Active ECG Lead With Integrated Denoising Module
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Solution Overview
Problem
Ambulatory ECG monitoring devices face challenges in accurately interpreting signals due to in-band noise from EMG and other sources, leading to false positives, increased labor costs, and human error, especially in preclinical and clinical drug safety studies.
Innovation Solution
An active ECG sensing lead with an integrated denoising module that conditions, digitizes, and processes ECG signals using algorithms such as adaptive filtering, decomposition and thresholding, and multi-domain signal processing to improve the signal-to-noise ratio and quality of signal reconstruction, effectively removing in-band noise before recording.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standard passive ECG leads are used for ambulatory monitoring, then device simplicity is maintained, but in-band noise from EMG and other sources degrades signal quality and increases false positives
Solution Approach 1:
The denoising module performs noise filtering and signal conditioning before the ECG signal is recorded and transmitted. By removing in-band noise from EMG and other sources in advance, the system improves signal quality and reduces false positives without requiring complex post-processing or manual review
Solution Approach 2:
An active ECG lead with an integrated denoising module is introduced as an intermediary component between the electrodes and the ambulatory monitoring device. This module actively filters and conditions the ECG signal, improving reliability while maintaining relative simplicity through a modular design that can be added to existing systems
2Productivity
If noise filtering is not applied, then device complexity remains low, but manual over-read is required increasing labor costs and human error
Solution Approach 1:
The denoising module performs noise filtering and signal conditioning before the ECG signal is recorded and transmitted. By removing in-band noise from EMG and other sources in advance, the system improves signal quality and reduces false positives without requiring complex post-processing or manual review
Solution Approach 2:
The ECG lead system performs self-service by automatically filtering and conditioning its own signal output. The integrated denoising module processes the signal locally, eliminating the need for external complex processing systems or manual intervention, thereby improving productivity with minimal added complexity
3Measurement precision
If in-band noise is present in ECG signals, then signal recording is simple, but false positives increase and require expensive manual over-read
Solution Approach 1:
The denoising module performs noise filtering and signal conditioning before the ECG signal is recorded and transmitted. By removing in-band noise from EMG and other sources in advance, the system improves signal quality and reduces false positives without requiring complex post-processing or manual review
Solution Approach 2:
The denoising module applies signal processing techniques that selectively filter noise components while preserving ECG signal characteristics. By changing the frequency and amplitude parameters of noise through adaptive filtering and transformation, the system improves measurement precision without requiring overly complex circuitry
Data Source
AI summary
Various embodiments are directed to signal processing. In accordance with example embodiments, methods and apparatuses involve using at least two electrodes that sense an ECG signal. A denoising module is communicatively coupled to the at least two electrodes, and receives the ECG signal sensed by the sensing electrodes. The denoising module includes circuitry that conditions and digitizes the ECG signal, and a computing circuit that processes the digitized ECG signal to denoise the ECG signal. A communications circuit generates a communication including the denoised ECG signal for access by a remote device.