Abstract
Currently, the changes in functional capacity and performance of stroke patients after returning home from a rehabilitation hospital is unknown to a physician, having no objective information about the intensity and quality of a patient’s daily-life activities. Therefore, there is a need to develop and validate an unobtrusive and modular system for objectively monitoring the stroke patient’s upper and lower extremity motor function in daily-life activities and in home training. This is the main goal of the European FP7 project named “INTERACTION”. A complete full body sensing system is developed, whicj integrates Inertial Measurement Units (IMU), Knitted Piezoresistive Fabric (KPF) strain sensors, KPF goniometers, EMG electrodes and force sensors into a modular sensor suit designed for stroke patients. In this paper, we describe the complete INTERACTION sensor system. Data from the sensors are captured wirelessly by a software application and stored in a remote secure database for later access and processing via portal technology. Data processing includes a 3D full body reconstruction by means of the Xsens MoCap Engine, providing position and orientation of each body segment (poses). In collaboration with clinicians and engineers, clinical assessment measures were defined and the question of how to present the data on the web portal was addressed. The complete sensing system is fully implemented and is currently being validated. Patients measurements start in June 2014.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Berg, K.O., Wood-Danphinee, S., Williams, J.T.: Measuring balance in the elderly: preliminary development of an instrument. Physiotherapy 41(6), 304–311 (1989)
European Data Format: A simple and flexible format for exchange and storage of multichannel biological and physical signals (2014). http://www.edfplus.info/ 05 June 2014
Highsoft Solutions AS: Highcharts JS, interactive JavaScript charts for your website (2014). http://www.highcharts.com/ 05 June 2014
INTERACTION: Official INTERACTION project website (2014). http://www.interaction4stroke.eu 30 September 2013
Interlink Electronics Inc.: (2014). http://www.interlinkelectronics.com 05 June 2014
Liferay, Inc: Liferay delivers open source enterprise solutions for portals, publishing, content, and collaboration. (2013). http://www.liferay.com/ 30 September 2013
Matlab: The MathWorks Inc., Natick, Massachusetts, United States (2014)
MatlabControl: Matlabcontrol API for JAVA. (2013) http://code.google.com/p/matlabcontrol/ 30 September 2013
Pawar, P., Jones, V., Van Beijnum, B.J.F., Hermens, H.: A framework for the comparison of mobile patient monitoring systems. J. Biomed. Inform. 45(3), 544–556 (2012)
Roetenberg, D., Luinge, H., Slycke, P., Xsens MVN: Full 6DOF Human Motion Tracking Using Miniature Inertial Sensors. Xsens Motion Technologies BV. Technical Report (2009)
Sumner, B., Mancuso, C., Paradiso, R.: Performances evaluation of textile electrodes for EMG remote measurements. In: Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. pp. 6510–6513 (2013)
Tekscan, Inc.: FlexiForce® (2014). http://www.tekscan.com/flexiforce.html 05 June 2014
Twitter Bootstrap: Sleek, intuitive, and powerful front-end framework for faster and easier web development (2014). http://getbootstrap.com/ 05 June 2014
Vicon Motion Systems Ltd. Oxford, England (2014)
Xsens Technologies B.V: MTW Development KIT Lite (2014). http://www.xsens.com/en/mtw-dk-lite 05 June 2014
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Klaassen, B. et al. (2015). A Full Body Sensing System for Monitoring Stroke Patients in a Home Environment. In: Plantier, G., Schultz, T., Fred, A., Gamboa, H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2014. Communications in Computer and Information Science, vol 511. Springer, Cham. https://doi.org/10.1007/978-3-319-26129-4_25
Download citation
DOI: https://doi.org/10.1007/978-3-319-26129-4_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-26128-7
Online ISBN: 978-3-319-26129-4
eBook Packages: Computer ScienceComputer Science (R0)