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

Ricardo Yauri Rodriguez, Milton Rios Julcapoma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728183671
DOIs
StatePublished - 21 Oct 2020
Externally publishedYes
Event2020 IEEE Engineering International Research Conference, EIRCON 2020 - Lima, Peru
Duration: 21 Oct 202023 Oct 2020

Publication series

NameProceedings of the 2020 IEEE Engineering International Research Conference, EIRCON 2020

Conference

Conference2020 IEEE Engineering International Research Conference, EIRCON 2020
CountryPeru
CityLima
Period21/10/2023/10/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • ECG
  • Internet of Things
  • Low Power
  • Middleware
  • Node.js
  • Sensor
  • WebSocket
  • Wi-Fi

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