Smart Wear andAI /MLBecoming an integral part of the new wearable ECG innovation

Electrocardiogram (ECG or EKG) is one of the most mature and popular methods for monitoring and diagnosing heart disease. ECG is a graphic recording of changes in electrical activity of the heart during each cardiac cycle from the surface of the body by using electrocardiographic equipment, and the characterization of cardiac signal components such as QRS, P, and T waves can reflect the clinical status of a variety of cardiac diseases and cardiac abnormalities, and the use of dynamic continuous electrocardiograms or real-time monitoring can be used in the post-surgical care of patients with high risk of cardiac catheterization, intervention, cardiac surgery, or unexplained stroke, as well as for monitoring the effectiveness of drug therapy for heart disease. Intervention, cardiac surgery, or unexplained stroke and other high-risk patient post-operative care, as well as monitoring the effectiveness of cardiac drug therapy, in addition, for certain myocardial lesions caused by asymptomatic cardiac discomfort, or early diagnosis of asymptomatic atrial fibrillation is of substantial benefit, so the new wearable ECG innovation with AI / ML (artificial intelligence / machine learning) is becoming more and more important in the clinical application of smart wearable devices in autonomous health management. With the growing popularity of smart wearable devices for autonomous health management, the demand for consumer-centered heart health monitoring is also changing.