DocumentCode
2115092
Title
Detection of movements with attention or distraction to the motor task during robot-assisted passive movements of the upper limb
Author
Antelis, J.M. ; Montesano, Luis ; Giralt, X. ; Casals, Alicia ; Minguez, J.
Author_Institution
Dept. of Inf. & Syst. Eng., Univ. of Zaragoza, Zaragoza, Spain
fYear
2012
fDate
Aug. 28 2012-Sept. 1 2012
Firstpage
6410
Lastpage
6413
Abstract
Robot-assisted rehabilitation therapies usually focus on physical aspects rather than on cognitive factors. However, cognitive aspects such as attention, motivation, and engagement play a critical role in motor learning and thus influence the long-term success of rehabilitation programs. This paper studies motor-related EEG activity during the execution of robot-assisted passive movements of the upper limb, while participants either: i) focused attention exclusively on the task; or ii) simultaneously performed another task. Six healthy subjects participated in the study and results showed lower desynchronization during passive movements with another task simultaneously being carried out (compared to passive movements with exclusive attention on the task). In addition, it was proved the feasibility to distinguish between the two conditions.
Keywords
biomechanics; cognition; electroencephalography; medical robotics; medical signal detection; medical signal processing; patient rehabilitation; attention; cognitive aspects; desynchronization; engagement; motivation; motor learning; motor task; motor-related EEG activity; physical aspects; robot-assisted passive movement detection; robot-assisted rehabilitation therapies; upper limb; Electrodes; Electroencephalography; Induction motors; Medical treatment; Robot sensing systems; Time frequency analysis; Adult; Arm; Electroencephalography; Humans; Male; Movement; Robotics; Task Performance and Analysis;
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.2012.6347461
Filename
6347461
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