DETECTION of R-PEAK in ELECTROCARDIOGRAM: METHODS, MATHEMATICAL MODELS, and APPLICATION

Accurate detection of R peaks in electrocardiogram (ECG) signals is crucial for diagnosing cardiovascular conditions, monitoring heart rate variability, and enabling various biomedical applications. This research paper provides a comprehensiveoverview of R peak detection methodologies, highlighting traditional techniques and modern advancements leveraging machine learning and deep learning. The study evaluates the performance of different algorithms, discusses the challenges associated with noisy and irregular ECG signals, and explores the practical applications of R peak detection in healthcare. By comparing the efficacy of various approaches, this paper aims to inform the development of more robust and accurate R peak detection systems, ultimately contributing to improved cardiovascular disease management and patient outcomes.