Smart ECG Monitoring Through IoT

Background

Recently, several studies have been interested in developing systems for remote monitoring of cardiac signals (Yang et al, 2016; Xia et al, 2013; Manikandan et al, 2019). In fact, the arrival of the Internet of Things (IoT) allows driving the development of large advanced information services, which requires the treatment in real-time and the storage of data centers with a great capacity and computing power (Chakraborty et al, 2016). In addition to that, the rapid growth of the (IoT) has led to the development of a multitude of new access technologies targeted at low power- wide area networks (LP-WANs). For example, sensors and monitoring solutions can exchange very small data rate and very little energy consumption can be considered as the typical applications for the LPWAN (Qadir et al, 2018; Rashid et al, 2016). In addition, the arrival of new processing technologies in the field of biomedical engineering allows for a considerable development. More specifically, the emergence of the field of artificial intelligence and its integration with IoT applications makes it possible to innovate automatic tools that help real-time medical diagnosis in the development of therapeutic strategies and follow-up care (Rashid et al, 2016; Rashid et al, 2018).