
Research Article
Smartphone-Based Strategy for Quality-of-Life Monitoring in Head and Neck Cancer Survivors
@INPROCEEDINGS{10.1007/978-3-031-34586-9_12, author={Laura Lopez-Perez and Itziar Alonso and Elizabeth Filippodou and Franco Mercalli and Stefano Cavalieri and Elena Martinelli and Lisa Licitra and Anastassios Manos and Mar\^{\i}a Fernanda Cabrera-Umpierrez and Giuseppe Fico}, title={Smartphone-Based Strategy for Quality-of-Life Monitoring in Head and Neck Cancer Survivors}, proceedings={Pervasive Computing Technologies for Healthcare. 16th EAI International Conference, PervasiveHealth 2022, Thessaloniki, Greece, December 12-14, 2022, Proceedings}, proceedings_a={PERVASIVEHEALTH}, year={2023}, month={6}, keywords={IoT systems IoT-based monitoring systems cancer research head and neck cancer quality of life}, doi={10.1007/978-3-031-34586-9_12} }
- Laura Lopez-Perez
Itziar Alonso
Elizabeth Filippodou
Franco Mercalli
Stefano Cavalieri
Elena Martinelli
Lisa Licitra
Anastassios Manos
María Fernanda Cabrera-Umpierrez
Giuseppe Fico
Year: 2023
Smartphone-Based Strategy for Quality-of-Life Monitoring in Head and Neck Cancer Survivors
PERVASIVEHEALTH
Springer
DOI: 10.1007/978-3-031-34586-9_12
Abstract
Smartphone-based IoT systems have the potential to predict and keep control of Quality of Life measurements with the adequate design. This work aims to provide a comprehensive strategy for the development of a disease-specific application to monitor Quality of Life in Head and Neck Cancer survivors. This research first presents the results from a literature review focused on mHealth services for cancer patients. Second, we provide a complete overview of a clinical trial protocol where patients are encouraged to (1) perform self-management by actively reporting symptoms, (2) keep healthy lifestyles, (3) interact with an embedded artificial intelligence that serves as an additional patient-physician communication channel, and (4) fill in Quality of Life standard questionnaires from a web platform from home. The challenges addressed, the unobtrusive data collection procedures chosen, and the quality data obtained from physical, social, and behavioral measures, provide a resourceful set of guidelines and requirements for future research works aimed at after-treatment cancer patients monitoring through IoT portable devices.