Intelligent monitoring: diagnosis and rehabilitation of stroke patients

智能监测：脑卒中患者的诊断与康复

• 批准号: 336975-2006
• 负责人: Glasgow, Janice
• 金额: $ 13.56万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Strategic Projects - Group
• 财政年份: 2008
• 资助国家: 加拿大
• 起止时间: 2008-01-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=399115
• 关键词: Intelligent; monitoring; diagnosis; rehabilitation; stroke

Stroke is one of the most common forms of neurological disability, causing a loss of independence and a need for substantial physical and financial support. Assessment of sensory and motor impairment plays a crucial role in all facets of patient care. Current approaches for identifying impairment involve subjective rating systems that lack sensitivity and reliability. Our primary goal is to integrate robotic technology with intelligent systems for the assessment and treatment of stroke patients. We will design, develop and evaluate advanced software tc objectively quantify sensorimotor function and to assist in the diagnosis of impairment, monitoring of progress, and planning of rehabilitation therapy. As well, we will systematically study the relationship between sensory and motor control in our subjects. The proposed research will involve seven graduate students who will receive advanced training in the interdisciplinary field of neuroscience.

中风是最常见的神经系统残疾形式之一，导致失去独立性，需要大量的身体和经济支持。感觉和运动障碍的评估在患者护理的各个方面都起着至关重要的作用。目前识别减值的方法涉及缺乏敏感性和可靠性的主观评级系统。我们的主要目标是将机器人技术与智能系统相结合，用于中风患者的评估和治疗。我们将设计，开发和评估先进的软件，以客观地量化感觉运动功能，并协助诊断障碍，监测进展和规划康复治疗。同时，我们将系统地研究我们的主题中感觉和运动控制之间的关系。拟议的研究将涉及七名研究生，他们将接受神经科学跨学科领域的高级培训。