作者: Mahya Shahbazi , Seyed Farokh Atashzar , Mahdi Tavakoli , Rajni V. Patel
DOI: 10.1109/TMECH.2016.2551725
关键词: Trajectory 、 Adaptation (computer science) 、 Circle criterion 、 Hemispatial neglect 、 Robot kinematics 、 Hemiparesis 、 Simulation 、 Computer science 、 Artificial intelligence 、 Physical medicine and rehabilitation 、 Rehabilitation 、 Robotics
摘要: This paper presents a therapist-in-the-loop framework for robotics-assisted mirror rehabilitation integrated with adaptive assist-as-needed therapy (ANT) that is adjusted based on the impairment level of patient's affected limb. The framework, which designed patients hemiparesis and/or hemispatial neglect, uses functional limb as medium to transfer therapeutic training from therapist impaired (PIL). allows patient use his/her adjust desired trajectory generated by if painful or uncomfortable PIL. In order realize patient-targeted therapy, two motor-function assessment metrics, performance symmetry and guidance, are proposed, providing real time, task-independent, objective PIL's motor deficiency. An adaptation law also presented intensity delivered in time aforementioned estimation Closed-loop system stability has been investigated presence communication delays facilitate tele/in-home rehabilitation. For this purpose, combination Circle Criterion Small-Gain theorem applied account both time-varying ANT. Results experiments investigate proposed reported.