MDi: Acquisition, analysis and data visualization system in healthcare

Federico A. Bellini; Juan G. Gutierrez-Zorrilla; Luis E. Anza; Enrique D. Ferreira; Lee G. Deneault; Gabriel Vanerio

doi:10.1109/URUCON.2017.8171879

MDi: Acquisition, analysis and data visualization system in healthcare

Federico A. Bellini
, Juan G. Gutierrez-Zorrilla
, Luis E. Anza
, Enrique D. Ferreira
, Lee G. Deneault
, Gabriel Vanerio

Departamento de Ingeniería

Universidad Católica del Uruguay
British Hospital Montevideo

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

2 Citas (Scopus)

Resumen

This work describes an IoT solution that was designed, developed and implemented to acquire time-series, physiological data, simultaneously from different legacy medical device sources such as the communications ports of a commonly used patient monitoring system and specialized sensors. Data acquired can be further processed to observe anomalies and trends. A communications platform was also implemented for remote data visualization. A prototype of this system was then successfully deployed to collect, analyze, and visualize physiological data from patients undergoing 'Tilt Table Testing' at the British Hospital in Montevideo, Uruguay, South America.

Idioma original	Inglés
Título de la publicación alojada	2017 IEEE URUCON, URUCON 2017
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	1-4
Número de páginas	4
ISBN (versión digital)	9781538633977
DOI	https://doi.org/10.1109/URUCON.2017.8171879
Estado	Publicada - 8 dic. 2017
Evento	2017 IEEE URUCON, URUCON 2017 - Montevideo Duración: 23 oct. 2017 → 25 oct. 2017

Serie de la publicación

Nombre	2017 IEEE URUCON, URUCON 2017
Volumen	2017-December

Conferencia

Conferencia	2017 IEEE URUCON, URUCON 2017
País/Territorio	Uruguay
Ciudad	Montevideo
Período	23/10/17 → 25/10/17

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante

Acceder al documento

10.1109/URUCON.2017.8171879

Otros archivos y enlaces

https://www.scopus.com/pages/publications/85046887816

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Bellini, F. A., Gutierrez-Zorrilla, J. G., Anza, L. E., Ferreira, E. D., Deneault, L. G., & Vanerio, G. (2017). MDi: Acquisition, analysis and data visualization system in healthcare. En 2017 IEEE URUCON, URUCON 2017 (pp. 1-4). (2017 IEEE URUCON, URUCON 2017; Vol. 2017-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/URUCON.2017.8171879

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title = "MDi: Acquisition, analysis and data visualization system in healthcare",

abstract = "This work describes an IoT solution that was designed, developed and implemented to acquire time-series, physiological data, simultaneously from different legacy medical device sources such as the communications ports of a commonly used patient monitoring system and specialized sensors. Data acquired can be further processed to observe anomalies and trends. A communications platform was also implemented for remote data visualization. A prototype of this system was then successfully deployed to collect, analyze, and visualize physiological data from patients undergoing 'Tilt Table Testing' at the British Hospital in Montevideo, Uruguay, South America.",

keywords = "Tilt Table Test, alarms, bioengineering, healthcare, medical device interconnectivity, patient monitoring systems, sensors",

author = "Bellini, \{Federico A.\} and Gutierrez-Zorrilla, \{Juan G.\} and Anza, \{Luis E.\} and Ferreira, \{Enrique D.\} and Deneault, \{Lee G.\} and Gabriel Vanerio",

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year = "2017",

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language = "Ingl{\'e}s",

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Bellini, FA, Gutierrez-Zorrilla, JG, Anza, LE, Ferreira, ED, Deneault, LG & Vanerio, G 2017, MDi: Acquisition, analysis and data visualization system in healthcare. En 2017 IEEE URUCON, URUCON 2017. 2017 IEEE URUCON, URUCON 2017, vol. 2017-December, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 2017 IEEE URUCON, URUCON 2017, Montevideo, Uruguay, 23/10/17. https://doi.org/10.1109/URUCON.2017.8171879

MDi: Acquisition, analysis and data visualization system in healthcare. / Bellini, Federico A.; Gutierrez-Zorrilla, Juan G.; Anza, Luis E. et al.
2017 IEEE URUCON, URUCON 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-4 (2017 IEEE URUCON, URUCON 2017; Vol. 2017-December).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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AU - Bellini, Federico A.

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AU - Anza, Luis E.

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AU - Deneault, Lee G.

AU - Vanerio, Gabriel

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N2 - This work describes an IoT solution that was designed, developed and implemented to acquire time-series, physiological data, simultaneously from different legacy medical device sources such as the communications ports of a commonly used patient monitoring system and specialized sensors. Data acquired can be further processed to observe anomalies and trends. A communications platform was also implemented for remote data visualization. A prototype of this system was then successfully deployed to collect, analyze, and visualize physiological data from patients undergoing 'Tilt Table Testing' at the British Hospital in Montevideo, Uruguay, South America.

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KW - alarms

KW - bioengineering

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KW - medical device interconnectivity

KW - patient monitoring systems

KW - sensors

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MDi: Acquisition, analysis and data visualization system in healthcare

Resumen

Serie de la publicación

Conferencia

ODS de las Naciones Unidas

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