光容积图
波形
血压
计算机科学
动脉硬化
信号(编程语言)
人工智能
计算机视觉
脉搏(音乐)
声学
生物医学工程
医学
内科学
电信
物理
雷达
滤波器(信号处理)
探测器
程序设计语言
作者
Djamaleddine Djeldjli,Frédéric Bousefsaf,Choubeila Maaoui,F. Bereksi‐Reguig,Alain Pruski
标识
DOI:10.1016/j.bspc.2020.102242
摘要
Recent technological advances in the field of sensors, signal processing and image processing favor the development of new techniques for vital parameters monitoring such as imaging photoplethysmography (iPPG). iPPG is a simple and noninvasive measurement technique. It has been employed to remotely estimate heart and respiratory rates, oxygen saturation and blood pressure through the measurement of blood volume pulse using a camera. In the recent decades, researchers used the morphology of contact photoplethysmographic (cPPG) signal for the assessment of arterial stiffness, blood pressure, arteriosclerosis, cardiac output, and vascular aging. We propose to study, in this article, the similarities between iPPG and cPPG waveform features that are associated to cardiovascular diseases. A fast camera and contact probes were respectively employed to record iPPG and cPPG signals. Their waveform features such as time, areas, amplitude and second derivative features were then extracted and analyzed. Results show a high correlation between the two measurement techniques. This research opens several perspectives in the remote assessment of blood pressure and arterial stiffness, and therefore for non-contact diagnosis of several cardiovascular diseases.
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