心音图
光容积图
心率变异性
心跳
心率
心脏病学
心音
多普勒效应
信号(编程语言)
激光多普勒测速
医学
内科学
人工智能
血流
计算机科学
计算机视觉
物理
血压
滤波器(信号处理)
程序设计语言
计算机安全
天文
作者
Gloria Cosoli,L. Casacanditella,E. P. Tomasini,Lorenzo Scalise
出处
期刊:Journal of physics
[IOP Publishing]
日期:2015-11-18
卷期号:658: 012002-012002
被引量:17
标识
DOI:10.1088/1742-6596/658/1/012002
摘要
Heart Rate Variability (HRV) analysis aims to study the physiological variability of the Heart Rate (HR), which is related to the health conditions of the subject. HRV is assessed measuring heart periods (HP) on a time window of >5 minutes (1)-(2). HPs are determined from signals of different nature: electrocardiogram (ECG), photoplethysmogram (PPG), phonocardiogram (PCG) or vibrocardiogram (VCG) (3)-(4)-(5). The fundamental aspect is the identification of a feature in each heartbeat that allows to accurately compute cardiac periods (such as R peaks in ECG), in order to make possible the measurement of all the typical HRV evaluations on those intervals. VCG is a non-contact technique (4), very favourable in medicine, which detects the vibrations on the skin surface (e.g. on the carotid artery) resulting from vascular blood motion consequent to electrical signal (ECG).
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