A Dynamically Reconfigurable ECG Analog Front-End With a 2.5× Data-Dependent Power Reduction

IEEE Trans Biomed Circuits Syst. 2021 Oct;15(5):1066-1078. doi: 10.1109/TBCAS.2021.3114415. Epub 2021 Dec 9.

Abstract

This paper presents a reconfigurable electrocardiogram (ECG) analog front-end (AFE) exploiting bio-signals' inherent low activity and quasi-periodicity to reduce power consumption. This is realized by an agile, on-the-fly dynamic noise-power trade-off performed over specific cardiac cycle regions guided by a least mean squares (LMS)-based adaptive predictor leading to ∼2.5× data-dependent power savings. Implemented in 65 nm CMOS, the AFE has tunable performance exhibiting an input-referred noise ranging from 2.38 - 3.64 μVrms while consuming 307 - 769 nW from a 0.8 V supply. A comprehensive system performance verification was performed using ECG records from standard databases to establish the feasibility of the proposed predictor-based approach for power savings without compromising the system's anomaly detection capability or ability to extract pristine ECG features.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Amplifiers, Electronic*
  • Databases, Factual
  • Electrocardiography*
  • Equipment Design
  • Signal Processing, Computer-Assisted