Biomedical Signal Processing

Biomedical Signal Processing involves analyzing signals generated by the body, such as electrical activity from the heart (ECG) or brain (EEG), to monitor, diagnose, or understand health conditions. It uses techniques like filtering, noise reduction, and pattern recognition to extract meaningful information from complex data. This process helps medical professionals detect abnormalities, track disease progression, and develop assistive technologies, ultimately improving patient care.