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Wearable Internet of Things - from Human Activity Tracking to Clinical Integration

Lee, GM and Kumari, P and Lopez-Benitez, M and Kim, TS and Minhas, AS Wearable Internet of Things - from Human Activity Tracking to Clinical Integration. In: The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 11 July 2017 - 15 July 2017, Jeju Island, Korea. (Accepted)

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Abstract

Wearable devices for human activity tracking have been rapidly emerging. Most of them are capable of sending health statistics to smartphones, smartwatches or smart bands. However, they only provide the data for individual analysis and their data is not integrated into clinical practice. Leveraging on the Internet of Things (IoT), edge and cloud computing technologies, we propose an architecture which is capable of providing cloud based clinical services using human activity data. Such services could supplement the shortage of staff in primary healthcare centers thereby reducing the burden on healthcare service providers. The enormous amount of data created from such services could also be utilized for planning future therapies by studying recovery cycles of existing patients. We provide a prototype based on our architecture and discuss its salient features. We also provide use cases of our system in personalized and home based healthcare services. We propose an International Telecommunication Union based standardization (ITU-T) for our design and discuss future directions in wearable IoT.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Wearable Internet of Things
Subjects: Q Science > QA Mathematics > QA76 Computer software
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Computer Science
Publisher: IEEE
Date Deposited: 09 May 2017 10:15
Last Modified: 09 May 2017 10:15
URI: http://researchonline.ljmu.ac.uk/id/eprint/6389

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