A 44μW Two-Electrode ECG Acquisition ASIC with Hybrid Motion Artifact Removal and Power-Efficient R-Peak Detection.

Tianxiang Qu, Xuecheng Yang, Biao Tang, Xiao Li, Min Chen, Zhiliang Hong, Xiaoyang Zeng, Jiawei Xu
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Abstract

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 40Vpp 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 0.62μVrms (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.

运动伪影(MA)、共模干扰(CMI)和不同的电极-组织阻抗(ETI)是造成实际可穿戴心电图采集中心率检测误差的主要因素。在基于双电极的心电图系统中,这些问题会进一步加剧。本文介绍了一种专门用于双电极心电图测量、完全集成了低功耗运动伪影消除(MAR)和心率检测功能的非卧床心电图采集 ASIC。为了减轻因缺乏受试者偏置电极而产生的严重共模干扰,这项工作采用了改进的共模消除方案,以动态功耗抑制高达 40Vpp 的共模干扰。为了解决身体运动引起的过多 MA,提出了一种混合 MAR 技术,将 ETI 和直流电极偏移 (DEO) 信号作为自适应滤波器的输入。这种方法不仅能以高能效的方式防止通道饱和,还能实时准确地提取并抑制 MA,从而确保稳定的心电图输出和准确、高能效的 R 峰检测,即使在有身体运动的情况下也是如此。核心 IA 采用标准 180nm CMOS 工艺制造,输入参考噪声 (IRN) 为 0.62μVrms(1-150Hz),输入阻抗为 1.9GΩ,50Hz 时的总 CDRR (T-CMRR) 为 92dB。在双电极配置中,ASIC 成功抑制了 MA,并获得了具有清晰 QRS 复极的高质量心电图,使内置的 R 峰检测算法能够更准确、更高效地计算实时心率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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