tailieunhanh - báo cáo hóa học: "Performance adaptive training control strategy for recovering wrist movements in stroke patients: a preliminary, feasibility study"

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:Performance adaptive training control strategy for recovering wrist movements in stroke patients: a preliminary, feasibility study | Journal of NeuroEngineering and Rehabilitation BioMed Zentral Research Performance adaptive training control strategy for recovering wrist movements in stroke patients Open Access a preliminary feasibility study Lorenzo Masia 1 Maura Casadio2 Psiche Giannoni3 Giulio Sandini1 2 and Pietro Morasso2 Addresses 1Robotics Brain and Cognitive Science Dept Italian Institute of Technology IIT Genoa Italy 2Dept of Informatics Systems and Telematics University of Genova Italy and 3ART Rehabilitation and Educational Center srl Genoa Italy E-mail Lorenzo Masia - Maura Casadio - Psiche Giannoni - psichegi@ Giulio Sandini - Pietro Morasso - Corresponding author Published 7 December 2009 Received 24 March 2009 Journal of NeuroEngineering and Rehabilitation 2009 6 44 doi 1743-0003-6-44 Accepted 7 December 2009 This article is available from http content 6 1 44 2009 Masia 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 In the last two decades robot training in neuromotor rehabilitation was mainly focused on shoulder-elbow movements. Few devices were designed and clinically tested for training coordinated movements of the wrist which are crucial for achieving even the basic level of motor competence that is necessary for carrying out ADLs activities of daily life . Moreover most systems of robot therapy use point-to-point reaching movements which tend to emphasize the pathological tendency of stroke patients to break down goal-directed movements into a number of jerky sub-movements. For this reason we designed a wrist robot with a range of motion comparable to that of normal subjects and