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Authors: Ikram Nedjai Merrouche 1 ; Amina Makhlouf 1 ; Nadia Saadia 1 and Amar Ramdane-Cherif 2

Affiliations: 1 University of Science and Technology Houari Boumediene, Algeria ; 2 University of Versailles-Saint-Quentin-en-Yvelines, France

Keyword(s): Heart Trouble Detection, Elderly People, Mobile Phones, ANT+ Technology, Android Application.

Related Ontology Subjects/Areas/Topics: Agents ; Ambient Intelligence ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Mobile Agents ; Multi-Agent Systems ; Software Engineering ; Symbolic Systems

Abstract: The problems caused by the occurrence of a heart disorder are great threats to the elderly. With the evolution of new mobile technologies and data transmission, the smartphone has become an ideal platform for the development of applications that can monitoring the person in order to be able to provide assistance if necessary. In order to transmit the real-time data of a cardiac sensor placed on the person to a smartphone, a communication medium is required which consumes preferably the least battery possible. In this article we use a new technology called ANT + that promises a very good rate of wireless transmission with low power consumption. We present a system that offers the doctor or the person in charge of the security of the elderly the possibility of recording different data concerning the person monitored. This data is used in a cardiac disorder detection algorithm, and allow our system to match any type of profile. In addition, we are implementing an Android applic ation, which monitors real-time heartbeat transmitted from a belt using ANT + technology, and detects any heart problems. (More)


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Paper citation in several formats:
Nedjai Merrouche, I.; Makhlouf, A.; Saadia, N. and Ramdane-Cherif, A. (2018). Cardiac Disorder Detection Application and ANT+ Technology. In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-275-2; ISSN 2184-433X, pages 295-300. DOI: 10.5220/0006530202950300

author={Ikram {Nedjai Merrouche}. and Amina Makhlouf. and Nadia Saadia. and Amar Ramdane{-}Cherif.},
title={Cardiac Disorder Detection Application and ANT+ Technology},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},


JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Cardiac Disorder Detection Application and ANT+ Technology
SN - 978-989-758-275-2
IS - 2184-433X
AU - Nedjai Merrouche, I.
AU - Makhlouf, A.
AU - Saadia, N.
AU - Ramdane-Cherif, A.
PY - 2018
SP - 295
EP - 300
DO - 10.5220/0006530202950300