DC-Coupled Fully Differential Difference Amplifier-Based Analog Front-End Design for Wearable ECG Sensors

A. Kumar, S. Balanethiram
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Abstract

Cardiovascular diseases (CVDs) are a significant cause of human death and impose a considerable economic burden on society. Early detection and prevention of CVDs can be achieved through home monitoring systems, utilizing wearable sensors to continuously record Electrocardiogram (ECG) signals from the human heart over extended periods of time. However, the design of a wearable biomedical sensor presents challenges, including motion artifact due to body movements and the need for low power consumption. In this research article, we propose an Analog Front End (AFE) that is DC coupled and consists of an FDDA-based Instrumentation Amplifier (IA) and a Programmable Gain Amplifier (PGA) with an AC coupled input stage. Our proposed AFE possesses the required characteristics for effective CVD detection, including high input impedance, low noise, high Common Mode Rejection Ratio (CMRR), and ultralow power. To address the challenge of motion artifact, we increase the AFE input impedance, while keeping the circuit as simple as possible for low power consumption. The proposed AFE is implemented in $0.18 \mu \mathrm{m}$ CMOS process with a supply voltage of 1.8V provides an excellent gain of 76dB, CMRR of around 127dB with less output noise voltage and high input impedance. Our AFE, when incorporated into a complete biomedical sensor, is capable of accurately detecting ECG signals in the range of 1-2 millivolt peak to peak, enabling the determination of heart rate or beats per minute.
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基于直流耦合全差分放大器的可穿戴式心电传感器模拟前端设计
心血管疾病是人类死亡的一个重要原因,给社会造成了相当大的经济负担。通过家庭监测系统,可以实现心血管疾病的早期检测和预防,该系统利用可穿戴传感器长时间连续记录人类心脏的心电图(ECG)信号。然而,可穿戴生物医学传感器的设计面临挑战,包括由于身体运动而产生的运动伪影和对低功耗的需求。在这篇研究文章中,我们提出了一个模拟前端(AFE),它是直流耦合的,由一个基于fdma的仪表放大器(IA)和一个带有交流耦合输入级的可编程增益放大器(PGA)组成。我们提出的AFE具有有效CVD检测所需的特性,包括高输入阻抗、低噪声、高共模抑制比(CMRR)和超低功耗。为了解决运动伪影的挑战,我们增加了AFE输入阻抗,同时保持电路尽可能简单以实现低功耗。该AFE采用$0.18 \mu \ maththrm {m}$ CMOS工艺实现,电源电压为1.8V,增益为76dB, CMRR约为127dB,输出噪声电压小,输入阻抗高。我们的AFE,当整合到一个完整的生物医学传感器中时,能够准确地检测1-2毫伏的峰值范围内的ECG信号,从而确定心率或每分钟跳动次数。
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