Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: A neural tracking and motor control approach to improve rehabilitation of upper limb movements | Journal of NeuroEngineering and Rehabilitation BioMed Central Open Access A neural tracking and motor control approach to improve rehabilitation of upper limb movements Michela Goffredo Ivan Bernabucci Maurizio Schmid and Silvia Conforto Address Dipartimento di Elettronica Applicata Università degli Studi Roma TRE Roma Italy Email Michela Goffredo - goffredo@ Ivan Bernabucci - Maurizio Schmid - schmid@ Silvia Conforto - conforto@ Corresponding author Published 5 February 2008 Received 4 January 2008 Journal of NeuroEngineering and Rehabilitation 2008 5 5 doi 86 1743-0003-5-5 Accepted 5 February 2008 This article is available from http content 5 1 5 2008 Goffredo et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Restoration of upper limb movements in subjects recovering from stroke is an essential keystone in rehabilitative practices. Rehabilitation of arm movements in fact is usually a far more difficult one as compared to that of lower extremities. For these reasons researchers are developing new methods and technologies so that the rehabilitative process could be more accurate rapid and easily accepted by the patient. This paper introduces the proof of concept for a new non-invasive FES-assisted rehabilitation system for the upper limb called smartFES sFES where the electrical stimulation is controlled by a biologically inspired neural inverse dynamics model fed by the kinematic information associated with the execution of a planar goal-oriented movement. More specifically this work details two steps of the proposed system an ad hoc markerless motion analysis algorithm for the estimation of kinematics and a .
