, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as the influence of hearing experts' subjective preferences, achieve enhanced interpretability, realize hearing loss compensation, and better hearing loss compensation Effect
Active Publication Date: 2021-04-20
NANJING INST OF TECH
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Problems solved by technology
However, the method of supervised learning needs to manually label various audiogram data, which relies heavily on the expertise of labeling experts and is easily affected by the subjective preferences of audiologists.
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[0046] The technical scheme of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.
[0047] A personalized approach to hearing loss modeling comprising:
[0048] Step (A), acquiring audiograms and corresponding hearing aid insertion gains of a large number of hearing-impaired patient samples.
[0049] This step is to obtain sample data sources, wherein the more data sources are obtained, the higher the classification accuracy of the present invention is, and the recommended number is not less than (500-1000).
[0050] Preferably, the hearing aid insertion gain G in step (A) has a total of 133 dimensions, which are respectively 19 frequency points 125Hz, 160Hz, 200Hz, 250Hz under the input sound pressure level of 50dB, 55dB, 60dB, ...
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The invention discloses a personalized hearing loss modeling method. The method comprises the following steps: step (A), acquiring audiograms of a large number of hearing impaired patient samples and corresponding hearing aid insertion gains; step (B), dividing the hearing impaired patient samples into three types of moderate hearing impairment, severe hearing impairment and extremely severe hearing impairment according to hearing impairment degrees; step (C), aiming at the classified hearing impaired patient samples with moderate hearing loss, severe hearing loss and extremely severe hearing loss, classifying hearing aid insertion gains of each type of hearing impaired patient samples respectively; (D) calculating the average value of the audiogram curves corresponding to the hearing aid insertion gains under each category to represent the hearing loss of each category of individuals; and (E) for the to-be-classified audiogram, calculating the distance between the to-be-classified audiogram and each type of individual hearing loss, and classifying the to-be-classified audiogram according to the minimum distance between the to-be-classified audiogram and each type of individual hearing loss. The hearing aid fitting can depend on hearing experts as little as possible, and the defect that the existing hearing aid technology only depends on audiograms to classify hearing loss is overcome.
Description
technical field [0001] The invention relates to a personalized hearing loss modeling method. Background technique [0002] Currently, 350 million people worldwide suffer from some form of hearing loss, a number that will climb to 630 million in the next decade or so. Overall, the burden of hearing loss in the global economy is estimated at US$ 750 billion per year, making it imperative and urgent to quickly identify and address hearing impairment in affected individuals. [0003] An audiogram is the output of a standard hearing test, and displays the hearing threshold of the subject visually in the form of a spectrum on an inverted graph. In fact, it is just a graph of the discrete threshold of hearing versus frequency. The correct interpretation of the audiogram is to make the most It is the key to good clinical diagnosis and recommending the best treatment. While mobile and automated audiometry can provide a partial solution to the shortage of patients with hearing disor...
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IPC IPC(8): G06K9/62
Inventor 唐闺臣梁瑞宇吴亮王青云谢跃
Owner NANJING INST OF TECH