Exploiting Kinetic and Kinematic Data to Plot Cyclograms for Managing the Rehabilitation Process of BKAs by Applying Neural Networks
 Alcaide-Aguirre RE, Morgenroth DC, Ferris DP; Motor control and
learning with lower-limb myoelectric control in amputees. Journal of
Rehabilitation Research & Development (JRRD). 687-698. Volume 50,
Number 5, 2013.
 Cisi RRL, Cabral FE, J; Human Gait Analysed by an Artificial Neural
Network Model, Proceedings of the IV Brazilian Conference on Neural
Networks - IV Congresso Brasileiro de Redes Neuraispp. 148-151, July
 Kaczmarczyk K, Wit A, Krawczyk M, Zaborski J, Piłsudski J; Artificial
Neural Networks (ANN) Applied for Gait Classification and
Physiotherapy Monitoring in Post Stroke Patients, Chapter 16, Intech,
published in Artificial Neural Networks – Methodological Advances and
Biomedical Applications”, book edited by Suzuki K, 2011 Apr.
 Patrick JH, Keenan MA; Gait analysis to assist walking after stroke.
Lancet. 2007 Jan 27; 369(9558):256-7.
 Barton, JG; Lees, A; An application of neural networks for
distinguishing gait patterns on the basis of hip-knee joint angle
diagrams, Gait & Posture 5, 1997, 28-33.
 Rumelhart, DE; Geoffrey, EH; Williams, RJ; Learning Internal
Representations by Error Propagation. David E. Rumelhart, James L.
McClelland, and the PDP research group. (Editors), Parallel distributed
processing: Explorations in the microstructure of cognition, Volume 1:
Foundations. MIT Press, 1986.
 Press, WH; Teukolsky, SA; Vetterling, WT; Flannery, BP; Section
3.7.1. Radial Basis Function Interpolation, Numerical Recipes: The Art
of Scientific Computing (3rd ed.), New York: Cambridge University
Press, 2007, ISBN 978-0-521-88068-8.
 De Asha AR, Munjal R, Kulkarni J, Buckley JG; Walking speed related
joint kinetic alterations in trans-tibial amputees: impact of hydraulic
‘ankle’ damping. Journal of NeuroEngineering and Rehabilitation,
 Cappozzo A, Catini F, Croce UD, Leardini A: Position and orientation
in space of bones during movement: anatomical frame definition and
determination. Clinical Biomechanics 1995, 10(4):171–178.
 Karlsson D, Tranberg R: On skin movement artefact – resonant
frequencies of skin markers attached to the leg. Hum Mov Sci 1999,
 MathWorks. (2014). Improve Neural Network Generalization and Avoid
and-avoid-overfitting.html . Last accessed 19th Sep 2014.
 Vali AA, Ramesht MH, Mokarram M; The Comparison of RBF and
MLP Neural Networks Performance for the Estimation of Land
Suitability. Vali et al/ Journal of Environment, Vol. 02, Issue 03, pp. 74-