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

Wouter Speybrouck (u. a.)

ISBN 10: 384659167X / ISBN 13: 9783846591673

Published by LAP LAMBERT Academic Publishing, 2011

About this Item

Implementing real-time step detection algorithm in EyesWeb environment | Monitoring the gait of Parkinson's patients | Wouter Speybrouck (u. a.) | Taschenbuch | 96 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846591673 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 106671828

Bibliographic Details

• Title: Implementing real-time step detection algorithm in EyesWeb environment | Monitoring the gait of Parkinson's patients
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 384659167X
• ISBN 13: 9783846591673
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 161 grams
• Seller catalogs:
  • Bücher

About this title

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.

About the Author

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.