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Authors: Pedro A. Santos Oliveira 1 ; Rossana M. C. Andrade 1 ; Pedro A. Santos Neto 2 and Breno S. Oliveira 1

Affiliations: 1 Group of Computer Networks, Software Engineering and Systems (GREat), Federal University of Ceará, Ceará, Brazil ; 2 Laboratory of Software Optimization and Testing (LOST), Federal University of Piauí, Piauí, Brazil

Keyword(s): Internet of Health Things, Smart Quality of Life, Automated Monitoring.

Abstract: The Quality of Life has been studied for a long time, and the World Health Organization defines it as the individual perception about life regarding four major domains: physical, psychological, social, and environmental. The relevance to study QoL lies in the search for strategies able to measure a patient’s well-being. Without these strategies, treatments, and technological solutions that aim to improve people’s QoL would be restricted to physicians’ implicit and subjective perceptions. Thus, there are many instruments for formal QoL assessment (usually questionnaires). However, the use of these instruments is time-consuming, non-transparent, and error-prone. Considering this problem, in this work, we discuss the proposal to use the Internet of Health Things (IoHT) to collect data from smart environments and apply machine learning techniques to infer QoL measures. To achieve this goal, we designed an IoHT platform inspired by the MAPE-K loop. Our literature review has shown that thi s idea is promising and that there are many open challenges to be addressed. (More)

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Paper citation in several formats:
Oliveira, P.; Andrade, R.; Neto, P. and Oliveira, B. (2022). Towards an IoHT Platform to Monitor QoL Indicators. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - HEALTHINF; ISBN 978-989-758-552-4; ISSN 2184-4305, SciTePress, pages 438-445. DOI: 10.5220/0010823500003123

@conference{healthinf22,
author={Pedro A. Santos Oliveira. and Rossana M. C. Andrade. and Pedro A. Santos Neto. and Breno S. Oliveira.},
title={Towards an IoHT Platform to Monitor QoL Indicators},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - HEALTHINF},
year={2022},
pages={438-445},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010823500003123},
isbn={978-989-758-552-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - HEALTHINF
TI - Towards an IoHT Platform to Monitor QoL Indicators
SN - 978-989-758-552-4
IS - 2184-4305
AU - Oliveira, P.
AU - Andrade, R.
AU - Neto, P.
AU - Oliveira, B.
PY - 2022
SP - 438
EP - 445
DO - 10.5220/0010823500003123
PB - SciTePress