@article{bse2014213,
author={{Oweis, Rami J. and Al-Tabbaa, Basim O.},
title={QRS Detection and Heart Rate Variability Analysis: A Survey},
journal={Biomedical Science and Engineering},
volume={2},
number={1},
pages={13--34},
year={2014},
url={http://pubs.sciepub.com/bse/2/1/3},
issn={2333-438X},
abstract={Cardiac-related diseases have been one major cause of death for an ever increasing number of patients over the last few decades throughout the world. In response, automatic classification of cardiac rhythms using Heart Rate Variability analysis as an effective diagnostic tool has recently emerged as an important field of research. Previous researches has proved that translating and transforming HRV data into numbers can introduce highly accurate assessments of rhythm disorders. However, to obtain reliable HRV interpretation, accurate QRS detection approaches must be utilized. This work, as motivated by the arguments just presented, reviews in detail the most recent and efficient techniques related to QRS feature extraction and HRV determination all classified and presented in a convenient fashion to facilitate coverage. The study also presents a state-of-the-art updated review on QRS detection and heart rate variability analyses that could serve as a handy future reference in this field of research based on more than 200 articles reviewed in this effort.},
doi={10.12691/bse-2-1-3}
publisher={Science and Education Publishing}
}