Biomedical Signal Processing explores the acquisition, analysis, and interpretation of physiological signals from the human body. This book provides a comprehensive overview of signal processing techniques applied to biomedical data such as ECG, EEG, EMG, and blood pressure signals. Covering both time and frequency domain methods, it emphasizes filtering, feature extraction, and classification techniques for medical diagnostics and monitoring. With applications in wearable technology, telemedicine, and artificial intelligence, the book bridges engineering and healthcare, offering insights into real-time processing and decision-making systems. It is an essential resource for students, researchers, and professionals in biomedical engineering and health informatics.