ECG analysis is the most mature field. The primary challenge is (locating the heartbeat). Algorithms like the Pan-Tompkins algorithm (based on squared derivatives and moving windows) remain the gold standard. Modern analysis focuses on HRV (Heart Rate Variability) —the subtle variation between beats—which predicts autonomic nervous system health and stress levels.
Would you like a deeper dive into any specific signal type (ECG, EEG, EMG) or algorithm (wavelets, ICA, deep learning for biosignals)? Biomedical Signal Analysis
Convolutional Neural Networks (CNNs) and transformers have revolutionized signal classification ECG analysis is the most mature field