Rozario Sylvester Vijay, Housman Sarah, Kovic Mark, Kenyon Robert V, Patton James L
University of Illinois at Chicago, Illinois 60607, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:1151-6. doi: 10.1109/IEMBS.2009.5333875.
Recent research has suggested that enhanced retraining for stroke patients using haptics (robotic forces) and graphics (visual display) to generate a practice environment that can artificially enhance error rather than reducing it, can stimulate new learning and foster accelerated recovery. We present an evaluation of early results of this novel post-stroke robotic-aided therapy trial that incorporates these ideas in a large VR system and simultaneously employs the patient, the therapist, and the technology to accomplish effective therapy.
最近的研究表明，对中风患者进行强化再训练，利用触觉（机器人力）和图形（视觉显示）来营造一个能够人为增加而非减少错误的练习环境，可以刺激新的学习并促进加速康复。我们展示了这项新型中风后机器人辅助治疗试验的早期结果评估，该试验将这些理念融入一个大型虚拟现实系统中，同时让患者、治疗师和技术共同发挥作用以实现有效的治疗。
