光容积图
可穿戴计算机
计算机科学
信号(编程语言)
无线
波形
可穿戴技术
信号处理
持续监测
生物医学工程
实时计算
医学
人工智能
重症监护医学
电子工程
电信
计算机硬件
嵌入式系统
工程类
数字信号处理
雷达
程序设计语言
运营管理
出处
期刊:International journal of biosensors & bioelectronics
[MedCrave Group]
日期:2018-01-01
卷期号:4 (4): 195-202
被引量:892
标识
DOI:10.15406/ijbsbe.2018.04.00125
摘要
Photoplethysmography (PPG) is an uncomplicated and inexpensive optical measurement method that is often used for heart rate monitoring purposes. PPG is a non-invasive technology that uses a light source and a photodetector at the surface of skin to measure the volumetric variations of blood circulation. Recently, there has been much interest from numerous researchers around the globe to extract further valuable information from the PPG signal in addition to heart rate estimation and pulse oxymetry readings. PPG signal's second derivative wave contains important health-related information. Thus, analysis of this waveform can help researchers and clinicians to evaluate various cardiovascular-related diseases such as atherosclerosis and arterial stiffness. Moreover, investigating the second derivative wave of PPG signal can also assist in early detection and diagnosis of various cardiovascular illnesses that may possibly appear later in life. For early recognition and analysis of such illnesses, continuous and real-time monitoring is an important approach that has been enabled by the latest technological advances in sensor technology and wireless communications. The aim of this article is to briefly consider some of the current developments and challenges of wearable PPG-based monitoring technologies and then to discuss some of the potential applications of this technology in clinical settings.
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