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Journal of Neuroengineering and Rehabilitation|February 7, 2008
A neural tracking and motor control approach to improve rehabilitation of upper limb movementsMichela Goffredo, Ivan Bernabucci, Maurizio Schmid, et al.Medical Engineering & Physics|May 19, 2015
Varying behavior of different window sizes on the classification of static and dynamic physical activities from a single accelerometerBenish Fida, Ivan Bernabucci, Daniele Bibbo, et al.Frontiers in Neurorobotics|December 2, 2009
Biologically inspired modelling for the control of upper limb movements: from concept studies to future applicationsSilvia Conforto, Ivan Bernabucci, Giacomo Severini, et al.Sensors (Basel, Switzerland)|September 18, 2015
Pre-Processing Effect on the Accuracy of Event-Based Activity Segmentation and Classification through Inertial SensorsBenish Fida, Ivan Bernabucci, Daniele Bibbo, et al.Plos One|February 16, 2018
Correction: Gait parameters are differently affected by concurrent smartphone-based activities with scaled levels of cognitive effortCarlotta Caramia, Ivan Bernabucci, Carmen D'Anna, et al.Human Movement Science|September 25, 2013
Inter-individual variability of forces and modular muscle coordination in cycling: a study on untrained subjectsCristiano De Marchis, Maurizio Schmid, Daniele Bibbo, et al.Plos One|October 13, 2017
Gait parameters are differently affected by concurrent smartphone-based activities with scaled levels of cognitive effortCarlotta Caramia, Ivan Bernabucci, Carmen D'Anna, et al.Journal of Neuroengineering and Rehabilitation|September 5, 2007
A biologically inspired neural network controller for ballistic arm movementsIvan Bernabucci, Silvia Conforto, Marco Capozza, et al.Computational and Mathematical Methods in Medicine|December 31, 2013
SVM versus MAP on accelerometer data to distinguish among locomotor activities executed at different speedsMaurizio Schmid, Francesco Riganti-Fulginei, Ivan Bernabucci, et al.Pageof 1