IoT monitoring system for patients with cardiac disease

Mateos Barrado, Almudena (2019). IoT monitoring system for patients with cardiac disease. Thesis (Master thesis), E.T.S.I. y Sistemas de Telecomunicación (UPM).

Description

Title: IoT monitoring system for patients with cardiac disease
Author/s:
  • Mateos Barrado, Almudena
Contributor/s:
  • Hernández Díaz, Vicente
  • Martínez Ortega, José Fernán
Item Type: Thesis (Master thesis)
Masters title: Internet of Things (MIoT)
Date: July 2019
Subjects:
Freetext Keywords: Cardiología; Monitorización; Atención primaria
Faculty: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Department: Ingeniería Telemática y Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The work developed for the Master Thesis explained in this document is about the development of a monitorization system for patients with cardiac diseases, to heal at their homes after surgery, once they do not need primary attention services. The approach consists on the development of sensor terminals, that acquire data from the real world, such as temperature, heartbeat or electrocardiogram data, among others, manages them, puts them in dashboards and makes decisions. Afterwards, those data are sent to the cloud. An edge device gathers data from the sensor nodes, pre-process that and it is also in charge of triggering alarms. This device sends data to the cloud platform periodically. The cloud platform that is being used is Microsoft Azure. The master thesis has been developed using several hardware platforms, such as TTGO and Raspberry Pi (or similar), as a sensing platform and an edge platform respectively, and Microsoft Azure as cloud platform. And different means of communication, such as MQTT, HTTP and LoRa, are also involved in the system.

More information

Item ID: 65641
DC Identifier: http://oa.upm.es/65641/
OAI Identifier: oai:oa.upm.es:65641
Deposited by: Biblioteca Universitaria Campus Sur
Deposited on: 05 Dec 2020 07:10
Last Modified: 05 Dec 2020 07:10
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