Hearing aid parameter customization and fitting method based on audiogram features

Abstract

The application relates to the technical field of hearing aids, in particular to a hearing aid parameter customization debugging method based on audiogram features, which comprises the following steps: deeply analyzing key features in an audiogram, such as air conduction threshold, bone conduction threshold and uncomfortable threshold, and combining a NAL-NL2 formula to accurately calculate target gain, and performing individualized parameter debugging according to different hearing loss types and environments. The gain compensation error can be controlled within 3 dB, the single-time debugging success rate is improved, the hearing aid fitting accuracy and user experience are effectively improved, and the method is suitable for various complex hearing loss scenes.

Description

Technical Field

[0001] This invention relates to the field of hearing aid technology, specifically to a method for customizing and adjusting hearing aid parameters based on audiogram features. Background Technology

[0002] In the field of hearing aids, traditional adjustment methods have many drawbacks. On the one hand, they rely on general formulas (such as NAL-NL2, DSL[i / o]) and the experience of audiologists, failing to fully explore the rich features of the audiogram. For example, when faced with a steeply sloping audiogram, traditional methods struggle to accurately compensate for high-frequency hearing loss, often resulting in over- or under-compensation, leading to poor sound quality and affecting the user's speech comprehension. Currently, gain calculations are based solely on hearing thresholds, ignoring crucial factors such as the type of hearing loss and dynamic range, resulting in a low degree of matching between the adjustment results and the patient's actual needs.

[0003] On the other hand, the dynamic range processing is not precise enough. The discomfort threshold (UCL) has not received sufficient attention in traditional fitting, which may cause the loudness of the sound output by the hearing aid to exceed the patient's comfort range, causing discomfort. According to a study published in the Journal of Audiology and Speech Pathology, Volume 28, Issue 3, 2020, loudness discomfort caused by poor dynamic range fit is quite common.

[0004] Furthermore, in complex environments, such as noisy environments, traditional tuning lacks automated parameter optimization schemes. Although the international standard ISO 11904-2:2010 specifies the basic testing procedures, it cannot meet the needs of adaptive adjustment of hearing aid parameters in different environments. Relying on manual intervention to adjust parameters is not only inefficient, but also difficult to achieve the desired results.

[0005] According to statistics from the World Health Organization (WHO), approximately 5% of the global population is affected by hearing loss; however, due to limitations of traditional fitting methods, hearing aid satisfaction is only 65%. Therefore, developing a precise, personalized hearing aid fitting method that is adaptable to various environments is urgently needed. Summary of the Invention

[0006] This invention aims to provide a highly personalized method for customizing and adjusting hearing aid parameters. By utilizing the comprehensive features of audiograms, it improves the fitting accuracy of hearing aids, optimizes the user's hearing experience in different environments, and enhances the practicality and comfort of hearing aids.

[0007] The technical solution adopted by this invention to solve its technical problem is: a method for customizing and adjusting hearing aid parameters based on audiogram features, comprising the following steps: S1: Extract air conduction threshold, bone conduction threshold, and discomfort threshold from the audiogram, calculate the degree of hearing loss, and identify the type of hearing loss and frequency response pattern; S2: Calculate the target gain according to the NAL-NL2 formula, and allocate the frequency band gain according to low frequency (125-500Hz), mid frequency (500-2000Hz), and high frequency (2000-8000Hz); S3: Set the compression ratio based on the discomfort threshold, and adjust the maximum output to 85% of the discomfort threshold; S4: For steeply sloping audiograms, reduce high-frequency gain by 3-5dB and enable frequency shifting technology; for conductive hearing loss, increase low-frequency gain by 5-8dB and adjust the vent diameter. S5: Enables directional microphones and multi-channel noise reduction algorithms in noisy environments; extends high-frequency response to 10kHz and enhances dynamic range in music scenes; S6: Verify the ear canal output effect through in-situ audiometry or real ear analysis, and optimize parameters based on the verification results and patient feedback.

[0008] Specifically, in step S1, the types of hearing loss are identified as conductive, sensorineural, and mixed.

[0009] Specifically, in step S4, the frequency shift cutoff frequency of the high-frequency steep-drop type audiogram is 6000Hz.

[0010] Specifically, in step S5, the diameter of the vent hole is adjusted within the range of 1.5-3mm.

[0011] Specifically, in step S5, the directional microphone is cardioid or supercardioid.

[0012] Specifically, in step S5, the multi-channel noise reduction algorithm employs spectral subtraction based on subband energy or the minimum statistics method.

[0013] Specifically, it also includes step S7: establishing an audiogram-parameter mapping database to store debugging parameters corresponding to different audiogram features, providing a reference for subsequent debugging.

