A secure occupational therapy framework for monitoring cancer patients’ quality of life

Rahman, M. A. et al. (2019) A secure occupational therapy framework for monitoring cancer patients’ quality of life. Sensors, 19(23), 5258. (doi: 10.3390/s19235258) (PMID:31795384) (PMCID:PMC6928807)

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Once diagnosed with cancer, a patient goes through a series of diagnosis and tests, which are referred to as “after cancer treatment”. Due to the nature of the treatment and side effects, maintaining quality of life (QoL) in the home environment is a challenging task. Sometimes, a cancer patient’s situation changes abruptly as the functionality of certain organs deteriorates, which affects their QoL. One way of knowing the physiological functional status of a cancer patient is to design an occupational therapy. In this paper, we propose a blockchain and off-chain-based framework, which will allow multiple medical and ambient intelligent Internet of Things sensors to capture the QoL information from one’s home environment and securely share it with their community of interest. Using our proposed framework, both transactional records and multimedia big data can be shared with an oncologist or palliative care unit for real-time decision support. We have also developed blockchain-based data analytics, which will allow a clinician to visualize the immutable history of the patient’s data available from an in-home secure monitoring system for a better understanding of a patient’s current or historical states. Finally, we will present our current implementation status, which provides significant encouragement for further development.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Abbasi, Dr Qammer and Imran, Professor Muhammad and Yang, Dr Shufan and Fioranelli, Dr Francesco and Le Kernec, Dr Julien
Creator Roles:
Le Kernec, J.Data curation, Formal analysis, Methodology, Software
Imran, M.Project administration, Writing – review and editing
Fioranelli, F.Writing – review and editing
Yang, S.Writing – review and editing
Abbasi, Q. H.Writing – review and editing
Authors: Rahman, M. A., Rashid, M., Le Kernec, J., Philippe, B., Barnes, S., Fioranelli, F., Yang, S., Romain, O., Abbasi, Q., Loukas, G., and Imran, M.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Sensors
ISSN (Online):1424-8220
Published Online:29 November 2019
Copyright Holders:Copyright © 2019 The Authors
First Published:First published in Sensors 19(23): 5258
Publisher Policy:Reproduced under a Creative Commons License

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