DocumentCode :
2105170
Title :
Analysis of biomechanical data to determine the degree of users participation during robotic-assisted gait rehabilitation
Author :
Collantes, I. ; Asin, G. ; Moreno, J.C. ; Pons, J.L.
Author_Institution :
Bioeng. Group, Consejo Super. de Investig. Cientficas, Madrid, Spain
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
4855
Lastpage :
4858
Abstract :
Recent studies have shown evidence indicating that effective robotic rehabilitation is only possible when the user actively participates during training. Providing a complete effective biofeedback to the patient representing his compliance to the therapy and his performance is thought that his active participation will be enhanced significantly, thus, improving his rehabilitation. We have performed a study with the driven gait orthosis (DGO) Lokomat (Hocoma AG, Volketswil, Switzerland). The objective of the present study is the analysis of the effect of different types of participation (attention to the functional task) from subjects receiving robotic assisted gait training on the kinematic and kinetic patterns. The obtained results provide useful evidence of specific biomechanical features that can be used to design more useful, robust, focused and intuitive biomechanical biofeedback during robotic assisted gait rehabilitation in stroke survivors.
Keywords :
biomechanics; medical disorders; medical robotics; orthotics; patient rehabilitation; Lokomat DGO; biomechanical data analysis; driven gait orthosis; effective biofeedback; effective robotic rehabilitation; focused biomechanical biofeedback; intuitive biomechanical biofeedback; kinematic patterns; kinetic patterns; patient therapy compliance; robotic assisted gait rehabilitation; robotic assisted gait training; robust biomechanical biofeedback; stroke survivors; useful biomechanical biofeedback; user participation degree; Force; Hip; Joints; Knee; Legged locomotion; Training; Adult; Biofeedback, Psychology; Equipment Design; Equipment Failure Analysis; Female; Gait Disorders, Neurologic; Humans; Male; Patient Participation; Robotics; Therapy, Computer-Assisted; Treatment Outcome; User-Computer Interface; Young Adult;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6347081
Filename :
6347081
Link To Document :
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