In the recent human health care scenario, the majority of people are battling from arrhythmia, which is a sort of cardiovascular ailment that develops when a person's heart rate is irregular or unstable. Health monitoring and the numerous technologies that go with it are a viable research topic. The number of ECG monitoring systems available in the literature is rapidly growing. As a result, it's difficult for researchers and healthcare professionals to select, compare, and assess systems that meet their demands while also meeting monitoring criteria. We propose a taxonomy for ECG monitoring systems and conduct a systematic review of the literature in this work.It also provides evidencebased support for deeply recognising ECG monitoring systems components, features, and obstacles in diagnosing various health conditions. Electrocardiogram signal should be continuously monitored regardless of location bounded to the subject and the appropriate physician. In this study, a wireless ECG monitoring system based on the AD8232 signal conditioning module was proposed for real-time signal collecting. The AD8232 ECG Sensor will be connected to the ESP32. Then, by connecting ECG leads to the chest or hand, we'll obtain an ECG signal. We'll transfer the ECG graph to the cloud using MQTT Broker utilising Ubidots parameters like API Key or Token. Additionally, we highlight the necessity of smart monitoring systems that control emerging technologies such as deep learning, artificial intelligence (AI), Big Data, and the Internet of Things (IoT) in order to deliver efficient, cost-aware, and completely linked monitoring systems.

Keywords : Health care, Cardiovascular, ECG, IoT