Hearing screening and tinnitus assessment method based on multi-frequency cross-over analysis
The hearing screening and tinnitus assessment method based on multi-frequency cross-analysis solves the problem of insufficient accuracy in tinnitus assessment in existing technologies, and achieves accurate identification of tinnitus frequency characteristics and hearing abnormalities, improving screening efficiency and diagnostic accuracy, especially the ability to identify hidden tinnitus.
Patent Information
- Application Number
- CN202610472057.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-10
- Publication Date
- 2026-05-26
AI Technical Summary
Existing technologies struggle to accurately assess the frequency characteristics, masking properties, and potential associations of tinnitus with multi-band hearing abnormalities, especially in children, the elderly, and patients with hidden tinnitus and normal hearing thresholds. Conventional single-frequency pure-tone testing methods are easily affected by subjective cooperation, resulting in low screening efficiency and poor diagnostic accuracy.
A hearing screening and tinnitus assessment method based on multi-frequency cross-analysis is adopted. By obtaining the initial auditory response values under multiple frequency bands, constructing the initial hearing vector in the frequency domain, calculating the relative deviation coefficient, extracting abnormal frequency bands, performing multi-intensity incremental sound stimulation, recording neural response parameters, performing cross-spectral analysis, constructing an individualized tinnitus resonance feature map, and calculating the tinnitus risk index by combining subjective tinnitus level scores, the entire process of information collection and modeling is realized.
It significantly improves the accuracy and objectivity of tinnitus dominant frequency identification and assessment, and is suitable for screening occult tinnitus. The constructed tinnitus risk index TRI model comprehensively considers the degree of subjective perception and the intensity of physiological response, and is suitable for high-throughput primary screening and personalized diagnosis and treatment recommendations, with high sensitivity and adaptability.