G, Jayagopi; C B, Sumathi. An Efficient Multi-Class ECG Arrhythmia Classification Framework Using Hybrid Tetrolet Based Energy and Entropy Features. INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES, [S. l.], p. 1382–1396, 2026. DOI: 10.29284/st1jy440. Disponível em: https://xlescience.org/index.php/IJASIS/article/view/1587. Acesso em: 24 oct. 2026.