Heart beat detection and analysis from videos

Author

Zaunseder, S. ; Heinke, Andreas ; Trumpp, Alexander ; Malberg, Hagen

Author_Institution

Inst. of Biomed. Eng., Tech. Univ. Dresden, Dresden, Germany

fYear

2014

fDate

15-18 April 2014

Firstpage

286

Lastpage

290

Abstract

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.

Keywords

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; Accuracy; Conferences; Delay effects; Electrocardiography; Estimation; Heart beat; Photoplethysmography; beat detection; biosignal processing; camera; pulse wave; remote photoplethysmography; time delay estimation; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics and Nanotechnology (ELNANO), 2014 IEEE 34th International Conference on

Conference_Location

Kyiv

Print_ISBN

978-1-4799-4581-8

Type

conf

DOI

10.1109/ELNANO.2014.6873915

Filename

6873915