DocumentCode
3108990
Title
Inverse-Dynamics Based Assessment of Gait using a Robotic Orthosis
Author
Hidler, J. ; Neckel, N.
Author_Institution
Dept. of Biomed. Eng., Catholic Univ., Washington, DC
fYear
2006
fDate
Aug. 30 2006-Sept. 3 2006
Firstpage
185
Lastpage
188
Abstract
Body-weight supported treadmill training following neurological disorders such as stroke and spinal cord injuries (SCI) has become an integral part of rehabilitation for treating gait disorders. Unfortunately techniques for selecting important training parameters, such as walking speed and body-weight support, have not been established. Here we present a 3-D inverse-dynamics based approach for evaluating an individual´s ability to ambulate, in terms of evaluating the magnitude and timing of joint moments at the ankle, knee and hip. This technique, which utilizes an instrumented gait robot, allows clinicians and researchers the ability to determine the training parameters in which subjects generate joint moments at the proper phases of the gait cycle which when combined with electromyographic recordings, can help establish and then progress training parameters for individuals on a subject-by-subject basis. We believe that training subjects at their preferred walking speed and body-weight support will lead to higher functional outcomes
Keywords
electromyography; gait analysis; medical robotics; neurophysiology; orthotics; patient rehabilitation; patient treatment; 3D inverse dynamics; body-weight support; electromyographic recordings; gait disorder treatment; joint moments; neurological disorders; patient rehabilitation; robotic orthosis; spinal cord injuries; stroke; treadmill training; walking speed; Belts; DC motors; Hip; Knee; Leg; Legged locomotion; Muscles; Rehabilitation robotics; Robots; USA Councils; assessment; gait; robotics; spinal cord injury; stroke;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location
New York, NY
ISSN
1557-170X
Print_ISBN
1-4244-0032-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2006.259392
Filename
4461716
Link To Document