Monitoring Device Placement Validation Using Heart Sound and Rate Data
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Solution Overview
Problem
Existing monitoring devices face challenges in accurately determining their location on a patient's body, particularly when ECG signals are weak or noisy, which can be due to incorrect placement or dysfunctional electrodes, leading to troubleshooting difficulties.
Innovation Solution
The system employs processors to obtain heart rate and heart sound data, utilizing a validation module to generate device states and determine if the monitoring device is correctly positioned within a tolerance range, and if not, adjusts algorithms to compensate for incorrect placement, using heart sound and heart rate data to troubleshoot issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the monitoring device is placed on the patient to obtain heart rate and heart sound data, then the device can perform monitoring function, but the device may be incorrectly placed leading to weak or noisy ECG signals
Solution Approach 1:
The validation module performs preliminary validation of device placement by analyzing the relationship between heart rate data and heart sound data before formal monitoring begins. This preliminary check ensures that the device is correctly positioned on the patient's chest, preventing weak or noisy ECG signals from being generated in the first place.
Solution Approach 2:
The system continuously monitors the correlation between heart rate data from electrodes and heart sound data from microphones. When the correlation falls outside expected ranges, the system generates alerts or error messages indicating potential placement issues, allowing real-time correction of device positioning to maintain signal quality.
2Measurement precision
If the device uses validation module to determine correct placement, then placement accuracy is improved, but the device complexity increases
Solution Approach 1:
The validation module leverages the existing dual-sensor configuration (electrodes for heart rate and microphones for heart sound) already present in the monitoring device. By processing data from both sensors through the validation module, the system achieves placement verification without requiring additional specialized hardware, thus limiting the increase in device complexity.
3Ease of repair
If the system generates error messages for placement issues, then troubleshooting is facilitated, but the processing requirements and device complexity increase
Solution Approach 1:
The validation module automatically detects placement errors by analyzing the correlation between heart rate and heart sound data, and autonomously generates appropriate error messages or alerts. This self-diagnostic capability eliminates the need for manual troubleshooting by healthcare providers, facilitating rapid identification and correction of placement issues without adding complex manual intervention systems.
Data Source
AI summary
This disclosure relates to devices, systems, and methods for validating locational data for a monitoring device. The external monitoring device located on a patient may include one or more processors, one or more memory devices, one or more power devices, one or more heart rate detection devices, and one or more heart sound detection devices. Further, the method may include determining a plurality of status of an external monitoring device located on a patient via one or more processors based on obtained heart rate data and obtained heart sound data. The external monitoring device state may be generated via a validation module based on the heart rate data and the heart sound data.