2017/02/01 by Yakup Kutlu, Kutlu, Yakup, Apdullah Yayık +7
Mathematics · Medicine · #Applications (stat.AP) #ECG Monitoring and Analysis #FOS: Computer and information sciences #stat.AP
paper · pdf · doi:10.48550/arxiv.1703.00396
Congestive heart failure, ECG, Second-Order Difference Plot, classification, patient based cross-validation
arxiv created 2017/02/01 · openalex publication_date 2017/02/01 · arxiv updated 2017/03/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this study; in order to diagnose congestive heart failure (CHF) patients, non-linear second-order difference plot (SODP) obtained from raw 256 Hz sampled frequency and windowed record with different time of ECG records are used. All of the data rows are labelled with their belongings to classify much more realistically. SODPs are divided into different radius of quadrant regions and numbers of the points fall in the quadrants are computed in order to extract feature vectors. Fisher's linear discriminant, Naive Bayes, Radial basis function, and artificial neural network are used as classifier. The results are considered in two step validation methods as general k-fold cross-validation and patient based cross-validation. As a result, it is shown that using neural network classifier with features obtained from SODP, the constructed system could distinguish normal and CHF patients with 100% accuracy rate. Keywords