Implementation of a sensor node for monitoring physiological signals with Websocket communication and data visualization in a node.js server over the Internet

This paper describes the design, development and construction of low power sensors nodes, based on internet of things technologies, for the acquisition, processing, transmission and visualization of electrocardiographic (ECG) signal, temperature and heart rate data through the Internet performing continuous data transmission using full duplex connections. This system implements three embedded sensors modules with a low power 32-bit Tensilica microcontroller, which integrates a Wi-Fi transceiver. The data is sent to a Web server on the Internet using a Wi-Fi network. A middleware functions was developed on the server based on the Node.js Framework, which creates connections based on WebSockets to receive and processed signals sent from sensor nodes and display to remotely connected users. This paper described the design of the sensor node and the blocks that make up the monitoring software and the selection of each of its components is justify. Finally, the results sections show some experimental results that illustrate the operation of the developed prototype and its low energy consumption.