Intelligent systems for the assessment, diagnosis and treatment of stroke patients

我的建议旨在为中风患者的感觉运动评估提供新的知识和技术。我建议增加对计算机和神经科学跨学科领域学生的培训，包括机器人和计算机技术的研究，这些研究将应用于中风患者的诊断、监测和治疗。 该研究将涉及与一家新兴公司BKIN Technologies合作，开发支持其机器人技术的软件。研究结果将有助于临床医生为中风患者制定康复治疗计划。 具体而言，我计划：1）开发计算工具，分析，可视化和帮助解释中风患者的大量实时，机器人生成的诊断数据; 2）应用智能系统来监测和帮助中风患者的感觉运动障碍的诊断;和3）开发一个自动推理系统，根据先前的检索和调整，为中风患者计划最佳的康复治疗。治疗计划。 拟议的研究是一个新的机器人设备与“智能”系统的集成，以增加一个新的维度的机器人的适用性。这种集成对于我们的技术作为自动化临床评估工具的增强、接受和使用至关重要。这项研究的主要成果将是提高中风患者的生活质量，这是由于提高了评估的准确性和改善了康复治疗的规划。 它将使加拿大受益，使所产生的技术商业化，并培训高素质的人员。总共有4名博士和4名硕士学生将接受数据挖掘，数据管理和知识发现领域的特定技能培训。

My proposal is aimed at generating new knowledge and technology for the sensory-motor assessment of stroke patients. I propose to increase the training of students in the interdisciplinary areas of computing and neuroscience, encompassing research in robotics and computing that will be applied to the diagnosis, monitoring and treatment of stroke patients. The research will involve collaboration with an emerging company, BKIN Technologies, in the development of software to support their robotic technology. Results of the research will aid clinicians in the planning of rehabilitation therapy for stroke patients. In particular, I plan to: 1) develop computational tools that analyze, visualize and aid in the interpretation of large amounts of real-time, robot-generated diagnosistic data for stroke patients; 2) apply intelligent systems to monitor and assist in the diagnosis of sensory-motor impairment in stroke patients; and 3) develop an automated reasoning system to plan optimal rehabilitation therapy for stroke patients based on the retrieval and adaptation of previous treatment plans. The proposed research is an integration of a novel robotic device with "intelligent" systems to add a new dimension to the applicability of the robot. This integration is crucial for the enhancement, acceptance, and use of our technology as an automated clinical assessment tool. A primary outcome of the research will be an improved quality of life for stroke patients, as a result of increased accuracy in assessment and improved planning of rehabilitation therapy. It will benefit Canada through commercialization of the resulting technologies, and training of highly qualified personnel. In total, 4 PhD and 4 MSc students will be trained with specific skills in the areas of data mining, data management and knowledge discovery.