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Published on: April 18, 2013
An 11 μ w, two-electrode transimpedance biosignal amplifier with active current feedback stabilization.
IEEE Transactions on Biomedical Circuits and Systems
|July 16, 2013
Summary
This study presents a novel, low-power two-electrode biosignal amplifier circuit. The design achieves minimal power consumption and reduces common-mode voltage issues, enabling high-quality electrocardiogram (ECG) recordings.
Area of Science:
- Biomedical Engineering
- Electronics Engineering
Background:
- Two-electrode biosignal recording systems often suffer from baseline drift and amplifier saturation.
- Existing systems may have high power consumption, limiting portability and application scope.
Purpose of the Study:
- To demonstrate a novel two-electrode biosignal amplifier circuit with reduced power consumption and improved performance.
- To address common-mode voltage issues inherent in two-electrode biosignal acquisition.
Main Methods:
- Utilized a composite transimpedance amplifier input stage with active current feedback.
- Employed micropower, low gain-bandwidth product operational amplifiers with off-the-shelf integrated circuits.
- Characterized amplifier bandwidth (0.05-200 Hz), midband voltage gain (48 dB), and output noise (1.2 mVpp).
Main Results:
- Achieved the lowest reported power consumption (11 μW) for a commercial integrated circuit implementation.
- Active current feedback effectively controlled common-mode voltage, minimizing drift and saturation.
- Demonstrated a high signal-to-noise ratio (approaching 50 dB) for typical electrocardiogram (ECG) signals.
- The proposed circuit's performance closely matched standard three-electrode ECG recordings, with a residual power of 0.54%.
Conclusions:
- The novel two-electrode biosignal amplifier offers a low-power, high-performance solution for biosignal acquisition.
- The circuit's active current feedback mechanism enhances stability and reduces artifacts in two-electrode systems.
- This technology is suitable for electrocardiogram (ECG) and potentially other biosignals like electroencephalogram (EEG).
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