A 44µW Two-Electrode ECG Acquisition ASIC With Hybrid Motion Artifact Removal and Power-Efficient <i>R</i> -Peak Detection
Motion artifacts (MA), common-mode interference (CMI), and varying electrode-tissue impedance (ETI) are the main factors that cause heart rate detection errors in practical wearable ECG acquisition. These problems are further exacerbated in two-electrode based ECG systems. This article presents an ambulatory ECG acquisition ASIC with fully integrated, low power motion artifacts removal (MAR) and heart rate detection, specifically for two-electrode ECG measurement. To alleviate the significant CMI due to the absence of subject bias electrode, this work utilizes an improved common-mode cancellation scheme to suppress CMI up to 40V<sub>pp</sub> with dynamic power consumption. To address excessive MA caused by the body movement, a hybrid MAR technique is proposed, where both ETI and DC electrode offset (DEO) signals are incorporated as inputs to the adaptive filter. This approach not only prevents channel saturation in a power-efficient manner, but also accurately extracts MA and suppresses it in real time, thereby ensuring stable ECG outputs and accurate, power-efficient R-peak detection even in the presence of body movements. Fabricated in a standard 180nm CMOS process, the core IA achieves an input referred noise (IRN) of 0.62µV<sub>rms</sub> (1-150Hz), an input impedance of 1.9GΩ and a total-CMRR (T-CMRR) of 92dB at 50Hz. In a two-electrode configuration, the ASIC successfully suppresses the MA and obtains a high-quality ECG with well-identified QRS complex, enabling the built-in R-peak detection algorithm to calculate real-time heart rate more accurately and efficiently.
Authors
- Xiaoyang Zeng (ORCID: https://orcid.org/0009-0001-9928-8782)
- Xiao Li (ORCID: https://orcid.org/0000-0002-3577-7915)
- Biao Tang (ORCID: https://orcid.org/0000-0002-3605-4022)
- Zhiliang Hong (ORCID: https://orcid.org/0000-0002-7414-5654)
- Tianxiang Qu (ORCID: https://orcid.org/0000-0002-2244-736X)
- Jiawei Xu (ORCID: https://orcid.org/0000-0002-4150-0971)
- Min Chen (ORCID: https://orcid.org/0000-0002-6197-2159)
- Xuecheng Yang
Institutions
- Fudan University (CN)
Publication Details
- Journal
- IEEE Transactions on Biomedical Circuits and Systems
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1109/tbcas.2025.3556256
- Citations
- 2
- Primary Topic
- Analog and Mixed-Signal Circuit Design
- Type
- article
- Field-Weighted Citation Impact
- 1.35