Biomedical signal processing is a specialized academic field and methodological approach focused on applying mathematical and computational techniques to analyze physiological and biological signals. This discipline investigates data streams originating from living systems, such as electrical (e.g., ECG, EEG), acoustic, or other time-varying measurements, employing sophisticated signal processing methods for noise reduction, feature extraction, pattern recognition, and quantitative analysis to derive clinically relevant information or fundamental biological insights.