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Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Measuring physiological parameters or vital sign using camera has become popular in recent years. Contact-less monitoring and extraction of vital signs can be important source of information in situations like medical care system and safety control system. This paper presents the implementation of real-time, non-contact method for extraction of vital signs, heart rate in this case. A better face tracking method is used for efficient face detection. This study extends some of the previous works done and have a comparison study with several methods. The developed system used filtering with window over the green channel of the signal and then Converted to frequency domain to analyze the signal to detect heart rate. The developed system achieved high correlation and showed small error while referencing with actual heart signal from ECG. This method delivers better result in better light condition but gives fairly good result on lower light as well.

Place, publisher, year, edition, pages
Keyword [en]
physiological parameter, Heart-rate, Non-contact
National Category
Engineering and Technology
URN: urn:nbn:se:mdh:diva-29834OAI: diva2:876243
Subject / course
Innovation Technology
2015-11-13, Beta, 14:55 (English)
Available from: 2015-12-07 Created: 2015-12-03 Last updated: 2015-12-07Bibliographically approved

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