What is ECG signal processing?

ECG signal processing refers to the techniques and methods used to analyze and interpret the electrical signals produced by the heart, as captured by an electrocardiogram (ECG). This field involves filtering noise, detecting specific waveforms (such as P, QRS, and T waves), and extracting features to assist in diagnosing heart conditions. Modern ECG signal processing often utilizes digital algorithms and machine learning to improve accuracy and automate analysis. Professionals in this area may work in healthcare, biomedical engineering, or research to enhance cardiac monitoring and diagnosis.