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Two-Electrode ECG for Ambulatory Monitoring with Minimal Hardware Complexity.
Branko Babusiak1, Stefan Borik1, Maros Smondrk1
1Department of Electromagnetic and Biomedical Engineering, University of Zilina, 01026 Zilina, Slovakia.
Sensors (Basel, Switzerland)
|April 26, 2020
Summary
This study presents a low-complexity, two-electrode electrocardiogram (ECG) system for wearables. The most effective noise suppression method was identified, ensuring high-quality ECG signals for battery-powered devices.
Area of Science:
- Biomedical Engineering
- Signal Processing
- Wearable Technology
Background:
- Wearable electrocardiogram (ECG) devices require minimal hardware for battery-powered operation.
- Ground-free ECG measurements are susceptible to significant noise interference.
- Effective noise suppression is crucial for reliable ECG signal acquisition in wearable systems.
Purpose of the Study:
- To introduce and evaluate noise suppression techniques for a two-electrode, ground-free ECG system.
- To assess the suitability of these methods for wearable, battery-powered applications.
- To identify the most effective method for power-line noise reduction and hardware simplicity.
Main Methods:
- Development of a two-electrode, ground-free ECG acquisition system.
- Implementation and comparison of three distinct noise suppression methods.
- Experimental validation using a patient simulator and a living subject with the ADS1191 front-end.
- Analysis of Power Spectral Density (PSD) and current consumption.
Main Results:
- All three noise suppression methods demonstrated suitability for power-line noise reduction in simulator tests.
- Signal power at 50 Hz varied across methods for subject measurements (-28 dB, -24.8 dB, -26 dB).
- Post-processed ECG signals achieved quality comparable to traditional three-electrode systems.
- All proposed solutions exhibited low current consumption (<1.5 mA at 500 SPS), suitable for battery operation.
Conclusions:
- The developed two-electrode ground-free ECG system is effective for wearable applications.
- The first noise suppression method proved most effective in reducing power-line noise, minimizing current consumption, and simplifying hardware.
- High-quality ECG signals comparable to multi-electrode systems can be achieved with this simplified approach.
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