Development of an IoT Network for Elderly Healthcare
Barceló Michans, Eva (2021)
2021
All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2021053112658
https://urn.fi/URN:NBN:fi:amk-2021053112658
Tiivistelmä
The thesis was commissioned by the Novia University of Applied Sciences to create an IoT smart network that demonstrates the potential of technological solutions in the elderly healthcare home.
The different aspects studied were the main challenges the elderly have at their home and, afterwards, the role IoT has in the healthcare domain. Finally, a smart home to assist the elderly’s life was designed based on the simulation room for training nurses located in the Alere building.
The project consists of the development of an IoT network consisting of four devices (door sensor, pressure sensor, weight sensor, and smart pillbox) which are communicating with a Raspberry Pi through MQTT to collect data and analyse it in Node-RED. The dashboard of Node-RED allows to have an interface for the medical professionals to see the status of the elderly and sent an alert if there is an anomaly.
Future work is suggested and is related to further testing of the IoT network into the simulation room and making the network more comprehensive with the incorporation of more sensors.
The different aspects studied were the main challenges the elderly have at their home and, afterwards, the role IoT has in the healthcare domain. Finally, a smart home to assist the elderly’s life was designed based on the simulation room for training nurses located in the Alere building.
The project consists of the development of an IoT network consisting of four devices (door sensor, pressure sensor, weight sensor, and smart pillbox) which are communicating with a Raspberry Pi through MQTT to collect data and analyse it in Node-RED. The dashboard of Node-RED allows to have an interface for the medical professionals to see the status of the elderly and sent an alert if there is an anomaly.
Future work is suggested and is related to further testing of the IoT network into the simulation room and making the network more comprehensive with the incorporation of more sensors.