Stroke is a medical condition that can affect motor function, particularly dynamic balance. Biofeedback can aid in rehabilitation procedures which help patients to regain lost motor activity and recover functionality. In this work, we are presenting a robotic smart-vest device that can analyze Inertial Measurement Unit (IMU) data and assist in rehabilitation procedures by providing timed feedback in the form of vibrotactile stimulation. Information provided by principal caregivers and patients in the form of surveys and interviews, is used to hypothesize potential clinical causes and to derive alternative three alternative clinical modalities: Artificial Vestibular Feedback, Gait Pacemaker and Risk-Predictor.
翻译:在这项工作中,我们正在展示一个机器人智能微粒装置,可以分析惰性测量股的数据,并通过以振动性活性刺激的形式提供有时间的反馈,协助康复程序;主要护理人员和病人以调查和访谈形式提供的信息被用来推断潜在的临床原因,并得出其他三种替代临床模式:人工活性反应、Gait Pacemaker和风险预测。