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Smart Multi-Level Tool for Remote Patient Monitoring Based on a Wireless Sensor Network and Mobile Augmented Reality
Technological innovations in the field of disease prevention and maintenance of patient health have enabled the evolution of fields such as monitoring systems. One of the main advances is the development of real-time monitors that use intelligent and wireless communication technology. In this paper,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208221/ https://www.ncbi.nlm.nih.gov/pubmed/25230306 http://dx.doi.org/10.3390/s140917212 |
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author | González, Fernando Cornelio Jimènez Villegas, Osslan Osiris Vergara Ramírez, Dulce Esperanza Torres Sánchez, Vianey Guadalupe Cruz Domínguez, Humberto Ochoa |
author_facet | González, Fernando Cornelio Jimènez Villegas, Osslan Osiris Vergara Ramírez, Dulce Esperanza Torres Sánchez, Vianey Guadalupe Cruz Domínguez, Humberto Ochoa |
author_sort | González, Fernando Cornelio Jimènez |
collection | PubMed |
description | Technological innovations in the field of disease prevention and maintenance of patient health have enabled the evolution of fields such as monitoring systems. One of the main advances is the development of real-time monitors that use intelligent and wireless communication technology. In this paper, a system is presented for the remote monitoring of the body temperature and heart rate of a patient by means of a wireless sensor network (WSN) and mobile augmented reality (MAR). The combination of a WSN and MAR provides a novel alternative to remotely measure body temperature and heart rate in real time during patient care. The system is composed of (1) hardware such as Arduino microcontrollers (in the patient nodes), personal computers (for the nurse server), smartphones (for the mobile nurse monitor and the virtual patient file) and sensors (to measure body temperature and heart rate), (2) a network layer using WiFly technology, and (3) software such as LabView, Android SDK, and DroidAR. The results obtained from tests show that the system can perform effectively within a range of 20 m and requires ten minutes to stabilize the temperature sensor to detect hyperthermia, hypothermia or normal body temperature conditions. Additionally, the heart rate sensor can detect conditions of tachycardia and bradycardia. |
format | Online Article Text |
id | pubmed-4208221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-42082212014-10-24 Smart Multi-Level Tool for Remote Patient Monitoring Based on a Wireless Sensor Network and Mobile Augmented Reality González, Fernando Cornelio Jimènez Villegas, Osslan Osiris Vergara Ramírez, Dulce Esperanza Torres Sánchez, Vianey Guadalupe Cruz Domínguez, Humberto Ochoa Sensors (Basel) Article Technological innovations in the field of disease prevention and maintenance of patient health have enabled the evolution of fields such as monitoring systems. One of the main advances is the development of real-time monitors that use intelligent and wireless communication technology. In this paper, a system is presented for the remote monitoring of the body temperature and heart rate of a patient by means of a wireless sensor network (WSN) and mobile augmented reality (MAR). The combination of a WSN and MAR provides a novel alternative to remotely measure body temperature and heart rate in real time during patient care. The system is composed of (1) hardware such as Arduino microcontrollers (in the patient nodes), personal computers (for the nurse server), smartphones (for the mobile nurse monitor and the virtual patient file) and sensors (to measure body temperature and heart rate), (2) a network layer using WiFly technology, and (3) software such as LabView, Android SDK, and DroidAR. The results obtained from tests show that the system can perform effectively within a range of 20 m and requires ten minutes to stabilize the temperature sensor to detect hyperthermia, hypothermia or normal body temperature conditions. Additionally, the heart rate sensor can detect conditions of tachycardia and bradycardia. MDPI 2014-09-16 /pmc/articles/PMC4208221/ /pubmed/25230306 http://dx.doi.org/10.3390/s140917212 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article González, Fernando Cornelio Jimènez Villegas, Osslan Osiris Vergara Ramírez, Dulce Esperanza Torres Sánchez, Vianey Guadalupe Cruz Domínguez, Humberto Ochoa Smart Multi-Level Tool for Remote Patient Monitoring Based on a Wireless Sensor Network and Mobile Augmented Reality |
title | Smart Multi-Level Tool for Remote Patient Monitoring Based on a Wireless Sensor Network and Mobile Augmented Reality |
title_full | Smart Multi-Level Tool for Remote Patient Monitoring Based on a Wireless Sensor Network and Mobile Augmented Reality |
title_fullStr | Smart Multi-Level Tool for Remote Patient Monitoring Based on a Wireless Sensor Network and Mobile Augmented Reality |
title_full_unstemmed | Smart Multi-Level Tool for Remote Patient Monitoring Based on a Wireless Sensor Network and Mobile Augmented Reality |
title_short | Smart Multi-Level Tool for Remote Patient Monitoring Based on a Wireless Sensor Network and Mobile Augmented Reality |
title_sort | smart multi-level tool for remote patient monitoring based on a wireless sensor network and mobile augmented reality |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208221/ https://www.ncbi.nlm.nih.gov/pubmed/25230306 http://dx.doi.org/10.3390/s140917212 |
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