A Dynamically Reconfigurable ECG Analog Front-End With a 2.5× Data-Dependent Power Reduction
- Resource Type
- Periodical
- Authors
- Mondal, S.; Hsu, C.; Jafari, R.; Hall, D.
- Source
- IEEE Transactions on Biomedical Circuits and Systems IEEE Trans. Biomed. Circuits Syst. Biomedical Circuits and Systems, IEEE Transactions on. 15(5):1066-1078 Oct, 2021
- Subject
- Bioengineering
Components, Circuits, Devices and Systems
Electrocardiography
Feature extraction
Capacitors
Impedance
Reconfigurable architectures
Power demand
Activity-based power
ECG
reconfigurable AFE
- Language
- ISSN
- 1932-4545
1940-9990
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 $\mu {V_{{\rm{rms}}}}$ 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.