Heat stroke detection system based in IoT

Palma Oscar Antonio; Ceballos Martha Rocio; Reyes Vicente; Basto Carolina; Barzallo Boris

doi:10.1109/ETCM.2017.8247509

Heat stroke detection system based in IoT

Palma Oscar Antonio, Ceballos Martha Rocio, Reyes Vicente, Basto Carolina, Barzallo Boris

Artificial Intelligence and Assistive Technologies Research Group (GI-IATa)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

The increase of temperature on earth's surface in recent years has significantly affected the health of humans, where the concept of heat stroke has become a disturbing situation, especially if we consider the increase in deaths caused by this condition. The effects caused by problems related to high temperatures have been of interest for studies where the technology can have an important role for the solution of the same ones. The present work shows the design of a system employing temperature and heartbeat sensors using IoT concept for detection heat stroke early in children, elderly people and adults of productive age exposed to high temperatures and high humidity in the southeast of Mexico. The results show that the system proposed is efficient and practically usable in life real.

Original language	English
Title of host publication	2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538638941
DOIs	https://doi.org/10.1109/ETCM.2017.8247509
State	Published - 4 Jan 2018
Event	2nd IEEE Ecuador Technical Chapters Meeting, ETCM 2017 - Salinas, Ecuador Duration: 16 Oct 2017 → 20 Oct 2017

Publication series

Name	2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017
Volume	2017-January

Conference

Conference	2nd IEEE Ecuador Technical Chapters Meeting, ETCM 2017
Country/Territory	Ecuador
City	Salinas
Period	16/10/17 → 20/10/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

heat stroke
IoT
mHealth

Access to Document

10.1109/ETCM.2017.8247509

Cite this

Antonio, P. O., Rocio, C. M., Vicente, R., Carolina, B., & Boris, B. (2018). Heat stroke detection system based in IoT. In 2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017 (pp. 1-6). (2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETCM.2017.8247509

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title = "Heat stroke detection system based in IoT",

abstract = "The increase of temperature on earth's surface in recent years has significantly affected the health of humans, where the concept of heat stroke has become a disturbing situation, especially if we consider the increase in deaths caused by this condition. The effects caused by problems related to high temperatures have been of interest for studies where the technology can have an important role for the solution of the same ones. The present work shows the design of a system employing temperature and heartbeat sensors using IoT concept for detection heat stroke early in children, elderly people and adults of productive age exposed to high temperatures and high humidity in the southeast of Mexico. The results show that the system proposed is efficient and practically usable in life real.",

keywords = "heat stroke, IoT, mHealth",

author = "Antonio, {Palma Oscar} and Rocio, {Ceballos Martha} and Reyes Vicente and Basto Carolina and Barzallo Boris",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2nd IEEE Ecuador Technical Chapters Meeting, ETCM 2017 ; Conference date: 16-10-2017 Through 20-10-2017",

year = "2018",

month = jan,

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doi = "10.1109/ETCM.2017.8247509",

language = "English",

series = "2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017",

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Antonio, PO, Rocio, CM, Vicente, R, Carolina, B & Boris, B 2018, Heat stroke detection system based in IoT. in 2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017. 2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2nd IEEE Ecuador Technical Chapters Meeting, ETCM 2017, Salinas, Ecuador, 16/10/17. https://doi.org/10.1109/ETCM.2017.8247509

Heat stroke detection system based in IoT. / Antonio, Palma Oscar; Rocio, Ceballos Martha; Vicente, Reyes et al.
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6 (2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Rocio, Ceballos Martha

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N2 - The increase of temperature on earth's surface in recent years has significantly affected the health of humans, where the concept of heat stroke has become a disturbing situation, especially if we consider the increase in deaths caused by this condition. The effects caused by problems related to high temperatures have been of interest for studies where the technology can have an important role for the solution of the same ones. The present work shows the design of a system employing temperature and heartbeat sensors using IoT concept for detection heat stroke early in children, elderly people and adults of productive age exposed to high temperatures and high humidity in the southeast of Mexico. The results show that the system proposed is efficient and practically usable in life real.

AB - The increase of temperature on earth's surface in recent years has significantly affected the health of humans, where the concept of heat stroke has become a disturbing situation, especially if we consider the increase in deaths caused by this condition. The effects caused by problems related to high temperatures have been of interest for studies where the technology can have an important role for the solution of the same ones. The present work shows the design of a system employing temperature and heartbeat sensors using IoT concept for detection heat stroke early in children, elderly people and adults of productive age exposed to high temperatures and high humidity in the southeast of Mexico. The results show that the system proposed is efficient and practically usable in life real.

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M3 - Conference contribution

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T3 - 2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017

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Y2 - 16 October 2017 through 20 October 2017

ER -

Heat stroke detection system based in IoT

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Keywords

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