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Asgari S, Mehrnia A. A novel low-complexity digital filter design for wearable ECG devices. PLoS One. 2017;12(4):e0175139doi: 10.1371/journal.pone.0175139.
Asgari, S., & Mehrnia, A. (2017). A novel low-complexity digital filter design for wearable ECG devices. PloS one, 12(4), e0175139. https://doi.org/10.1371/journal.pone.0175139
Asgari, Shadnaz, and Mehrnia, Alireza. "A novel low-complexity digital filter design for wearable ECG devices." PloS one vol. 12,4 (2017): e0175139. doi: https://doi.org/10.1371/journal.pone.0175139
Asgari S, Mehrnia A. A novel low-complexity digital filter design for wearable ECG devices. PLoS One. 2017 Apr 06;12(4):e0175139. doi: 10.1371/journal.pone.0175139. eCollection 2017. PMID: 28384272; PMCID: PMC5383230.
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PLoS One. 2017 Apr 06;12(4):e0175139. doi: 10.1371/journal.pone.0175139. eCollection 2017.

A novel low-complexity digital filter design for wearable ECG devices.

PloS one

Shadnaz Asgari, Alireza Mehrnia

Affiliations

  1. Biomedical Engineering Department, California State University, Long Beach, California, United States of America.
  2. Computer Engineering and Computer Science Department, California State University, Long Beach, California, United States of America.
  3. Electrical Engineering Department, University of California Los Angeles, Los Angeles, California, United States of America.

PMID: 28384272 PMCID: PMC5383230 DOI: 10.1371/journal.pone.0175139

Abstract

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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