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Extracting Heart Rate Variability: A Summary of Camera Based Photoplethysmograph
Author(s) -
Rejwana Islam,
Mousumi Sarmin,
Farzana Akter Dulia,
Moinul Islam Sayed
Publication year - 2020
Publication title -
european journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
ISSN - 2736-5751
DOI - 10.24018/ejece.2020.4.2.208
Subject(s) - photoplethysmogram , heart rate , heartbeat , fainting , heart rate variability , computer science , heart rate monitor , artificial intelligence , computer vision , medicine , computer security , blood pressure , filter (signal processing)
Heart rate is one of the major indicators of our physiological state. An irregular or rapid heartbeat, fainting, dizziness, chest pain or shortness of breath can be found by it. The traditional heart rate observing methods such as electrocardiogram (ECG) require physical contact in order to show the heart rate reading exactly but this is uncomfortable for regular monitoring. Techniques for measuring physiological parameters remotely from hospital, as well as monitoring patients continuously, have been one of the major concerns of the scholars. Many heart rate measurement methods using smartphone, webcam, commercial camera etc. have been proposed by many researchers. Image or video processing is the fundamental technique for measuring heart rate through smartphone. With the aim of exploring different heart rate monitoring methods and the advantages and disadvantages, the present study consulted secondary sources like published articles.

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