Development and validation of Motion Artefact Rejection System (MARS) for electrocardiography using novel skin-stretch estimation approach

摘要

Electrocardiography (ECG) is widely used in clinical practice, for example to diagnose coronary artery disease or the cause of chest pain during a stress test, while the patient is running on a treadmill. However, artefacts due to subject's movement are hard to identify and eliminate and can be easily mistaken for symptoms of arrhythmia, leading to misdiagnosis and false alarms. Skin stretch has been identified as a major source of motion artefacts in ECG signals.