Trunk Acoustic Pulse Wave Monitoring for Apical Beat Extraction
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Solution Overview
Problem
Existing health monitoring systems struggle to accurately capture and analyze the apical beat component of trunk acoustic pulse waves for comprehensive cardiocirculatory function assessment, limiting their effectiveness in estimating health conditions beyond drowsy driving detection.
Innovation Solution
A health monitoring device that extracts the apical beat component from trunk acoustic pulse waves using a left ventricular pressure waveform indicator, correlating it with vibration frequency and diastolic time intervals to estimate health conditions, and incorporates a biosignal measuring device with a three-dimensional knitted fabric and microphone sensor to amplify specific frequency components through stochastic resonance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional sensing systems are used to capture trunk acoustic pulse waves, then the measurement is easy and stress-free, but the accuracy of capturing apical beat component is insufficient
Solution Approach 1:
The patent employs a resonance layer with natural oscillators tuned to the frequency range of trunk acoustic pulse waves (0.5-20 Hz). This mechanical vibration approach amplifies the apical beat component through resonance, significantly improving measurement precision without requiring complex electronic processing systems
Solution Approach 2:
The patent changes the physical parameters of the sensing system by using a resonance layer with specific natural frequency characteristics matching the apical beat frequency range. This parameter tuning allows selective amplification of the target signal while filtering out noise, achieving high precision with a relatively simple device structure
2Loss of information
If frequency analysis of trunk acoustic pulse wave is performed to estimate health condition, then comprehensive cardiocirculatory function information can be obtained, but the analysis complexity increases
Solution Approach 1:
The patent extracts the apical beat component from the complex trunk acoustic pulse wave signal using frequency analysis. By isolating this specific frequency component (0.5-20 Hz range), the system obtains comprehensive cardiocirculatory information while simplifying the overall analysis through focused component extraction rather than processing the entire spectrum
Solution Approach 2:
The resonance layer naturally filters and amplifies the apical beat frequency range before digital processing, reducing the complexity of subsequent computational analysis while preserving comprehensive cardiocirculatory function information in the extracted signal
3Measurement precision
If slide calculation and frequency analysis are performed on trunk acoustic pulse wave, then biological state estimation is achieved, but the processing time and computational load increase
Solution Approach 1:
The resonance layer performs preliminary signal conditioning by amplifying the apical beat component and attenuating noise before the signal reaches the digital processing stage. This pre-processing reduces the computational load required for subsequent slide calculation and frequency analysis, decreasing processing time while maintaining estimation accuracy
Solution Approach 2:
The mechanical resonance system performs analog filtering and amplification of the target frequency range, reducing the complexity and computational time of digital signal processing steps while preserving the accuracy of biological state estimation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy of health condition estimation by capturing and analyzing the apical beat component, enabling more precise health assessments suitable for medical applications, including determining normal, slightly abnormal, or diseased states.
Implementation Method 1
amplify specific frequency components through stochastic resonance
Data Source
AI summary
Provided is a health monitoring device that extracts, in particular, an apical beat component from a trunk acoustic pulse wave and thus is also usable in the medical field. The health monitoring device (1000) of the present invention analyzes a trunk acoustic pulse wave to estimate the health condition of a person using a correlation of an indicator relating to a left ventricular pressure waveform which indicates the behavior of the heart, with a vibration frequency of a frequency component stemming from an apical beat, a diastolic time interval in a cardiac cycle, or blood pressure. The former is input information and the latter is output information of the heart through which blood circulates, and thus comparing these two pieces of information makes it possible to know a health condition relating to the function of the heart more accurately than conventionally.