Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Quantifying kinematics of purposeful movements to real, imagined, or absent functional objects: Implications for | Journal of NeuroEngineering and Rehabilitation BioMed Central Research Open Access Quantifying kinematics of purposeful movements to real imagined or absent functional objects Implications for modelling trajectories for robot-assisted ADL tasks Kimberly J Wisneski41 3 4 and Michelle J Johnson 41 2 3 4 Address 1Marquette University Dept. of Biomedical Engineering Olin Engineering Center Milwaukee WI USA 2Medical College of Wisconsin Dept. of Physical Medicine Rehabilitation 9200 W. Wisconsin Ave Milwaukee WI 53226 USA 3Clement J. Zablocki VA Dept. of Physical Medicine Rehabilitation 5000 National Ave Milwaukee WI USA and 4The Rehabilitation Robotics Research and Design Lab 5000 National Ave Milwaukee WI USA Email Kimberly J Wisneski - Michelle J Johnson - mjjohnso@ Corresponding author fEqual contributors Published 23 March 2007 Received 14 May 2006 Journal of NeuroEngineering and Rehabilitation 2007 4 7 doi 1743-0003-4-7 This article is available from http content 4 1 7 Accepted 23 March 2007 2007 Wisneski and Johnson 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 Robotic therapy is at the forefront of stroke rehabilitation. The Activities of Daily Living Exercise Robot ADLER was developed to improve carryover of gains after training by combining the benefits of Activities of Daily Living ADL training motivation and functional task practice with real objects with the benefits of robot mediated therapy repeatability and reliability . In combining these two therapy techniques we seek to develop a new model for trajectory generation that will support functional movements to real objects during robot training. We studied natural movements to .
