An IoT-Cloud Enabled Real Time and Energy Efficient ECG Reader Architecture

In recent years, the Internet of Things (IoT) has emerged as a major computing paradigm leading the development of new architectures for collecting, processing and store data. Among several concepts associated with IoT, we highlight the wearable computing, which allows users to interact with devices attached to the body. In this context, a large amount of human body signals can be acquired by using sensors connected to an embedded system, such as the Electrocardiogram (ECG) signal, which is widely used in medical diagnoses of heart diseases. Moreover, there is a huge interest on the maintaining of ECG samples to accomplish disease recognition by using different techniques that require a large database. Here we propose an architecture for ECG data acquisition, storage and visualization with a low cost and energy efficient embedded device. The proposed ECG reader with IoT architecture, which is a portable device with at least 40 h of autonomy, is able to collect data with sampling frequency from 125 Hz to 1 kHz and store up to 60 s of data samples in cloud server.