Towards an IoHT Platform to Monitor QoL Indicators

Pedro A. Santos Neto, Rossana M. C. Andrade, Pedro A. Santos Neto, Breno S. Oliveira

2022

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 this idea is promising and that there are many open challenges to be addressed.

Paper Citation

in Harvard Style

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) - Volume 5: HEALTHINF; ISBN 978-989-758-552-4, SciTePress, pages 438-445. DOI: 10.5220/0010823500003123

in Bibtex Style

@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) - Volume 5: HEALTHINF},
year={2022},
pages={438-445},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010823500003123},
isbn={978-989-758-552-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 5: HEALTHINF
TI - Towards an IoHT Platform to Monitor QoL Indicators
SN - 978-989-758-552-4
AU - Oliveira P.
AU - Andrade R.
AU - Neto P.
AU - Oliveira B.
PY - 2022
SP - 438
EP - 445
DO - 10.5220/0010823500003123
PB - SciTePress