Implantable Heart Sound Filtering for Accurate EMAT Monitoring
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Solution Overview
Problem
Existing heart sound monitoring techniques struggle to obtain accurate heart sound data for diagnosing heart function, particularly in implantable medical devices, as they rely on conventional methods that are not efficient in capturing key heart sound characteristics.
Innovation Solution
An implantable medical device (IMD) equipped with a heart sound sensor and filtering assembly that utilizes multiple bandwidths to identify specific characteristics of heart sounds, allowing for selective filtering and improved detection of electromechanical activation time (EMAT) through a three-axis accelerometer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional heart sound monitoring techniques are used to monitor heart sound duration, amplitude, and intervals, then the monitoring system is simple to implement, but the accuracy of heart sound data for diagnosing heart function is insufficient
Solution Approach 1:
The patent segments the heart sound signal analysis into multiple distinct parameters including duration, amplitude, intervals between peaks, and electromechanical activation time (EMAT). By dividing the monitoring function into these separable components, the system achieves comprehensive diagnostic accuracy while maintaining manageable system complexity through modular parameter detection
Solution Approach 2:
The patent introduces a new dimension of analysis by incorporating electromechanical activation time (EMAT) measurement alongside traditional heart sound parameters. This additional temporal dimension provides more comprehensive heart function diagnostics without requiring complete system redesign, thereby improving measurement precision while controlling complexity
2Reliability
If heart sounds are used to track proper or improper functioning of the heart for HF diagnostics, then diagnostic capability is improved, but obtaining accurate heart sound data remains difficult
Solution Approach 1:
The patent employs feedback mechanisms by continuously monitoring multiple heart sound parameters and comparing them against established diagnostic criteria. The system uses interval measurements between R-wave peaks and heart sound peaks to provide feedback on ventricular contraction timing, enabling reliable heart failure diagnostics through iterative data validation
Solution Approach 2:
The patent makes the heart sound monitoring system multi-functional by enabling it to detect multiple cardiac parameters (duration, amplitude, intervals, EMAT) from a single sensor system. This universal approach improves diagnostic capability across different heart conditions while maintaining data accuracy through comprehensive parameter collection
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 heart sound data collection, enabling precise monitoring of heart function and electromechanical activation time, even in varying patient postures and device migration, thereby supporting more effective heart failure diagnostics.
Implementation Method 1
Miniaturized accelerometers have been proposed, that utilize microelectromechanical system (MEMS) technology, to detect heart sounds while the accelerometers are implanted within an IMD
Implementation Method 2
a filtering assembly configured to filter the HS signals utilizing first and second bandwidths to output first and second bandwidth HS components
Data Source
Figure 1
Figure 2
Figure 3A
AI summary
An implantable medical device (IMD) (100) that can include a HS sensor (270) configured to sense heart sound (HS) signals along an axis over a first period of time and a filtering assembly (404) configured to filter the HS signals utilizing first and second bandwidths to output first and second bandwidth HS components. The IMD (100) can also include one or more processors (220) that can be configured to identify a first characteristic of interest (COI) of a heartbeat from the first bandwidth HS component and identify a second COI of the heartbeat from the second bandwidth HS component. The one or more processors (220) can also be configured to select one of the first and second bandwidths based on a comparison of the first and second COI, obtain additional HS signals during a second period of time and utilize the one of the first and second bandwidths selected to filter the additional HS signals.