Title
An Adaptive Shared Control of a Novel Robotic Walker for Gait Rehabilitation of Stroke Patients
Abstract
An increasing number of stroke patients are suffering from motor disability. For enhancing their quality of daily life, recovery from disabled ambulation is in urgent need. Traditional robotic gait rehabilitation systems with treadmill assistance constrain stroke patients in sagittal plane and restricting pelvic horizontal motion. In order to solve these problems, A novel robotic walker was proposed for effective gait rehabilitation. It is composed of a body weight support (BWS) unit and an active omni-directional mobile platform to assist gait training, including anterior-posterior, medio-Iateral, rotational pelvic movements and supports for balance and postural control. In order to improve self-motivated ambulatory ability, an adaptive shared control strategy is proposed, which automatically executes human-in-charge or robot-in-charge mode during gait training. 3 healthy young subjects were recruited in experiments to assess performance and effectiveness of this controller. Their kinematic changes and muscle activities in experiments showed beneficial influence of the robotic walker with the adaptive shared control for gait rehabilitation.
Year
DOI
Venue
2018
10.1109/IISR.2018.8535892
2018 IEEE International Conference on Intelligence and Safety for Robotics (ISR)
Keywords
DocType
ISBN
motor disability,disabled ambulation,traditional robotic gait rehabilitation systems,treadmill assistance constrain stroke patients,sagittal plane,restricting pelvic horizontal motion,body weight support unit,active omni-directional,gait training,medio-Iateral movements,rotational pelvic movements,postural control,adaptive shared control strategy,human-in-charge,robotic walker,gait rehabilitation
Conference
978-1-5386-5548-1
Citations 
PageRank 
References 
0
0.34
1
Authors
10
Name
Order
Citations
PageRank
Jing Ye100.34
Gong Chen200.34
Quanquan Liu377.90
Lihong Duan402.37
Wanfeng Shang5144.69
Xi-fan Yao6999.25
Jianjun Long701.69
yulong wang803.38
Zhengzhi Wu91510.38
Chunbao Wang1001.35