用机器人辅助画线测试，帮神经损伤患者康复训练并自动评估效果
Robotic Trail Maker Platform for Rehabilitation in Neurological Conditions: Clinical Use Cases
- 医生定制画线任务，患者用机械臂跟踪，系统实时记录表现
- 患者在机器人协助下速度显著提升，与健康人相比仍存在差距
- 可自动区分患者与健康人，还能预测患者运动轨迹
神经系统疾病患者需康复训练以恢复运动、视觉和认知能力。为缓解治疗师短缺问题并减轻其工作负担，本文提出一种基于临床画线测试的机器人康复平台。治疗师可为每位患者定制画线路径，患者通过机器人设备进行追踪，系统实时记录表现数据，并据此动态调整机器人辅助力度。该平台兼具评估与训练双重功能。在康复中心的验证中，患者使用平台时表现不及健康对照组，但机器人辅助显著提升了其完成速度。统计分析显示，辅助条件下患者速度有显著改善。此外，利用收集的数据训练神经网络，实现了对患者与健康人分类及运动轨迹预测。
原文摘要 · Abstract (English)
Patients with neurological conditions require rehabilitation to restore their motor, visual, and cognitive abilities. To meet the shortage of therapists and reduce their workload, a robotic rehabilitation platform involving the clinical trail making test is proposed. Therapists can create custom trails for each patient and the patient can trace the trails using a robotic device. The platform can track the performance of the patient and use these data to provide dynamic assistance through the robot to the patient interface. Therefore, the proposed platform not only functions as an evaluation platform, but also trains the patient in recovery. The developed platform has been validated at a rehabilitation center, with therapists and patients operating the device. It was found that patients performed poorly while using the platform compared to healthy subjects and that the assistance provided also improved performance amongst patients. Statistical analysis demonstrated that the speed of the patients was significantly enhanced with the robotic assistance. Further, neural networks are trained to classify between patients and healthy subjects and to forecast their movements using the data collected.
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