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Journal of Physical Therapy and Sports Medicine
Volume 1, Issue 1
Euro Physiotherapy 2017
Notes:
Page 50
December 07-08, 2017 Rome, Italy
4
th
Euro-Global Physiotherapy Congress 2017
M-therapy: a multi-sensor framework for
in-home therapy management: A therapy of
things perspective
Mohamed Abdur Rahman
and
Madinah Al Munawwarah
University of Prince Mugrin, Saudi Arabia
I
nternet of Things (IoT) is assumed to provide e-Health
services by incorporating social networks and the IoT.
Although much development in therapy monitoring has
been observed recently, little advancement has been
achieved in the domain of in-home therapy. Existing
industrial and medical solutions require complex and
expensive hardware and software that are impractical for
home use. Another challenge for in-home therapy is that
therapists cannot confirm whether patients are conducting
the therapy correctly and for the prescribed number
of times. To address these challenges, we propose the
m-Therapy framework, in which multiple gesture-tracking
sensors and environmental sensors are used to collect
therapy and ambient data. The m-Therapy framework
compresses the collected data and uploads to a big data
server. The framework uses a model of the therapy to guide
a patient performing therapy exercises outside medical
institutions and even at home. Ambient IoT sensors can
help maintain an appropriate ambient environment, which
is generally maintained at the medical institutions. We
have developed analytics that can provide live or statistical
kinematic data, including rotational and angular range of
motion of the joints of interest, and ambient environmental
data, which can be shared with therapists and caregivers.
We present our findings which show that the proposed
m-Therapy monitoring system can be deployed in real-life
scenarios.
Biography
Mohamed Abdur Rahman is an Assistant Professor in the Department
of Computer Science, University of Prince Muqrin (UPM), Madinah Al
Munawwarah, and Kingdom of Saudi Arabia. He is currently working as the
Chairman in Forensic Computing and Cyber Security (FCCS) Departments
of UPM. He received his Masters and PhD degrees in Electrical and
Computer Engineering from the University of Ottawa, Canada in 2005 and
2010 respectively. His research interests include serious games, cloud and
multimedia for healthcare, IoT, smart city, secure systems, multimedia big
data, and next generation media. He has authored and co-authored around
98 publications including refereed IEEE/ACM/Springer/Elsevier journals,
conference papers, and book chapters. He has seven US patents on
Physio Therapy and more than 20 are pending. He has received more than
12 million SAR as research grant. He is the founding Director of Advanced
Media Laboratory. He has presented his works in more than 20 different
ACM and IEEE International Conferences. He has served as a Member of
the organizing and technical committees of several international conferences
and workshops. Recently, he received three best paper awards from ACM and
IEEE conferences. He is a Member of both IEEE and ACM.
m.arahman@upm.edu.saMohamed Abdur Rahman et al., J Phys Ther Sports Med 2017