ECG Filter Coefficients for Common Mode Interference Suppression
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Solution Overview
Problem
Physiological measurement devices, such as electrocardiogram (ECG) devices, face challenges in accurately capturing heart signals due to susceptibility to common mode interference from internal and external sources, which can render signal patterns inaccurate for medical diagnostics.
Innovation Solution
The implementation of a method and system that uses digital filters with coefficients calculated through least squares error estimation to minimize time-domain differences between channels, applying finite impulse response filters to each channel to mitigate common mode interference, and a calibration system to determine reference channels and generate filter coefficients for optimal signal processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If low voltage signals are used to capture polarity changes in organs, then the sensitivity of physiological measurements is improved, but the susceptibility to interference from internal and external sources increases
Solution Approach 1:
The patent applies common mode rejection by converting the harmful common mode interference into a useful signal cancellation mechanism. By measuring the common mode voltage and using it to generate compensating signals that are subtracted from the differential measurements, the system transforms the interference into a corrective action that improves measurement accuracy.
Solution Approach 2:
The patent introduces an intermediary common mode voltage measurement channel that acts as a mediator between the differential measurement channels and the final output. This intermediate measurement allows the system to separate and remove common mode interference from the differential signals, enabling high-precision measurements despite the presence of interference.
2Reliability
If multiple channels are used to measure electrophysiological signals, then the reliability of measurements is improved, but the complexity of signal processing increases
Solution Approach 1:
The patent merges the signal processing operations across multiple channels by using a unified common mode rejection approach. Instead of independently processing each channel with complex algorithms, the system combines the channels through common mode voltage measurement and differential amplification, reducing overall processing complexity while maintaining reliability.
Solution Approach 2:
The patent changes the processing parameters by transforming the measurement approach from individual channel analysis to common mode voltage measurement. This parameter change allows the system to achieve reliable measurements through simplified processing operations that focus on removing common mode interference rather than complex multi-channel analysis.
3Object-affected harmful factors
If digital filters are applied to each channel to minimize time-domain differences, then the common mode interference is reduced, but the computational requirements increase
Solution Approach 1:
The patent converts the computational complexity into a benefit by using the common mode voltage measurement to generate filter coefficients that automatically adapt to interference conditions. This approach reduces common mode interference through computationally efficient filtering based on real-time common mode measurements rather than complex multi-channel processing.
Data Source
AI summary
The described embodiments relate to systems, methods, and apparatuses for reducing interference of signals transmitted by a physiological measurement device (108, 210, 312), such as an electrocardiogram device. The physiological measurement device can employ filters (308) that use coefficients to reduce time-domain differences between response signals of the physiological measurement device. The coefficients can be derived during a calibration process where each channel of the physiological measurement device is supplied a test signal (202) for identifying the channel with the slowest or most delayed response. Thereafter, when a monitor signal is compiled from response signals filtered using the coefficients, differences in timing between the response signals will not result in distortion of the monitor signal, thereby rendering the monitor signal more accurate for measurement purposes.


