Otoacoustic emission signal detection method, device, electronic device and storage medium

By adopting exponential frequency sweeping and multi-stage signal processing technology in the detection of otoacoustic transmission signal, the problems of long and low efficiency of high-frequency resolution detection in the prior art are solved, and fast and efficient otoacoustic transmission signal detection is achieved.

CN118555528BActive Publication Date: 2025-04-22WUXI QINGER VOICE TECH CO LTD +3
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Patent Information

Application Number
CN202410596608.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-05-14
Publication Date
2025-04-22
Estimated Expiration
2044-05-14

AI Technical Summary

Technical Problem

The existing acoustic signal detection methods take longer and have low detection efficiency at high frequency resolution.

Method used

The exponential frequency sweep technology is used to obtain the acoustic transmission signals at multiple frequencies in a single frequency sweep test, and the signal processing is performed through the online whole-segment signal artifact removal algorithm and the offline segmented signal artifact removal algorithm, including artifact removal, filtering tracking and dual-tone suppression superposition, and finally the high-frequency resolution ear-segment transmission signals are obtained through FFT operations.

Benefits of technology

It realizes rapid detection of ear acoustic emission signals at high frequency resolution, reducing detection time and improving detection efficiency.

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Abstract

The present invention relates to an otoacoustic emission signal detection method, device, electronic device and storage medium. The method comprises: obtaining otoacoustic emission signals at multiple frequencies in a single frequency sweep test by exponential frequency sweep. An online whole-segment signal artifact removal algorithm is called to perform artifact removal on the distortion product otoacoustic emission signal and the stimulation frequency otoacoustic emission signal respectively, and the distortion product otoacoustic emission signal and the stimulation frequency otoacoustic emission signal after artifact removal are respectively subjected to filtering tracking and two-tone suppression superposition to obtain a re-collected signal. An offline segmented signal artifact removal algorithm is called to perform artifact removal on the re-collected signal, and the re-collected signal processed by the offline segmented signal artifact removal algorithm is subjected to segmented signal stacking averaging operation and filtering tracking to extract the re-collected signal of the stimulation frequency otoacoustic emission signal. The re-collected signal is processed by FFT operation to obtain an amplitude signal and a phase signal corresponding to the otoacoustic emission signal with high frequency resolution.
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