This study aims to improve the performance of arrhythmia classification in deep learning models using the Teaching Learning Based Optimization (TLO) algorithm for feature optimization. The features used are extracted from the time domain of RR intervals obtained during the preprocessing stage. The NIFEA-DB and NIFECG datasets are utilized in this study, with R-peaks extracted using the Heartpy …