Arrhythmia Detection

Arrhythmia Detection involves utilizing advanced signal processing and machine learning techniques to analyze cardiac electrical signals for the purpose of identifying and classifying various abnormal heart rhythms. The primary goal is to enhance diagnostic accuracy, reduce detection time, and assist in clinical decision-making. This technology holds significant application value in cardiology, effectively preventing severe complications caused by arrhythmias and improving patient survival rates and quality of life.