Alladin

Natural Language Based Decision Support in Neuro-Rehabilitation

ResearchArea: 

BioRobotics Institute Role: 
Partner



Project Lifetime
Jan 2004 to Dec 2007

Funding Institutions: 

European Commission under the 6th Framework Programme

Research Program: 
IST Programme, Priority 2.3.1.11 - eHealth
Grant no.: 
IST-2002-507424
Dedicated website: 
 
Summary: 

The ALLADIN project focuses on the development of a user-friendly natural language based decision support software for neuro-rehabilitation, in particular in stroke. ALLADIN, if implemented provides an adequate and fast solution for a client centred practice, for discharge planning and for utilization of rehabilitation resources. This fulfils the social and political expectation of a substantial but honest cost cutting by measuring therapeutic efficiency in terms of mean quality-adjusted duration.


Partners: 

Arteveldehogeschool (B)

Language and Computing NV (B)

Budapest University of Technology and Economics (HU)

Faculty of Electrical Engineering, University of Ljubljana (SI)

Zenon SA, Robotics and Informatics (EL)

Multitel ASBL (B)

Trinity College Dublin (IRL)

Országos Orvosi Rehabilitációs Intézet (National Institute for Medical Rehabilitation) (HU)

Scuola Superiore Sant'Anna (I)

Università Campus Bio-Medico (I)

Media - pictures: 

 

 
 
Publications: 

[1] S. Mazzoleni, A. Toth, M. Munih, J. Van Vaerenbergh, G. Cavallo, S. Micera, P. Dario, E. Guglielmelli, “Whole-body isometric force/torque measurements for functional assessment in neuro-rehabilitation: platform design, development and verification”, Journal of NeuroEngineering and Rehabilitation 2009, 6:38
[2] S. Mazzoleni, J. Van Vaerenbergh, E. Stokes, G. Fazekas, P. Dario, E. Guglielmelli, "An ergonomic modular foot platform for isometric force/torque measurements in poststroke functional assessment: a pilot study", J Rehabil Res Dev. 2012;49(6):949–60. http://dx.doi.org/10.1682/JRRD.2011.03.0059
[3] S. Mazzoleni, M. Munih, J. Cinkelj, A. Toth, M. Jurak, J. Van Vaerenbergh, G. Cavallo, P. Soda, P. Dario, E. Guglielmelli, "Whole-body isometric force\torque measurements for functional assessment in neuro-rehabilitation: graphical user interface and data pre-processing techniques", Computer Methods and Programs in Biomedicine 2011 (in press).
[4] S. Mazzoleni, J. Van Vaerenbergh, A. Toth, M. Munih, E. Guglielmelli, P. Dario, “The ALLADIN diagnostic device: an innovative platform for assessing post-stroke functional recovery”, in “Rehabilitation Robotics”, Sashi S Kommu (Ed.), ISBN 978-3-902613-04-2, InTech, August 2007, pp. 535-554.
[5] S. Mazzoleni, J. Van Vaerenbergh, A. Toth, M. Munih, E. Guglielmelli, P. Dario, ALLADIN: A novel mechatronic platform for assessing post-stroke functional recovery, in Proc. 9th IEEE International Conference on Rehabilitation Robotics, 2005, Chicago, IL, USA, pp. 156-159 (Student Travel Award).
[6] J. Van Vaerenbergh, S. Mazzoleni, A. Toth, E. Guglielmelli, M. Munih, E. Stokes, G. Fazekas, S.D. Ruijter, Assessment of recovery at stroke patients by whole-body isometric force-torque measurements of functional tasks I: mechanical design of the device, in Proc. 3rd European Medical and Biological Engineering Conference, 2005, Prague, Czech Republic, IFMBE Proc. 2005 11(1), ISSN: 1727-1983, paper 1834.
[7] J. Cinkelj, M. Mihelj, D. Bacciu, M. Jurak, E. Guglielmelli, A. Toth, J. De Lafonteyne, J. Verschelde, S. Mazzoleni, J. Van Vaerenbergh, S. D. Ruijter, M. Munih, Assessment of stroke patients by whole-body isometric force-torque measurements II: software design of the ALLADIN Diagnostic Device, in Proc. 3rd European Medical and Biological Engineering Conference, 2005, Prague, Czech Republic, IFMBE Proc. 2005 11(1), ISSN: 1727-1983, paper 1790.
[8] S. Mazzoleni, S. Micera, F. Romagnolo, P. Dario, E. Guglielmelli, An Ergonomic Dynamometric Foot Platform for Functional Assessment in Rehabilitation, in Proc. 1st IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006, Pisa, Italy, pp. 619-624.
[9] S. Mazzoleni, G. Cavallo, J. Cinkelj, M. Jurak, J. Van Vaerenbergh, D. Campolo, E. Guglielmelli, P. Dario, Towards application of a mechatronic platform for whole-body isometric force-torque measurements to functional assessment in neuro-rehabilitation, in Proc. IEEE International Conference on Robotics and Automation, 2007, Rome, Italy, pp. 1535-1540.
[10] G. Turchetti, B. Labella, S. Bellelli, S. Cannizzo, I. Palla, S. Mazzoleni, S. Petroni, S. Sterzi, E. Guglielmelli, Innovation in rehabilitation technology: technological opportunities and socio-economic implications, in Proc. 6th International Conference on the Management of Healthcare & Medical Technology, 2007, Pisa, Italy, pp. 89-91.
[11] S. Petroni, S. Bellelli, S. Cannizzo, I. Palla, S. Mazzoleni, B. Labella, S. Sterzi, E. Guglielmelli, G. Turchetti, Early assessment of neuro – rehabilitation technology: a case study, in Proc. 6th International Conference on the Management of Healthcare & Medical Technology, 2007, Pisa, Italy, pp.74-77.
[12] P. Soda, S. Mazzoleni, G. Cavallo, E. Guglielmelli, A supervised pattern recognition approach for human movement onset detection, in Proc. 21th IEEE International Symposium on Computer-Based Medical Systems , 2008, Jyväskylä, Finland, pp. 566-571.
[13] G. Turchetti, B. Labella, S. Bellelli, S. Cannizzo, I. Palla, S. Mazzoleni, S. Petroni, S. Sterzi, E. Guglielmelli, “Innovation in rehabilitation technology: technological opportunities and socioeconomic implications – a theoretical model”, Int. J. of Healthcare Technology and Management 2009; 10(4/5): 245 – 261.
[14] S. Petroni, S. Bellelli, S. Cannizzo, I. Palla, S. Mazzoleni, B. Labella, S. Sterzi, E. Guglielmelli, G. Turchetti, “Early assessment of neuro – rehabilitation technology: a case study”, Int J Biomed Eng Technol 2010; vol. 4, no.3 pp. 232 – 244.
[15] P. Soda, S. Mazzoleni, G. Cavallo, E. Guglielmelli, G. Iannello, “Human movement onset detection from isometric force\torque measurements via a supervised pattern recognition approach”, Artificial Intelligence in Medicine 2010, vol. 50, issue 1, pp. 55-61.


Meet the team