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High resolution wireless body area network with statistically synchronized sensor data for tracking pulse wave velocity

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2 Author(s)
Kejia Li ; Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA ; Steve Warren

Wireless body area networks (WBANs) will take on more diverse forms in terms of their sensor combinations and communication protocols as their presence is extended to a greater number of monitoring scenarios. This paper presents an application layer protocol that solves issues caused by sensor nodes that must compete for high speed, real-time communication with the receiver. Such applications emphasize the delivery of large amounts of raw data from different sensor nodes in a time-synchronized manner, rather than channels that experience intermittent operation. An example of tracking pulse wave velocity (PWV) is introduced in this paper, where high-precision PWVs are estimated with the help of timeline recovery and feature extraction processes in MATLAB.

Published in:

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Date of Conference:

Aug. 28 2012-Sept. 1 2012