DocumentCode :
1764496
Title :
Powered Hip Exoskeletons Can Reduce the User´s Hip and Ankle Muscle Activations During Walking
Author :
Lenzi, T. ; Carrozza, Maria ; Agrawal, Sunil K.
Author_Institution :
BioRobotics Inst., Scuola Superiore Sant´Anna, Pisa, Italy
Volume :
21
Issue :
6
fYear :
2013
fDate :
Nov. 2013
Firstpage :
938
Lastpage :
948
Abstract :
In this paper, we study the human locomotor adaptation to the action of a powered exoskeleton providing assistive torque at the user´s hip during walking. To this end, we propose a controller that provides the user´s hip with a fraction of the nominal torque profile, adapted to the specific gait features of the user from Winter´s reference data . The assistive controller has been implemented on the ALEX II exoskeleton and tested on ten healthy subjects. Experimental results show that when assisted by the exoskeleton, users can reduce the muscle effort compared to free walking. Despite providing assistance only to the hip joint, both hip and ankle muscles significantly reduced their activation, indicating a clear tradeoff between hip and ankle strategy to propel walking.
Keywords :
assisted living; gait analysis; medical robotics; muscle; orthotics; patient rehabilitation; torque; ALEX II exoskeleton; Winter´s reference data; ankle muscle activation; assistive controller; assistive torque; free walking; hip joint; hip muscle activations; human locomotor adaptation; muscle effort; nominal torque profile; powered hip exoskeletons; propel walking; specific gait features; user hip; Exoskeletons; Hip; Joints; Legged locomotion; Muscles; Torque; Assistive and rehabilitation robotics; bio mechanics; gait; human-robot interaction; powered exoskeletons; Adaptation, Physiological; Ankle Joint; Electric Power Supplies; Energy Metabolism; Equipment Design; Equipment Failure Analysis; Hip Joint; Humans; Muscle Contraction; Muscle, Skeletal; Orthotic Devices; Physical Exertion; Reference Values; Robotics; Therapy, Computer-Assisted; Treatment Outcome; Walking;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2013.2248749
Filename :
6482647
Link To Document :
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