[0014] Specifically, in step S5, during dynamic range optimization, if the patient's hearing loss level (HL) and discomfort threshold (UCL) satisfy a specific relationship, a linear amplification mode is adopted with a compression ratio of 1:1.

[0015] Specifically, in step S2, when calculating the target gain in the basic parameter settings, the NAL-NL2 formula is modified by taking into account factors such as the patient's age and the duration of hearing loss.

[0016] Specifically, the target gain is calculated based on the NAL-NL2 formula: .

[0017] Specifically, set the compression ratio: .

[0018] The beneficial effects of this invention are: 1. Significantly Improved Personalized Fit Accuracy: Through in-depth analysis of multi-dimensional audiogram features, such as precise extraction of air conduction, bone conduction thresholds, and discomfort thresholds, gain compensation is made more closely aligned with the individual patient's hearing condition. Gain compensation error can be reduced from ±10dB to ±3dB, effectively improving sound clarity and comfort.

[0019] 2. Significantly reduces the number of tuning iterations: By combining in-situ audiometry or real-ear analysis technology, the output effect in the ear canal can be verified in real time, and the rationality of parameter adjustments can be accurately evaluated. The success rate of single-test tuning is improved compared to traditional methods, saving tuning time and labor costs, and improving tuning efficiency.

[0020] 3. Enhanced adaptability to complex environments: Targeted technologies are used for different environmental types, such as noisy environments and music scenes. For example, directional microphones and multi-channel noise reduction algorithms are used in noisy environments, and high-frequency response is extended in music scenes. These measures significantly improve the performance of hearing aids in complex environments and enhance the user experience in different scenarios. Attached Figure Description

[0021] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0022] Figure 1 The flowchart shows the hearing aid parameter customization and adjustment method based on audiogram features provided by the present invention. Detailed Implementation

[0023] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0024] like Figure 1 As shown, the present invention provides the following technical solution: Example 1: High-frequency steep-drop type audiogram adjustment Patient's condition: The patient's audiogram showed a typical high-frequency steep drop, with hearing loss exceeding 70 dBHL above 2000 Hz and an discomfort threshold (UCL) of 95 dBSPL.

[0025] Debugging process: First, based on the NAL-NL2 formula ( Calculate the base gain for each frequency. Then, for the high-frequency range, reduce the gain by 4dB in the 4000-8000Hz range and enable frequency shifting, setting the frequency shift cutoff frequency to 6000Hz. For compression settings, set the compression ratio to 3:1 and the maximum output (MPO) to 80 dBSPL.

[0026] Effect evaluation: Real-ear analysis revealed a 5dB reduction in ear canal output at 6000Hz, consistent with the expected adjustment. Patients reported a significant improvement in comfort, with a 40% increase compared to before the adjustment. High-frequency harshness was significantly reduced, and the perception of high-frequency sounds became more natural in daily conversations.

[0027] Example 2: Adjustment of Conductive Hearing Loss Patient's condition: Tests showed that the patient's average air conduction loss was 50 dBHL (125-2000 Hz), while bone conduction was normal, classifying it as conductive hearing loss.

[0028] Debugging process: During debugging, the focus was on low-frequency compensation, increasing the low-frequency gain by 6dB, and adjusting the vent diameter to 3mm. To optimize the low-frequency effect, low-frequency compression was enabled, with the inflection point set to 50dBSPL and the compression ratio to 2:1.

[0029] Effectiveness evaluation: By measuring the occlusion effect index, it was found that the occlusion effect decreased from 15dB before the adjustment to 8dB, effectively alleviating the occlusion phenomenon. Patients reported a significant improvement in the clarity of low-frequency sounds, and were able to perceive low-frequency sounds more clearly in daily conversations and when listening to environmental sounds, resulting in an overall improvement in hearing experience.

[0030] Example 3: Adaptation and Debugging in Complex Environments Patient's condition: In a noisy environment with a signal-to-noise ratio of 5dB, the patient's speech recognition rate is less than 50%, which seriously affects daily social interactions and life.

[0031] Adjustment process: To address this issue, firstly, the hearing aid's directional microphone was activated and set to a cardioid pattern to focus on the target sound and reduce ambient noise interference. Next, an 8-channel multi-channel noise reduction algorithm was enabled, employing a minimum statistics method for noise reduction processing. Simultaneously, the wireless microphone mode was set, increasing the gain by 8dB.

[0032] Effectiveness evaluation: In a noisy restaurant setting, the patient's speech recognition rate improved from less than 50% to 75%. The patient reported that in this complex environment, they could hear others speaking more clearly, communication became easier, and the practicality of the hearing aid in complex environments was significantly improved.

