Wavelet-Based Denoising of 1-D ECG Signals: Performance Evaluation
摘要
ECG signals are essential for diagnosing heart conditions but are often corrupted by noise during acquisition and transmission. This paper focuses on using wavelet-based denoising techniques to improve 1-D ECG signal quality. It primarily evaluates their performance and compares various methods. These techniques aim to extract clear, reliable cardiac data from noisy signals, enhancing diagnostic accuracy and advancing cardiac research.