Reference : An Autonomous Wireless Body Area Network Implementation Towards IoT Connected Healthc...
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/2268/227705
An Autonomous Wireless Body Area Network Implementation Towards IoT Connected Healthcare Applications
English
Wu, T. [Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC 3800, Australia]
Wu, F. [Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC 3800, Australia]
Redouté, Jean-Michel mailto [Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes microélectroniques intégrés >]
Yuce, M. R. [Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC 3800, Australia]
2017
IEEE Access
Institute of Electrical and Electronics Engineers Inc.
5
11413-11422
Yes (verified by ORBi)
International
21693536
[en] Bluetooth ; Internet of Things ; Energy harvesting ; Health care ; Internet of things ; Maximum power point trackers ; Patient monitoring ; Sensor nodes ; Solar energy ; Temperature measurement ; Wearable technology ; Wireless local area networks (WLAN) ; Wireless networks ; Wireless telecommunication systems ; Body Area Network ; Maximum Power Point Tracking ; Solar panels ; Wireless body area network ; Wireless communications ; Wearable sensors
[en] Internet of Things (IoT) is a new technological paradigm that can connect things from various fields through the Internet. For the IoT connected healthcare applications, the wireless body area network (WBAN) is gaining popularity as wearable devices spring into the market. This paper proposes a wearable sensor node with solar energy harvesting and Bluetooth low energy transmission that enables the implementation of an autonomous WBAN. Multiple sensor nodes can be deployed on different positions of the body to measure the subject's body temperature distribution, heartbeat, and detect falls. A web-based smartphone application is also developed for displaying the sensor data and fall notification. To extend the lifetime of the wearable sensor node, a flexible solar energy harvester with an output-based maximum power point tracking technique is used to power the sensor node. Experimental results show that the wearable sensor node works well when powered by the solar energy harvester. The autonomous 24 h operation is achieved with the experimental results. The proposed system with solar energy harvesting demonstrates that long-term continuous medical monitoring based on WBAN is possible provided that the subject stays outside for a short period of time in a day. © 2016 IEEE.
http://hdl.handle.net/2268/227705
10.1109/ACCESS.2017.2716344

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