Key result
The proposed optimally-factored cascade IFIR filter reduced the number of multipliers from 274 to 30 and structural adders from 547 to 57 compared to conventional FIR implementation, while effectively suppressing ECG noise.
A newly designed low-complexity FIR filter for wearable ECG devices reduces hardware complexity compared to existing state-of-the-art filters, potentially improving power consumption and cost.
May facilitate low-power wearable ECG monitoring; leaves open clinical validation of signal fidelity.
Wearable and implantable Electrocardiograph (ECG) devices are becoming prevailing tools for continuous real-time personal health monitoring. The ECG signal can be contaminated by various types of noise and artifacts (e.g., powerline interference, baseline wandering) that must be removed or suppressed for accurate ECG signal processing. Limited device size, power consumption and cost are critical issues that need to be carefully considered when designing any portable health monitoring device, including a battery-powered ECG device. This work presents a novel low-complexity noise suppression reconfigurable finite impulse response (FIR) filter structure for wearable ECG and heart monitoring devices. The design relies on a recently introduced optimally-factored FIR filter method. The new filter structure and several of its useful features are presented in detail. We also studied the hardware complexity of the proposed structure and compared it with the state-of-the-art. The results showed that the new ECG filter has a lower hardware complexity relative to the state-of-the-art ECG filters.
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Asgari et al. (2017) studied ECG noise suppression. Optimally-factored cascade IFIR filter vs. Conventional FIR implementation was evaluated on Hardware complexity (number of multipliers and structural adders). The proposed optimally-factored cascade IFIR filter reduced the number of multipliers from 274 to 30 and structural adders from 547 to 57 compared to conventional FIR implementation, while effectively suppressing ECG noise.
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