Implementing real-time step detection algorithm in EyesWeb environment: Monitoring the gait of Parkinson's patients - Couverture souple

Speybrouck, Wouter; Standaert, Jonas

 
9783846591673: Implementing real-time step detection algorithm in EyesWeb environment: Monitoring the gait of Parkinson's patients
Couverture souple
ISBN 10 : 384659167X ISBN 13 : 9783846591673
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Many methods are used for measuring and defining the presence of Parkinson's disease. One important aspect of the disease is gait disturbance, which can be discovered in the early stages of the disease. This disturbance can be measured using three dimensional accelerometers, which are present in the Shimmer device. These devices are light weighted wireless sensor nodes which can be easily mounted on the patient's limbs. Data captured by the device can be streamed to a computer for real-time processing. The Matlab algorithms for step detection are converted to C++ code so they can be used in the EyesWeb environment. Whereas Matlab code can only serve post-processing, the Shimmer's Bluetooth datastream can now be processed in real-time, since the EyesWeb environment supports real-time execution. Hence the Visual Studio environment is needed to design the algorithms into C++ based EyesWeb blocks. This real-time detection algorithm can be applied easily in small and inexpensive lab environments to calculate and obtain the Parkinson's disease severity parameters. Hereby conclusions can be made to prevent the progress of the disease and to treat Parkinson's disorder in early stages.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Many methods are used for measuring and defining the presence of Parkinson's disease. One important aspect of the disease is gait disturbance, which can be discovered in the early stages of the disease. This disturbance can be measured using three dimensional accelerometers, which are present in the Shimmer device. These devices are light weighted wireless sensor nodes which can be easily mounted on the patient's limbs. Data captured by the device can be streamed to a computer for real-time processing. The Matlab algorithms for step detection are converted to C++ code so they can be used in the EyesWeb environment. Whereas Matlab code can only serve post-processing, the Shimmer's Bluetooth datastream can now be processed in real-time, since the EyesWeb environment supports real-time execution. Hence the Visual Studio environment is needed to design the algorithms into C++ based EyesWeb blocks. This real-time detection algorithm can be applied easily in small and inexpensive lab environments to calculate and obtain the Parkinson's disease severity parameters. Hereby conclusions can be made to prevent the progress of the disease and to treat Parkinson's disorder in early stages.

Biographie de l'auteur

Wouter and Jonas were both students industrial engineering, Wouter with emphasis on IT and Jonas on Electronics. They graduated with distinction. Three and a half years of this education was performed in their home university in Ghent (Belgium). This master's thesis was written in Karlskrona (Sweden) on an abroad student program for half a year.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
384659167X
ISBN 13 
9783846591673
Reliure
Broché
Nombre de pages
96
Coordonnées du fabricant
non disponible
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