Graph automatic identification method of audiometry results

Abstract

The invention provides a graph automatic identification method of audiometry results. The method is characterized by comprising the following steps that S1, the difference between a hearing thresholdvalue at the highest point and a hearing threshold value at the lowest point is calculated; S2, upper horizontal frequency width and lower horizontal frequency width are calculated to calculate a frequency band value; S3, critical bandwidth is calculated; S4, ranges of top and bottom limitations of the frequency widths are calculated; S5, the ranges are contrasted with the critical bandwidth to obtain a conclusion. The provided graph automatic identification method of audiometry results can help doctors and operators quickly and accurately discover potential or existing hearing damage, timelycarry out risk assessment on subjects, provide more complete structural data for further research of damaged parts and precipitating factors, improve the diagnosis accuracy, in addition, provide convenience for subjects to read and understand testing results, and provide elaborated decision basis for daily protection, prevention and rehabilitation of subjects.

Description

technical field [0001] The invention relates to an analysis method for hearing test results, in particular to an automatic recognition method for hearing test result graphics. Background technique [0002] Hearing test is the most routine and important examination item in the otology clinic. The results can reflect the degree and nature of hearing loss and the location of the lesion, and are widely used in clinical diagnosis and treatment of otolaryngology and experience. At present, the hearing devices on the market display the hearing test results through graphics, that is, the audiogram. To understand the audiogram requires relevant professional knowledge. However, many clinicians may not know how to consult and interpret it. Graphical information is converted into test results written on the hearing report. Generally, audiogram data is not saved on the computer, which eventually leads to waste of inspection data and affects future diagnostic analysis. As for the subjec...

AI Technical Summary

Problems solved by technology

At present, the hearing devices on the market display the hearing test results through graphics, that is, the audiogram. To understand the audiogram requires relevant professional knowledge. However, many clinicians may not know how to consult and interpret it. Graphical information is converted into test results written on the hearing report

Generally, the audiogram does not save the data on the computer, which eventually leads to waste of inspection data and affects future diagnostic analysis.

As for the subjects, because of their lack of knowledge, they do not know how to read the test results. However, due to the busy work of doctors and operators, it is difficult to explain the images to the subjects in detail, which may hinder the subjects from understanding the results. In-depth understanding of one's own situation, in case a hidden hearing problem occurs and is not discovered, there will be a lack of vigilance and protection awareness, and eventually the hearing problem will aggravate, and the consequences will be disastrous

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