Heart beat detection and analysis from videos

Zaunseder, S.,Heinke, A.,Trumpp, A.,Malberg, H.

Electronics and Nanotechnology（2014）

引用 17|浏览8

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摘要

Camera-based photoplethysmography provides a mean to monitor cardiovascular parameters remotely. This contribution tackles heart beat detection from remote photoplethysmograms (rPPG) by using a Wavelet-based detection algorithm and time delay estimation. Using experimental recordings of 18 healthy volunteers under resting conditions we demonstrate that depending on the used region of interest detection accuracies of 95% to 99% can be obtained. Time delay estimation is shown to improve the temporal exactness of the detections. Future work will be directed at the detection in non-resting periods and the automated identification of usable signal segments.

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关键词

cardiovascular system,delays,image sensors,medical signal processing,patient monitoring,photoplethysmography,video signal processing,wavelet transforms,automated identification,camera-based photoplethysmography,cardiovascular parameter monitoring,experimental recordings,heart beat analysis,heart beat detection,remote photoplethysmograms,resting conditions,temporal exactness,time delay estimation,usable signal segments,videos,wavelet-based detection algorithm,beat detection,biosignal processing,camera,pulse wave,remote photoplethysmography,wavelet transform,accuracy,estimation

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