Investigating the performance improvement of HRV Indices in CHF using feature selection methods based on backward elimination and statistical significance.
In this study, the best combination of short-term heart rate variability (HRV) measures was investigated to distinguish 29 patients with congestive heart failure from 54 healthy subjects in the control group. In the analysis performed, wavelet packet transform based frequency-domain measures and several non-linear parameters were used in addition to standard HRV measures. The backward elimination and unpaired statistical analysis methods were used to select the best one among all possible combinations of these measures. Five distinct typical classifiers with different parameters were evaluated in discriminating these two groups using the leave-one-out cross validation method. Each algorithm was tested 30 times to determine the repeatability of the results. The results imply that the backward elimination method gives better performance when compared to the statistical significance method in the feature selection stage. The best performance (82.75%, 96.29%, and 91.56% for the sensitivity, specificity, and accuracy) was obtained by using the SVM classifier with 27 selected features including non-linear and wavelet-based measures.
Bulent Ecevit University, Department of Electrical and Electronics Engineering, Zonguldak, Turkey. Electronic address: alinarin45@gmail.com.
Ali
A
Narin
Izmir Katip Celebi University, Department of Biomedical Engineering, Cigli, Izmir, Turkey. Electronic address: islerya@yahoo.com.
Yalcin
Y
Isler
Bulent Ecevit University, Department of Electrical and Electronics Engineering, Zonguldak, Turkey. Electronic address: mahmutozer2002@yahoo.com.
Mahmut
M
Ozer
D000328:Adult; D000368:Aged; D000465:Algorithms; D016022:Case-Control Studies; D004562:Electrocardiography; D005260:Female; D006333:Heart Failure / Q000503:physiopathology*; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D017711:Nonlinear Dynamics; D015203:Reproducibility of Results; D058067:Wavelet Analysis; D055815:Young Adult
Congestive heart failure; Feature selection; Heart rate variability; Non-linear measures; Wavelet transform