ECG Patient Monitor Common Mode Noise Spectrum Analysis
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Solution Overview
Problem
Current patient monitoring systems face challenges in accurately measuring physiological parameters due to common mode noise interference from nearby electronic devices, lacking effective debugging tools to identify and minimize this interference.
Innovation Solution
A system and method that utilize hardware circuits and software to sample and analyze electrocardiogram (ECG) signals, displaying real-time DC and AC spectrum analysis to identify and display common mode noise levels, allowing technicians to diagnose and reduce noise interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple electronic devices are used in close proximity for patient monitoring, then the functionality and measurement capabilities are improved, but common mode noise interference increases
Solution Approach 1:
The patent introduces an intermediary debugging tool that acts as a mediator between the ECG monitoring system and the noise environment. This tool includes a spectrum analyzer and debugging interface that enable technicians to identify and characterize common mode noise sources without being part of the interfering electronic devices themselves, thus allowing the system to operate in complex electromagnetic environments while providing a means to diagnose interference issues.
Solution Approach 2:
The system implements feedback by continuously monitoring the ECG signal quality and providing real-time information about common mode noise levels through the debugging interface. This feedback loop allows technicians to adjust system configurations, reposition electrodes, or identify interfering devices based on the displayed noise characteristics, thereby maintaining measurement accuracy despite the presence of multiple electronic devices.
2Difficulty of detecting and measuring
If field support technicians are sent to debug common mode noise issues, then the problem identification capability is improved, but the time and cost for troubleshooting increase
Solution Approach 1:
The debugging tool enables self-service troubleshooting by providing technicians with autonomous diagnostic capabilities directly at the patient monitor. The spectrum analyzer automatically captures and displays common mode noise characteristics without requiring extensive external equipment or expert intervention, allowing technicians to independently identify noise sources and implement corrections, thereby reducing both troubleshooting time and costs.
Solution Approach 2:
The debugging interface utilizes visual indicators including color-coded displays to represent different noise levels and characteristics. This visual feedback system allows technicians to quickly assess the severity and type of common mode interference at a glance, accelerating the diagnostic process and enabling faster decision-making compared to traditional text-based or manual analysis methods.
3Measurement precision
If debugging tools are provided to identify common mode noise, then the measurement accuracy is improved, but the device complexity increases
Solution Approach 1:
The debugging tool is designed with multi-functionality, serving both as a diagnostic instrument for common mode noise analysis and as an integrated part of the patient monitoring system. The same hardware platform performs both ECG signal acquisition and common mode noise characterization, eliminating the need for separate dedicated debugging equipment and reducing overall system complexity while maintaining measurement precision.
Solution Approach 2:
The patent merges the debugging capabilities directly into the patient monitor by integrating the spectrum analyzer and analysis software with the existing ECG processing hardware. This consolidation combines multiple functions (ECG monitoring, noise detection, spectral analysis) into a single unified system, reducing the number of separate components and interfaces while enhancing measurement accuracy through coordinated processing.
Data Source
AI summary
Systems, computing platforms, and methods for sampling and analyzing common mode noise on electrocardiogram signals to help to minimize the interference to the electrocardiogram signals are disclosed. Exemplary implementations may: obtain electrocardiogram signals from one or more sensors configured to be attached to a patient and communicatively connected to a patient monitor; receive the electrocardiogram signals from one or more sensors by the patient monitor; display the electrocardiogram signals on one or more displays of the patient monitor; sample and analyze a direct current range and an alternating current spectrum to identify common mode interference levels within the obtained electrocardiogram signals; display the direct current range and the alternating current spectrum via the one or more displays of the patient monitor; and update the display of the direct current range and the alternating current spectrum in real time to identify sources of common mode interference.