光容积图
可穿戴计算机
计算机科学
专用集成电路
可穿戴技术
信号(编程语言)
动态范围
信号处理
计算机硬件
电气工程
无线
电子工程
嵌入式系统
工程类
电信
计算机视觉
数字信号处理
程序设计语言
作者
Zhen Lu,Ting Yi,Zhiliang Hong
标识
DOI:10.1109/asicon52560.2021.9620430
摘要
Photoplethysmography (PPG) and near-infrared spectroscopy (NIRS) are non-invasive, optical-sensor based bio-signal recording techniques that can be integrated in many low power and wearable devices, such as smart watches, headsets and finger clips, for long term health monitoring. The PPG signal contains important health information, such as heart rate (HR), heart rate variability (HRV), and blood oxygen saturation (SpO 2 ). A typical PPG system is composed of three building blocks: a light emitter/receiver, an optical readout, and a baseline current compensation circuit. The key challenge is to reduce the system power consumption while improving the dynamic range of the readout by compensating the ambient light current and DC current. This paper reviews the techniques and future trend of the state-of-the-art PPG acquisition ASICs and systems in a systematic manner.
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