Experimental Study on Upper-Limb Rehabilitation Training of Stroke Patients Based on Adaptive Task Level: A Preliminary Study

• Published in: BioMed research international Vol. 2019; no. 2019; pp. 1 - 9
• Main Authors: Duan, Suolin, Wang, Simei, Song, Aiguo, Pan, Lizheng
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2019; Hindawi; John Wiley & Sons, Inc
• Subjects: Adult; Biomedical research; Brain research; Control algorithms; Design; Disability; Feedback; Female; Humans; Male; Methods; Middle Aged; Patients; Physical Therapy Modalities; Recovery of Function; Rehabilitation; Robot dynamics; Robotics; Robots; Stroke; Stroke - physiopathology; Stroke - therapy; Stroke Rehabilitation - methods; Systematic review; Training; Upper Extremity - physiopathology; Virtual reality; Visual perception; China
• ISSN: 2314-6133; 2314-6141; 2314-6141
• DOI: 10.1155/2019/2742595

During robot-aided motion rehabilitation training, inappropriate difficulty of the training task usually leads the subject becoming bored or frustrated; therefore, the difficulty of the training task has an important influence on the effectiveness of training. In this study, an adaptive task level strategy is proposed to intelligently serve the subject with a task of suitable difficulty. To make the training task attractive and continuously stimulate the patient's training enthusiasm, diverse training tasks based on grabbing game with visual feedback are developed. Meanwhile, to further enhance training awareness and inculcate a sense of urgency, a dynamic score feedback method is used in the design of the training tasks. Two types of experiments, functional and clinical rehabilitation experiments, were performed with a healthy adult and two recruited stroke patients, respectively. The experimental results suggest that the proposed adaptive task level strategy and dynamic score feedback method are effective strategies with respect to incentive function and rehabilitation efficacy.