Lessons Learned from mHealth Monitoring in the Wild

Pedro Almir M. Oliveira, Pedro Almir M. Oliveira, Rossana Andrade, Pedro A. Santos Neto

2023

Abstract

In the modern world, it is no overstatement to say that “our devices know us better than we know ourselves”. In this sense, the vast amount of data generated by wearables, mobile devices, and environmental sensors has enabled the development of increasingly personalized and intelligent services. Among them, there is a growing interest in the delivery of medical practice using mobile devices (i.e., mobile health or mHealth). mHealth makes it possible to optimize healthcare systems based on continuous and transparent health monitoring, aiming to detect the emergence of diseases. However, mHealth monitoring in the real world (i.e., uncontrolled environment or, as labeled in this paper, “in the wild”) has many challenges. Therefore, this practical report discusses ten lessons learned from the Quality of Life (QoL) monitoring of twenty-one volunteers over three months. The main objective of this QoL monitoring was to collect data capable of training Machine Learning algorithms to infer users’ Quality of Life using the WHOQOL-BREF as a reference. During this period, our research team systematically recorded the problems faced and the strategies to overcome them. Such lessons can support researchers and practitioners in planning future studies to avoid or mitigate similar issues. In addition, we present strategies for dealing with each challenge using the 5W1H model.

Paper Citation

in Harvard Style

M. Oliveira P., Andrade R. and A. Santos Neto P. (2023). Lessons Learned from mHealth Monitoring in the Wild. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 5: HEALTHINF; ISBN 978-989-758-631-6, SciTePress, pages 155-166. DOI: 10.5220/0011689600003414

in Bibtex Style

@conference{healthinf23,
author={Pedro Almir M. Oliveira and Rossana Andrade and Pedro A. Santos Neto},
title={Lessons Learned from mHealth Monitoring in the Wild},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 5: HEALTHINF},
year={2023},
pages={155-166},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011689600003414},
isbn={978-989-758-631-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 5: HEALTHINF
TI - Lessons Learned from mHealth Monitoring in the Wild
SN - 978-989-758-631-6
AU - M. Oliveira P.
AU - Andrade R.
AU - A. Santos Neto P.
PY - 2023
SP - 155
EP - 166
DO - 10.5220/0011689600003414
PB - SciTePress