Snoring Detection via Audio Time Ratio Analysis
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Solution Overview
Problem
Conventional sleep evaluation devices require high-performance information processing to analyze frequency blocks of respiratory sounds for snoring detection, leading to increased costs.
Innovation Solution
A sleep evaluation device that determines snoring levels based on the ratio of cumulative audio time to the number of audio occurrences in predetermined periods, without requiring advanced processing, and detects body movement to display snoring levels over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency block analysis of respiratory sounds is performed for snoring detection, then measurement precision is improved, but device complexity increases and cost increases
Solution Approach 1:
The patent extracts only the essential feature for snoring detection - the presence and duration of respiratory sounds - rather than performing comprehensive frequency block analysis. By taking out only the necessary temporal information (cumulative time and occurrence count) and discarding complex spectral analysis, the system achieves snoring detection with simplified processing that reduces device complexity while maintaining adequate measurement precision.
2Measurement precision
If frequency block analysis of respiratory sounds is performed for snoring detection, then measurement precision is improved, but manufacturing cost increases
Solution Approach 1:
The patent employs a simple processing approach that can be implemented with low-cost, basic information processing components rather than high-performance devices. By using only temporal analysis (cumulative time and occurrence count) instead of complex frequency analysis, the system can be manufactured with inexpensive processors, making the device more affordable while still providing effective snoring detection functionality.
3Device complexity
If cumulative time and occurrence count are used to determine snoring level, then device complexity is reduced, but measurement precision may be compromised
Solution Approach 1:
The patent changes the parameters used for snoring assessment from complex frequency-domain features to simple temporal parameters (cumulative time and occurrence count). By transforming the measurement approach from spectral analysis to temporal accumulation, the system achieves simpler processing that can be implemented with basic components while maintaining clinically relevant measurement precision for snoring level determination.
Data Source
AI summary
A sleep evaluation device includes an obtainment unit configured to obtain audio and a determination unit configured to determine a snoring level in the audio obtained by the obtainment unit based on an amount of time for which the audio occurred. The determination unit is configured to determine a snoring level based on a ratio of a cumulative time in which the obtainment unit obtains the audio to a number of times the audio is obtained by the obtainment unit.