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Article

A Secure Occupational Therapy Framework for Monitoring Cancer Patients’ Quality of Life †

1
Department of Cyber Security and Forensic Computing, College of Computer and Cyber Sciences (C3S), University of Prince Mugrin, Madinah 41499, Saudi Arabia
2
Consumer and Organisational Digital Analytics (CODA) Research Centre, King’s Business School, King’s College, London WC2B 4BG, UK
3
James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK
4
Laboratoire ETIS, Université Paris Seine, Université Cergy-Pontoise, ENSEA, CNRS, UMR8051, 95000 Paris, France
5
School of Information and Communication, University of Electronic, Science, and Technology of China, Chengdu 610000, China
6
Pneumology Department, René Dubos Hospital, 95300 Pontoise, France
7
Computing and Mathematical Sciences, University of Greenwich, London SE1 09LS, UK
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Rahman, M.A.; Rashid, M.; Barnes, S.; Hossain, M.S.; Hassanain, E.; Guizani, M. An IoT and Blockchain-Based Multi-Sensory In-Home Quality of Life Framework for Cancer Patients. In Proceedings of the 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), Tangier, Morocco, 24–28 June 2019.
Sensors 2019, 19(23), 5258; https://doi.org/10.3390/s19235258
Submission received: 26 September 2019 / Revised: 7 November 2019 / Accepted: 22 November 2019 / Published: 29 November 2019

Abstract

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.
Keywords: cyber-physical occupational therapy system; distributed medical big data; health IoT sensors; therapeutic kinematic data; quality of life cyber-physical occupational therapy system; distributed medical big data; health IoT sensors; therapeutic kinematic data; quality of life

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MDPI and ACS Style

Abdur Rahman, M.; Rashid, M.M.; Le Kernec, J.; Philippe, B.; Barnes, S.J.; Fioranelli, F.; Yang, S.; Romain, O.; Abbasi, Q.H.; Loukas, G.; et al. A Secure Occupational Therapy Framework for Monitoring Cancer Patients’ Quality of Life. Sensors 2019, 19, 5258. https://doi.org/10.3390/s19235258

AMA Style

Abdur Rahman M, Rashid MM, Le Kernec J, Philippe B, Barnes SJ, Fioranelli F, Yang S, Romain O, Abbasi QH, Loukas G, et al. A Secure Occupational Therapy Framework for Monitoring Cancer Patients’ Quality of Life. Sensors. 2019; 19(23):5258. https://doi.org/10.3390/s19235258

Chicago/Turabian Style

Abdur Rahman, Md., Md. Mamunur Rashid, Julien Le Kernec, Bruno Philippe, Stuart J. Barnes, Francesco Fioranelli, Shufan Yang, Olivier Romain, Qammer H. Abbasi, George Loukas, and et al. 2019. "A Secure Occupational Therapy Framework for Monitoring Cancer Patients’ Quality of Life" Sensors 19, no. 23: 5258. https://doi.org/10.3390/s19235258

APA Style

Abdur Rahman, M., Rashid, M. M., Le Kernec, J., Philippe, B., Barnes, S. J., Fioranelli, F., Yang, S., Romain, O., Abbasi, Q. H., Loukas, G., & Imran, M. (2019). A Secure Occupational Therapy Framework for Monitoring Cancer Patients’ Quality of Life. Sensors, 19(23), 5258. https://doi.org/10.3390/s19235258

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