Heart Sound Detection Using Activity Transition Segmentation
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Solution Overview
Problem
Patients with congestive heart failure (CHF) face challenges in monitoring their heart function post-physical activity due to impaired cardiovascular recovery, which can lead to delayed heart sound detection and inaccurate heart failure status indications, especially when mechanical sensors used for activity monitoring interfere with heart sound detection.
Innovation Solution
A system that includes a sensor interface circuit and a signal processing circuit to detect physical activity level transitions and classify heart sound characteristics, providing a surrogate for heart sound parameters and improving heart failure status monitoring by distinguishing heart sounds associated with pre-transition activity levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a mechanical sensor is used to monitor both physical activity and heart sounds, then activity monitoring capability is improved, but heart sound detection accuracy deteriorates due to mechanical acceleration masking heart sounds
Solution Approach 1:
The patent segments the sensor data processing by creating separate analysis pathways: one for activity detection and one for heart sound detection. The processor identifies activity intervals separately from heart sound intervals, allowing each type of data to be analyzed with appropriate parameters and thresholds, thereby resolving the interference between the two functions
Solution Approach 2:
The patent applies preliminary action by detecting physical activity levels before attempting to detect heart sounds. The system first determines if the subject is engaged in physical activity, then selectively processes heart sound data only during periods when activity is minimal, preventing acceleration artifacts from corrupting the heart sound signal
2Duration of action of stationary object
If heart sounds are monitored during physical activity, then continuous monitoring capability is improved, but detection reliability deteriorates due to activity interference
Solution Approach 1:
The patent implements periodic action by continuously monitoring activity levels and periodically attempting heart sound detection only during low-activity intervals. The system cycles through activity detection, identifies suitable detection windows, performs heart sound analysis during those windows, and repeats the process, ensuring reliable detection without requiring constant monitoring
3Loss of information
If heart sound parameters are logged at multiple activity levels, then diagnostic information quality is improved, but data accuracy deteriorates when activity masks heart sounds
Solution Approach 1:
The patent applies local quality by making the data logging strategy adaptive to local conditions (activity levels). Rather than uniformly logging at all times, the system selectively logs heart sound parameters only during low-activity intervals where detection reliability is high, while still providing comprehensive diagnostic coverage across multiple activity levels by capturing data during appropriate windows
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 ability to monitor heart failure status by accurately determining heart sound characteristics post-activity, reducing interference from physical activity and providing timely indications for heart failure, potentially replacing the need for dobutamine stress tests.
Implementation Method 1
a sensor configured to sense both physical activity of a subject and an acoustic physiologic heart sound of the subject
Implementation Method 2
an acoustic physiologic heart sound of the subject
Data Source
AI summary
An apparatus, such as a cardiac function management system can detect heart sounds following a sensed transition in physical activity level, such as from an elevated physical activity level to rest. A technique can include systems, methods, machine-readable media, or other techniques that can include identifying a physical activity level transition, receiving a heart sound signal, determining characteristics of the heart sound and subject physiologic activity to provide an indication, such as a heart failure status indication.


