Title: Wearable wireless sensor network for the monitorisation of Parkinsonian patients using a novel mobility algorithm
Authors: Gonzalo Solas, Paul Bustamante, Karol Grandez, Erlantz Uriarte
Addresses: 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
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).
Keywords: wireless sensor networks; wearable WSNs; Parkinson|s disease; gait analysis; force sensors; network mobility; monitorisation; bioinformatics; wireless networks; body sensor networks; wearable computing; medical monitoring; patient gaits; healthcare technology.
DOI: 10.1504/IJCIBSB.2009.030649
International Journal of Computational Intelligence in Bioinformatics and Systems Biology, 2009 Vol.1 No.2, pp.193 - 207
Published online: 29 Dec 2009 *
Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article