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Detection of Long Term Variations of Heart Rate Variability in Normal Sinus Rhythm and Atrial Fibrillation ECG Data
May 27-May 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.2732008 International Conference on BioM ...
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Desok Kim, Yunhwan Seo, Woo Ram Jung, Chan-Hyun Youn, "Detection of Long Term Variations of Heart Rate Variability in Normal Sinus Rhythm and Atrial Fibrillation ECG Data," BioMedical Engineering and Informatics, International Conference on, vol. 2, pp. 404-408, 2008 International Conference on BioMedical Engineering and Informatics, 2008.
 
 
BibTex
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@article{ 10.1109/BMEI.2008.273,
author = {Desok Kim and Yunhwan Seo and Woo Ram Jung and Chan-Hyun Youn},
title = {Detection of Long Term Variations of Heart Rate Variability in Normal Sinus Rhythm and Atrial Fibrillation ECG Data},
journal ={BioMedical Engineering and Informatics, International Conference on},
volume = {2},
year = {2008},
isbn = {978-0-7695-3118-2},
pages = {404-408},
doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.273},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - BioMedical Engineering and Informatics, International Conference on
TI - Detection of Long Term Variations of Heart Rate Variability in Normal Sinus Rhythm and Atrial Fibrillation ECG Data
SN - 978-0-7695-3118-2
SP404
EP408
A1 - Desok Kim,
A1 - Yunhwan Seo,
A1 - Woo Ram Jung,
A1 - Chan-Hyun Youn,
PY - 2008
KW - null
VL - 2
JA - BioMedical Engineering and Informatics, International Conference on
ER -
 
Circadian variations of heart rate variability (HRV) have been well known in cardiac diseases.??However, long term HRV features were not thoroughly investigated for the prediction of atrial fibrillation (AF). Thus, we analyzed the 15 hour long changes of HRV of normal sinus rhythm (NSR) and AF data. Long term patterns of HRV in NSR were established first and normal data of AF were shown different to NSR.??Due to long term changes of HRV patterns, two formulas were provided higher accuracy (93%) than single formula (79%) in detecting normal data of AF. Furthermore, HRV features representing 5 and 30 min before the AF onset showed significant temporal changes and the dynamics of these changes were also different depending on the recording periods. These data suggest that the onset of AF could be predicted more accurately by considering the long term temporal variations of HRV features.
Citation:
Desok Kim, Yunhwan Seo, Woo Ram Jung, Chan-Hyun Youn, "Detection of Long Term Variations of Heart Rate Variability in Normal Sinus Rhythm and Atrial Fibrillation ECG Data," bmei, vol. 2, pp.404-408, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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