[0033] Example 4: Dynamic Range Optimization and Debugging Patient's condition: At 1000Hz, the patient's discomfort threshold (UCL) is 100 dBSPL and the degree of hearing loss (HL) is 60 dBHL.

[0034] Debugging process: Calculate the compression ratio according to the dynamic range optimization principle. Since (100-60) / (85-45) = 1:1, adopt the linear amplification mode and set the maximum output to 85 dBSPL.

[0035] Effectiveness Assessment: After adjustment, the incidence of subjective loudness discomfort reported by patients dropped significantly from 70% before adjustment to 15%. In daily use, patients felt that the loudness of the sound was more comfortable and did not experience any obvious discomfort, and the dynamic range of the hearing aid was effectively optimized.

[0036] Example 5: Comprehensive Hearing Problem Adjustment Patient's condition: The patient's audiogram shows characteristics of both high-frequency steep-drop hearing loss and conductive hearing loss, indicating a relatively complex hearing condition. Standard hearing aids are ineffective and cannot meet daily needs.

[0037] The tuning process is as follows: First, a comprehensive hearing test is performed on the patient to obtain detailed audiogram data. Based on the audiogram, the target gain curve is calculated using the NAL-NL2 formula. For the steep high-frequency drop, the high-frequency gain is reduced, and frequency shifting technology is used to improve sound perception. For conductive hearing loss, low-frequency compensation is enhanced. Regarding dynamic range and compression adjustment, the compression ratio, inflection point, and maximum output are precisely set. Simultaneously, environmental adaptation tuning is performed, adjusting the program settings according to different environments.

[0038] Effectiveness Assessment: After multiple rounds of adjustments and optimization based on patient feedback, the patient's hearing has significantly improved in various environments. Whether it's daily conversations in quiet environments or social activities in noisy environments, sounds can be heard more clearly, greatly enhancing the effectiveness of the hearing aid.

[0039] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of protection claimed by the present invention. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for customizing and adjusting hearing aid parameters based on audiogram features, characterized in that, Includes the following steps: S1: Extract air conduction threshold, bone conduction threshold, and discomfort threshold from the audiogram, calculate the degree of hearing loss, and identify the type of hearing loss and frequency response pattern; S2: Calculate the target gain according to the NAL-NL2 formula, and allocate the frequency band gain according to the low frequency 125-500Hz, the mid frequency 500-2000Hz, and the high frequency 2000-8000Hz. S3: Set the compression ratio based on the discomfort threshold, and adjust the maximum output to 85% of the discomfort threshold; S4: For steeply sloping audiograms, reduce high-frequency gain by 3-5dB and enable frequency shifting technology; for conductive hearing loss, increase low-frequency gain by 5-8dB and adjust the vent diameter. S5: Enables directional microphones and multi-channel noise reduction algorithms in noisy environments; extends high-frequency response to 10kHz and enhances dynamic range in music scenes; S6: Verify the ear canal output effect through in-situ audiometry or real ear analysis, and optimize parameters based on the verification results and patient feedback.

2. The hearing aid parameter customization and adjustment method based on audiogram features according to claim 1, characterized in that: In step S1, the types of hearing loss are identified, including conductive, sensorineural, and mixed hearing loss.

3. The method for customizing and adjusting hearing aid parameters based on audiogram features according to claim 1, characterized in that: In step S4, the frequency shift cutoff frequency of the high-frequency steep-drop type audiogram is 6000Hz.

4. The hearing aid parameter customization and adjustment method based on audiogram features according to claim 1, characterized in that: In step S5, the diameter of the vent hole is adjusted within the range of 1.5-3mm.

5. The method for customizing and adjusting hearing aid parameters based on audiogram features according to claim 1, characterized in that: In step S5, the directional microphone is cardioid or supercardioid.

6. The method for customizing and adjusting hearing aid parameters based on audiogram features according to claim 1, characterized in that: In step S5, the multi-channel noise reduction algorithm employs either spectral subtraction based on subband energy or the minimum statistics method.

7. The method for customizing and adjusting hearing aid parameters based on audiogram features according to claim 1, characterized in that: It also includes step S7: establishing an audiogram-parameter mapping database to store debugging parameters corresponding to different audiogram features, providing a reference for subsequent debugging.

8. The method for customizing and adjusting hearing aid parameters based on audiogram features according to claim 1, characterized in that: In step S5, during dynamic range optimization, if the patient's hearing loss level and discomfort threshold satisfy a specific relationship, a linear amplification mode is adopted with a compression ratio of 1:

1.

9. The method for customizing and adjusting hearing aid parameters based on audiogram features according to claim 1, characterized in that: In step S2, when calculating the target gain in the basic parameter settings, the NAL-NL2 formula is modified by taking into account factors such as the patient's age and the duration of hearing loss.

Images