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Mobile Data Modeling in Human Body Network "Bell's Palsy Case Study"

Authors:
Hanen Bouali
Jalel Akaichi

Keywords: Bell’s palsy recovery; Matching Algorithm; Moving Object; Visualization

Abstract:
The mysterious Path physiology of Bell's palsy sometimes prevents doctors to understand this disease. A fine diagnostic and an enhanced recovery surveillance are crucial for physicians to deeply be aware of the disease mechanisms. Moreover, the analyses of the patients' states may lead to the proposition of new strategies to cure the illness. This paper attempts to supervise the patients’ state evolution through the modeling of the facial nerve stream as a moving object circulating into the facial nerve “network”. Its progression through this latter, gives indication about patients’ recovery advancement and the disease behavior. We also propose, in this work, an algorithm based on graph matching concepts and a visualization algorithm able to show the recovery process in time. As a result, we obtain a graph, tracking the facial nerve stream. Then, physicians can observe the recovery progress. Hence, identifing the occurrence of conduction problem preventing it.

Pages: 33 to 40

Copyright: Copyright (c) IARIA, 2012

Publication date: October 21, 2012

Published in: conference

ISSN: 2308-4553

ISBN: 978-1-61208-243-1

Location: Venice, Italy

Dates: from October 21, 2012 to October 26, 2012