仰卧位
心跳
斑点图案
心率
计算机科学
信号(编程语言)
心电图
人工智能
计算机视觉
声学
生物医学工程
医学
心脏病学
物理
内科学
血压
计算机安全
程序设计语言
作者
Shuhao Que,Wim Verkruysse,Mark van Gastel,Sander Stuijk
标识
DOI:10.1109/embc48229.2022.9871712
摘要
Monitoring of heart rate in patients in the general ward is necessary to assess the clinical situation of the patient. Currently, this is done via spot-checks on pulse rate manually or on heart rate using Electrocardiogram (ECG) by nurses. More frequent measurements would allow early detection of adverse cardiac events. In this work, we investigate a contactless measurement setup combined with a signal processing pipeline, which is based on speckle vibrometry (SV), to perform contactless heart rate monitoring of human subjects in a supine position, mimicking a resting scenario in the general ward. Our results demonstrate the feasibility of extracting heart rate with SV through varying textile thicknesses (i.e., 8 mm, 32 mm and 64 mm), with an error smaller than 3 beats per minute on average compared to the ground-truth heart rate derived from ECG.
科研通智能强力驱动
Strongly Powered by AbleSci AI