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Authors: Igor Matias 1 ; Nuno Pombo 2 and Nuno Garcia 2

Affiliations: 1 Universidade da Beira Interior and Instituto de Telecomunicações, Portugal ; 2 Universidade da Beira Interior, Instituto de Telecomunicações and Universidade Lusófona de Humanidades e Tecnologias, Portugal

Keyword(s): Bio Signal Monitoring Device, Arduino, Sensors, RF Communications, Emergency Scenarios Detection.

Abstract: Activity and health monitoring bracelets are currently a popular consumer electronic wearable, and several different manufacturers market several different versions, integrating a wide and diverse range of sensors. The several different types of bracelets often require the user to interact with the bracelet itself or with the help line attendant. However, this interaction is not suitable in many emergency scenarios. Thus, this paper presents a novel system to monitor, detect and communicate health critical situations, in a full automated manner. The system encompasses a bracelet capable for health abnormalities detection based on both vital signs, and accelerometer data collection from the user. This paper also describes the design and prototyping process of the bracelet, providing insight and solutions to observed problems. In spite of the early stage of this system, the observed results are promising and offer room for improvements on either complementary studies or different clini cal emergence scenarios. (More)

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Paper citation in several formats:
Matias, I.; Pombo, N. and Garcia, N. (2018). Towards a Fully Automated Bracelet for Health Emergency Solution. In Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - IoTBDS, ISBN 978-989-758-296-7; ISSN 2184-4976, pages 307-314. DOI: 10.5220/0006800803070314

@conference{iotbds18,
author={Igor Matias. and Nuno Pombo. and Nuno Garcia.},
title={Towards a Fully Automated Bracelet for Health Emergency Solution},
booktitle={Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - IoTBDS,},
year={2018},
pages={307-314},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006800803070314},
isbn={978-989-758-296-7},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - IoTBDS,
TI - Towards a Fully Automated Bracelet for Health Emergency Solution
SN - 978-989-758-296-7
IS - 2184-4976
AU - Matias, I.
AU - Pombo, N.
AU - Garcia, N.
PY - 2018
SP - 307
EP - 314
DO - 10.5220/0006800803070314

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