Rui Nelson Otoni Magno2025-04-222011NETO, João Evangelista et al. Métodos de extracción de características en el ECG: análisis comparativo. In: Anais do evento, 2011.https://rigalileo.itegam.org.br/handle/123456789/1077The article compares three ECG feature extraction methods (Discrete Cosine Transform - DCT, Principal Component Analysis - PCA, and Kernel PCA) for heartbeat classification using an MLP neural network. Results indicate that Kernel PCA achieves the highest accuracy (98.7%) but with longer execution times, while linear PCA is the fastest but less accurate (93%). The study uses data from the MIT-BIH Arrhythmia Database.pdf.ECGExtração de CaracterísticasPCADCTKernel PCAArtigoEngenharia Biomédica