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Sensors 2015, 15(2), 3379-3408; doi:10.3390/s150203379

A New mHealth Communication Framework for Use in Wearable WBANs and Mobile Technologies

1
Electrical and Computer Engineering Department, Texas A&M University, Doha, PO Box 23874, Qatar
2
Qatar Mobility Innovations Center (QMIC), Qatar Science and Technology Park, Doha, PO Box 210531, Qatar
*
Author to whom correspondence should be addressed.
Received: 15 October 2014 / Revised: 10 November 2014 / Accepted: 23 December 2014 / Published: 3 February 2015
(This article belongs to the Special Issue Wireless Sensor Network for Pervasive Medical Care)
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Abstract

Driven by the development of biomedical sensors and the availability of high mobile bandwidth, mobile health (mHealth) systems are now offering a wider range of new services. This revolution makes the idea of in-home health monitoring practical and provides the opportunity for assessment in “real-world” environments producing more ecologically valid data. In the field of insomnia diagnosis, for example, it is now possible to offer patients wearable sleep monitoring systems which can be used in the comfort of their homes over long periods of time. The recorded data collected from body sensors can be sent to a remote clinical back-end system for analysis and assessment. Most of the research on sleep reported in the literature mainly looks into how to automate the analysis of the sleep data and does not address the problem of the efficient encoding and secure transmissions of the collected health data. This article reviews the key enabling communication technologies and research challenges for the design of efficient mHealth systems. An end-to-end mHealth system architecture enabling the remote assessment and monitoring of patient’s sleep disorders is then proposed and described as a case study. Finally, various mHealth data serialization formats and machine-to-machine (M2M) communication protocols are evaluated and compared under realistic operating conditions. View Full-Text
Keywords: mobile health; body area networks; remote health monitoring; insomnia assessment; machine-to-machine (M2M) protocols; data serialization formats mobile health; body area networks; remote health monitoring; insomnia assessment; machine-to-machine (M2M) protocols; data serialization formats
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Hamida, S.T.-B.; Hamida, E.B.; Ahmed, B. A New mHealth Communication Framework for Use in Wearable WBANs and Mobile Technologies. Sensors 2015, 15, 3379-3408.

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