Smart Healthcare for ECG Telemonitoring System

Cardiovascular disorders are one of the major causes sad death among older and middle-aged people. Over past two decades, health monitoring services have evolved quickly had ability to change way care is currently provided. However, most challenging aspect mobile wearable sensor-based human activity recognition pipeline extraction related features. Feature decreases both computational complexity time. Deep learning techniques used for automatic feature in a variety fields, including health, image classification, and, recently, classification complex straightforward smart care. This paper reviews recent state art electrocardiogram (ECG) systems based on Internet things with machine deep techniques. Moreover, provided possible research challenges that can help researchers advance future work.