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Title: Design of an exoskeleton ankle robot for robot-assisted gait training of stroke patients
Authors: Yeung, LF
Ockenfeld, C 
Pang, MK
Wai, HW
Soo, OY
Li, SW
Tong, KY
Issue Date: 2017
Publisher: IEEE Computer Society
Source: IEEE International Conference on Rehabilitation Robotics, 2017, 8009248, p. 211-215 How to cite?
Abstract: Lower Limb Exoskeleton robot that can facilitate stair walking is a big challenge, most systems could only provide level ground walking. In this study, a lightweight (0.5kg at ankle, 0.5kg at waist for control box) and autonomous exoskeleton Ankle Robot was proposed to provide power assistance for gait training of chronic stroke patients and it can facilitate three walking conditions in real-time: (1) level walking, (2) stair ascending, and (3) stair descending. Chronic stroke patients (n=3) with drop foot gait deficit and moderate motor impairment were recruited to evaluate the system under different walking conditions (Functional Ambulatory Category: FAC=4.7±0.5 and Fugl-Meyer Assessment for lower-extremity: FMA-LE=13.7±2.9). The system consisted of a specially designed carbon fiber AFO, servomotor, gear transmission system, IMU and force sensors, and control box. The IMU sensors embedded in the shank measured acceleration and angular velocity to identify distinct features in leg tilting angle and leg angular velocity between the three walking conditions. The results showed the powered ankle dorsiflexion assistance could reduce dropped foot of the stroke patients in swing phase and provide better gait pattern. A demo of the ankle robot will be conducted in the conference.
Description: 2017 International Conference on Rehabilitation Robotics, ICORR 2017, London, UK, 17-20 July, 2017
ISBN: 9781538622964
ISSN: 1945-7898
DOI: 10.1109/ICORR.2017.8009248
Appears in Collections:Conference Paper

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