Heart Sound Detection Using Multi-Axis Accelerometer Signals
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional cardiac rhythm management devices rely on electrical signals for heart sound detection, which increases complexity, cost, and power consumption, and are susceptible to signal noise and errors.
Innovation Solution
A system that uses multiple heart sound signals from different axes to produce a composite heart sound signal without relying on electrical signals, applying coefficients to reduce signal-to-noise ratio and improve processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional CRM devices use electrical signals for heart sound detection, then detection capability is achieved, but device complexity, cost, and power consumption increase
Solution Approach 1:
The patent replaces electrical signal-based heart sound detection with a mechanical vibration detection system using accelerometers. The accelerometer senses mechanical vibrations of the heart directly through contact with the heart surface, converting mechanical energy to electrical signals for processing. This substitution eliminates the need for complex electrical signal conditioning circuits while maintaining detection capability, thereby reducing device complexity and power consumption.
2Reliability
If traditional CRM devices use electrical signals for heart sound detection, then detection capability is achieved, but power consumption increases
Solution Approach 1:
The patent replaces electrical signal-based heart sound detection with a mechanical vibration detection system using accelerometers. The accelerometer senses mechanical vibrations of the heart directly through contact with the heart surface, converting mechanical energy to electrical signals for processing. This substitution eliminates the need for complex electrical signal conditioning circuits while maintaining detection capability, thereby reducing device complexity and power consumption.
3Reliability
If electrical signals are used for heart sound detection, then detection is achieved, but susceptibility to signal noise and electromagnetic interference increases
Solution Approach 1:
The patent replaces electrical signal-based heart sound detection with a mechanical vibration detection system using accelerometers. The accelerometer senses mechanical vibrations of the heart directly through contact with the heart surface, converting mechanical energy to electrical signals for processing. This substitution eliminates the need for complex electrical signal conditioning circuits while maintaining detection capability, thereby reducing device complexity and power consumption.
Solution Approach 2:
The patent introduces an accelerometer as an intermediary device between the heart and the detection system. The accelerometer acts as a mechanical transducer that converts mechanical heart vibrations into electrical signals, serving as a mediator that isolates the detection system from direct electrical interference while accurately capturing heart sound information through mechanical means.
4Productivity
If multiple heart sound signals from different axes are combined, then processing efficiency improves, but signal-to-noise ratio decreases
Solution Approach 1:
The patent combines multiple heart sound signals from different accelerometer axes (x, y, z) to create a composite heart sound signal. By merging the signals from multiple measurement angles and orientations, the system captures comprehensive heart vibration information while the signal processing algorithms maintain the signal-to-noise ratio through coherent integration of the multi-axis data, thereby improving processing efficiency without sacrificing detection reliability.
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
This approach reduces the need for amplification and filtering, decreases power consumption, and enhances battery life while providing accurate heart sound detection with lower susceptibility to electromagnetic interference.
Implementation Method 1
the first signal can include heart sound information from a first axis of an accelerometer, and the second signal can include heart sound information from a second axis of the accelerometer
Data Source
Figure 1A~1B
Figure 2
Figure 3
AI summary
This document discusses, among other things, systems and methods to produce a composite heart sound signal of a patient using a first signal including heart sound information over a first physiologic interval and a second signal including heart sound information over the first physiologic interval.