Heart Sound Syncope Detection Mode Transition
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Solution Overview
Problem
Medical devices face challenges in detecting syncope events early enough to capture valuable physiologic information, as traditional methods rely on heart rate and blood pressure, which often result in lost data due to low-power monitoring modes that prioritize battery life over resolution and sampling frequency.
Innovation Solution
The use of heart sound information to detect syncope events, allowing medical devices to transition from a low-power to a high-power mode for enhanced sampling and storage, enabling earlier detection and capturing of relevant physiologic data leading up to and during a syncope event.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If medical devices operate in low-power mode to extend battery life, then energy consumption is reduced, but detection precision and sampling frequency deteriorate
Solution Approach 1:
The medical device dynamically transitions between low-power mode and high-power mode based on detected syncope indicators. The device operates in low-power mode during normal conditions to conserve energy, then switches to high-power mode with enhanced sampling frequency and resolution when heart sound analysis detects potential syncope events, resolving the contradiction between energy conservation and detection precision
Solution Approach 2:
The device changes operational parameters (sampling frequency, power consumption level) based on the detected state. During normal operation, parameters are set for low power consumption; when syncope risk is detected through heart sound analysis, parameters are adjusted to high-power mode with increased sampling frequency and resolution to capture critical physiologic information
2Device complexity
If medical devices use traditional heart rate and blood pressure monitoring to detect syncope, then detection methods are simple, but detection timing is delayed and valuable physiologic information is lost
Solution Approach 1:
The device performs preliminary detection using heart sound analysis to identify early indicators of syncope before the event fully develops. By analyzing changes in heart sound patterns (such as decreases in S2 intensity or changes in S1-S2 intervals), the device can trigger high-power mode and capture additional physiologic information in advance, preventing loss of critical data while maintaining simple overall system architecture
Data Source
AI summary
Systems and methods are disclosed to detect a potential syncope event using cardiac acceleration information of a patient and to transition a medical device from a first low-power mode to a second high-power mode in response to the detected potential syncope event.