Wearable wireless sensor network for the monitorisation of Parkinsonian patients using a novel mobility algorithm

Authors:
Gonzalo Solas;Paul Bustamante;Karol Grandez;Erlantz Uriarte
Affiliations:
CEIT and Tecnun, University of Navarra, Manuel de Lardizabal 15, 20018 San Sebastian, Spain.;CEIT and Tecnun, University of Navarra, Manuel de Lardizabal 15, 20018 San Sebastian, Spain.;CEIT and Tecnun, University of Navarra, Manuel de Lardizabal 15, 20018 San Sebastian, Spain.;CEIT and Tecnun, University of Navarra, Manuel de Lardizabal 15, 20018 San Sebastian, Spain
Venue:
International Journal of Computational Intelligence in Bioinformatics and Systems Biology
Year:
2009

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Abstract

Recent advances in the field of wireless sensor networks (WSN) include the creation of a new kind of these networks, called body sensor networks (BSN). These systems have been proven to be an enabling technology for the application domain of unobtrusive medical monitoring. In this paper a novel algorithm is proposed, which covers one of the main technological lacks regarding BSN: the mobility of the network itself. These algorithms have been proven using a BSN applied to the monitoring of the gait of patients affected by Parkinson disease (PD). This work is being developed with the participation of the University Hospital of Navarra (CUN).