Heart Lung Sound Acoustic Signal Processing for Non-Invasive Cardiovascular Monitoring
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Solution Overview
Problem
Current methods for acquiring heart and lung sounds often result in noisy or low-quality signals, making it difficult to accurately diagnose cardiovascular and lung conditions, especially since invasive methods are challenging during surgeries and indirect methods lack precision.
Innovation Solution
A non-invasive method using heart and lung sound acquisition devices to process real-time heart and lung sound data, extract relevant features, and calculate cardiovascular and lung information data, including systemic vascular resistance, stroke volume, and lung water amount, by deriving correlations with invasive measurement data and creating scale factors for accurate analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive methods are used to acquire cardiovascular and lung information, then measurement precision is improved, but ease of operation deteriorates during surgery
Solution Approach 1:
The patent replaces invasive mechanical measurement systems with an acoustic field-based measurement system. Heart and lung sounds are captured using acoustic sensors (microphones) positioned on the patient's body surface, converting acoustic energy to electrical signals for analysis. This substitution eliminates the need for invasive procedures while maintaining measurement capability through signal processing and feature extraction from the acoustic signals.
2Ease of operation
If indirect acquisition methods are used, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The system employs feedback mechanisms through signal processing and analysis. The acquired heart and lung sounds are processed to extract features that correlate with cardiovascular and lung parameters. By establishing relationships between acoustic signal characteristics and physiological parameters, the system provides feedback-based estimation of measurement values without direct invasive measurement, thereby improving precision while maintaining non-invasive operation.
Solution Approach 2:
The patent transforms the measurement parameters from direct physical quantities (requiring invasive access) to acoustic signal parameters that can be measured non-invasively. By analyzing frequency, amplitude, and temporal characteristics of heart and lung sounds, the system derives cardiovascular and lung information through parameter transformation and correlation analysis, achieving both ease of operation and improved measurement precision.
3Ease of operation
If heart and lung sounds contain noise or have poor signal quality, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The system extracts useful information from noisy heart and lung sound signals by isolating specific features and characteristics. Through signal processing techniques, the system separates relevant acoustic features from background noise and interference, extracting diagnostic information that maintains measurement precision despite the presence of noise in the raw signals.
Solution Approach 2:
The patent applies preliminary signal processing and filtering actions to the acquired heart and lung sounds before analysis. By preprocessing the signals to enhance quality and remove obvious noise components, the system prepares the data for more accurate feature extraction and parameter estimation, thereby maintaining measurement precision while preserving the simplicity of non-invasive acquisition.
Data Source
AI summary
An information acquisition method using heart and lung sounds is provided. The information acquisition method includes acquiring, by a computer, heart sound measurement data of a specific patient in real time, acquiring, by the computer, at least one processed heart sound measurement data using the heart sound measurement data in real time, extracting, by the computer, a scale factor between the processed heart sound measurement data and a cardiovascular data value, and calculating and providing, by the computer, a calculated value of specific cardiovascular information data based on the processed heart sound measurement data and the scale factor, wherein the cardiovascular information data has the same variation tendency as a variation tendency of specific processed heart sound measurement data.