Abstract
The aims of this study are summarized in the following items: first, to investigate the class discrimination power of long-term heart rate variability (HRV) features for risk assessment in patients suffering from congestive heart failure (CHF); second, to introduce the most discriminative features of HRV to discriminate low risk patients (LRPs) and high risk patients (HRPs), and third, to examine the influence of feature dimension reduction in order to achieve desired accuracy of the classification. We analyzed two public Holter databases: 12 data of patients suffering from mild CHF (NYHA class I and II), labeled as LRPs and 32 data of patients suffering from severe CHF (NYHA class III and IV), labeled as HRPs. A K-nearest neighbor classifier was used to evaluate the performance of feature set in the classification. Moreover, to reduce the number of features as well as the overlap of the samples of two classes in feature space, we used generalized discriminant analysis (GDA) as a feature extraction method. By applying GDA to the discriminative nonlinear features, we achieved sensitivity and specificity of 100% having the least number of features. Finally, the results were compared with other similar conducted studies regarding ...Continue Reading
References
Apr 1, 1995·Circulation·J T BiggerP K Stein
Jun 15, 1999·Medical & Biological Engineering & Computing·I P Mitov, I K Daskalov
Mar 29, 2000·Journal of Mathematical Psychology·M W Browne
Jun 14, 2000·Circulation·A L GoldbergerH E Stanley
Sep 27, 2000·Circulation·J L FlegT Bazzarre
Oct 14, 2000·Neural Computation·G Baudat, F Anouar
Aug 4, 2001·Autonomic Neuroscience : Basic & Clinical·S GuzzettiS Mezzetti
Mar 15, 1991·Proceedings of the National Academy of Sciences of the United States of America·S M Pincus
Sep 17, 2002·Heart·J E MietusA L Goldberger
Dec 20, 2002·Zeitschrift für Kardiologie·C KrügerM Haass
Feb 5, 2003·Circulation·Maria Teresa La RovereFranco Cobelli
Dec 31, 2003·The American Journal of Cardiology·Doron AronsonAndrew J Burger
Apr 2, 2004·Circulation Journal : Official Journal of the Japanese Circulation Society·Mitsuyoshi HadaseHiroaki Matsubara
Nov 18, 2006·Medical & Biological Engineering & Computing·U Rajendra AcharyaJasjit S Suri
Mar 16, 2007·Computers in Biology and Medicine·Yalçin Işler, Mehmet Kuntalp
Jul 1, 2008·Artificial Intelligence in Medicine·Babak Mohammadzadeh AslMaryam Mohebbi
Feb 17, 2009·Clinical Research in Cardiology : Official Journal of the German Cardiac Society·Tom D J SmildeMaarten P van den Berg
Jun 13, 2009·Medical & Biological Engineering & Computing·Espen Alexander Fürst Ihlen
Nov 16, 2010·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Leandro PecchiaMarcello Bracale
Nov 17, 2010·IEEE Transactions on Bio-medical Engineering·Leandro PecchiaMarcello Bracale
Jan 5, 2011·Medical & Biological Engineering & Computing·Paolo MelilloLeandro Pecchia
Jan 21, 2012·Computer Methods and Programs in Biomedicine·Sung-Nien Yu, Ming-Yuan Lee
Feb 22, 2012·Journal of cardiology·Takuya Kishi
Jul 20, 2012·Computers in Biology and Medicine·Sung-Nien Yu, Ming-Yuan Lee
Mar 5, 2014·IEEE Journal of Biomedical and Health Informatics·Paolo MelilloLeandro Pecchia
Citations
Jun 7, 2016·Computer Methods and Programs in Biomedicine·You-Shyang Chen
Jan 10, 2017·Archivos de cardiología de México·Victoria SegoviaIván Rodríguez-Núñez
Jul 12, 2018·IEEE Transactions on Bio-medical Engineering·Gaetano ValenzaRiccardo Barbieri
May 4, 2018·Biomedical Engineering Online·Hau-Tieng Wu, Elsayed Z Soliman
Aug 14, 2021·Frontiers in Cardiovascular Medicine·Jun WangLilei Yu