Heart Sound Analysis Using Four-Phase Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional heart disease diagnostic devices face challenges in accurately detecting abnormalities by analyzing heart sound data, as they divide heart sound data into systolic and diastolic phases for power spectrum calculation, which can lead to inaccurate detection of heart abnormalities.
Innovation Solution
An auscultation device that acquires heart sound data from a stethoscope and analyzes waveforms including first, second, third, and fourth sounds within one heartbeat, using signal strength, duration, and waveform characteristics to determine abnormalities by comparing to past or normal healthy person data, enhancing detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If heart sound data is divided into systolic and diastolic phases for power spectrum calculation, then the analysis process is simplified, but the detection accuracy of heart abnormalities decreases
Solution Approach 1:
The invention segments the heart sound waveform into four distinct phases (first sound, second sound, third sound, fourth sound) corresponding to specific valve closure events. This segmentation allows analysis of each phase's characteristics independently while maintaining the complete heartbeat context, resolving the contradiction by providing detailed phase-specific analysis without oversimplifying the overall process.
Solution Approach 2:
The invention transitions from traditional time-domain power spectrum analysis to a multi-dimensional analysis framework that incorporates waveform morphology, phase timing, and amplitude characteristics across four distinct sound phases. This dimensional expansion enables detection of subtle abnormalities that would be lost in simplified two-phase division.
2Ease of manufacture
If traditional power spectrum analysis is used, then the calculation is straightforward, but abnormalities cannot be detected with high accuracy
Solution Approach 1:
The invention performs preliminary identification and segmentation of the four heart sound phases before conducting the analysis. By pre-characterizing each sound phase's temporal and amplitude properties, the system prepares structured data that simplifies subsequent abnormality detection while maintaining high precision through comprehensive phase-specific examination.
3Device complexity
If only first and second sounds are analyzed, then the analysis is simpler, but detection accuracy is reduced
Solution Approach 1:
The invention creates a universal analysis framework that accommodates all four heart sound phases (first, second, third, and fourth sounds) within a single integrated processing system. This multi-functional approach allows comprehensive analysis of any sound phase combination while maintaining consistent methodology, improving detection accuracy without proportionally increasing complexity.
Data Source
AI summary
A PC (20) comprises a communication unit (21) and a calculation and determination unit (28). The communication unit (21) acquires heart sound data from a stethoscope (10). The calculation and determination unit (28) analyzes the waveform including a sound I, a sound II, a sound III, and a sound IV included in one heartbeat of the heart sound acquired by the communication unit (21). The calculation and determination unit (28) determines whether there is any abnormality in the heart sound on the basis of the analysis result for the waveform including the analyzed sound I, sound II, sound III, and sound IV.