Key result
Analog ECG baseline wander removal circuitry improves SNR by ~10 dB using quadratic interpolation.
Why the study?
A fully analog baseline wander tracking and removal method without digital post processing is needed for compact, low power long-term ECG monitoring devices.
The proposed fully analog circuitry effectively removes baseline wander in ECG waveforms with low power consumption, making it suitable for compact long-term ECG monitoring devices.
May enable compact long-term ECG monitors; leaves open clinical validation of analog removal.
This work presents a fully analog baseline wander tracking and removal circuitry using high-pass filter (HPF) based R-peak detection and quadratic interpolation that does not require digital post processing, thus suitable for compact and low power long-term ECG monitoring devices. The proposed method can effectively track and remove baseline wander in ECG waveforms corrupted by various motion artifacts, whereas minimizing the loss of essential features including the QRS-Complex. The key component for tracking the baseline wander is down sampling the moving average of the corrupted ECG waveform followed by quadratic interpolation, where the R-peak samples that distort the baseline tracking are excluded from the moving average by using a HPF based approach. The proposed circuit is designed using CMOS 0.18-μm technology (1.8V supply) with power consumption of 19.1 μW and estimated area of 15.5 mm2 using a 4th order HPF and quadratic interpolation. Results show SNR improvement of 10 dB after removing the baseline wander from the corrupted ECG waveform.
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Nazari et al. (2020) studied ECG baseline wander and motion artifacts. Fully analog baseline wander tracking and removal circuitry using 4th order HPF and quadratic interpolation vs. Other filter types and interpolation methods (e.g., LPF, linear interpolation) was evaluated on Signal-to-Noise Ratio (SNR) improvement (9.96 dB). The proposed fully analog ECG baseline wander tracking and removal circuitry using a 4th order HPF and quadratic interpolation achieved an SNR improvement of 9.96 dB with 19.14 µW power consumption.
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