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A Low-Noise and Low-Power Multi-Channel ECG AFE Based on Orthogonal Current-Reuse Amplifier

Yuyuan Tian, Zhenghe Qin, Ying Yu, Di Gao, Xufeng Liao, Lianxi Liu

2023IEEE Transactions on Circuits and Systems I Regular Papers17 citationsDOI

Abstract

This paper proposes a low-noise and low-power current-reuse analog front-end (AFE) for multi-channel electrocardiography (ECG) acquisition. A new low-power orthogonal recombination method is proposed in the four-channel current-reuse amplifier, which reduces the recombination current by half and cuts down the power supply voltage while ensuring the crosstalk suppression capability, resulting in a lower average channel power consumption. A four-order current-cancellation subthreshold-source-follower low-pass filter (CS-LPF) is proposed in this paper, which realizes the reduction of the chip area and power consumption by cross-coupling current cancellation technology. In addition, the input impedance boosting circuit, DC servo loop (DSL), and successive approximation register analog-to-digital converter (SAR-ADC) are designed in the proposed AFE, and it can record and quantify ECG signals. The presented AFE was implemented in a 65nm CMOS process, and the core area is 1.42mm <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times 0.85$ </tex-math></inline-formula> mm. The measured results show that the proposed AFE has a variable gain of 40.5-56dB. The fully differential low-pass filter with a power consumption of only 4.8nW achieves 50% capacitance reduction. The average power consumption per channel of the proposed AFE is only <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2.6\mu \text{W}$ </tex-math></inline-formula> , and the power efficiency factor (PEF) and noise efficiency factor (NEF) are 3.93 and 1.81 respectively.

Topics & Concepts

Electronic engineeringAmplifierCMOSAnalog front-endComputer scienceElectrical engineeringEngineeringAnalog and Mixed-Signal Circuit DesignECG Monitoring and AnalysisNeuroscience and Neural Engineering