Auditory Therapy Frequency Spectrum Analysis Apparatus
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Solution Overview
Problem
Current methods for treating hearing loss and tinnitus are inefficient, as they take a long time to determine the correct frequency band for acoustic stimulus signals, and hearing aids only amplify sounds without addressing the underlying issue, potentially further degrading hearing.
Innovation Solution
An auditory therapy frequency spectrum analysis apparatus and method that uses a processor and memory to calculate hearing threshold representative values for divided frequency bands, determine user groups, and generate high-resolution modulated acoustic signals for targeted treatment by averaging hearing thresholds across frequency bands and adjusting stimulus signals based on calculated differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to determine frequency bands for acoustic stimulus signals, then measurement precision can be maintained, but the time required for treatment determination becomes excessively long
Solution Approach 1:
The audible frequency band is divided into multiple frequency bands with 1/k octave resolution. By segmenting the frequency spectrum into discrete bands, the system can efficiently process and analyze each band separately, reducing the overall time required while maintaining precision through the systematic evaluation of each segment.
Solution Approach 2:
The system pre-divides the frequency spectrum into standardized bands and establishes criteria for hearing threshold evaluation before actual treatment determination. This preliminary structuring allows for rapid assessment during treatment determination, avoiding time-consuming on-the-fly calculations while ensuring accurate frequency band identification.
2Illumination intensity
If hearing aids are used to amplify external sounds, then sound volume is increased, but hearing degradation is exacerbated without fundamental treatment
Solution Approach 1:
The system converts the harmful effect of amplified sounds (which degrade hearing) into a beneficial therapeutic intervention. By providing acoustic stimulus signals with controlled frequencies and modulation, the system treats the underlying hearing loss and tinnitus rather than simply amplifying external sounds, transforming the potential harm into healing.
Solution Approach 2:
The acoustic stimulus signals are designed to self-regulate and adapt to the user's hearing profile. The system automatically determines the appropriate frequency bands and modulation parameters based on the user's hearing thresholds, allowing the treatment to self-adjust without manual intervention while improving hearing health.
3Measurement precision
If high-resolution frequency band tracking is performed, then treatment accuracy is improved, but the processing time increases significantly
Solution Approach 1:
The frequency spectrum is segmented into standardized 1/k octave bands, which allows for efficient high-resolution tracking. By using predefined segment boundaries and standardized width, the system can rapidly evaluate each band without performing complex real-time calculations, maintaining both accuracy and processing speed.
Solution Approach 2:
The system changes the parameter of frequency resolution to 1/k octave bands, where k is an integer. This parameter transformation allows for flexible adjustment between resolution and processing speed. By selecting appropriate k values, the system can optimize the balance between tracking accuracy and processing time for different treatment scenarios.
Data Source
AI summary
An apparatus for auditory therapy frequency spectrum analysis includes: a processor and a memory connected to the processor, wherein the memory stores program instructions executable by the processor to receive a hearing threshold of a user for each of n frequency bands in which an audible frequency band is divided with 1/k octave resolution, calculate n hearing threshold representative values for each of the n frequency bands according to a preset criterion, determine a group to which the user belongs by using the calculated n hearing threshold representative values, and determine acoustic stimulus signals of frequency bands sequentially required for the user to be treated based on the determined group.