DocumentCode :
2631772
Title :
Arm control recovery enhanced by error augmentation
Author :
Abdollahi, Farnaz ; Rozario, S.V. ; Kenyon, R.V. ; Patton, James L. ; Case, E. ; Kovic, M. ; Listenberger, M.
Author_Institution :
Univ. of Illinois at Chicago, Chicago, IL, USA
fYear :
2011
fDate :
June 29 2011-July 1 2011
Firstpage :
1
Lastpage :
6
Abstract :
Here we present results where nineteen stroke survivors with chronic hemiparesis simultaneously employed the trio of patient, therapist, and machine. Massed practice combined with error augmentation, where haptic (robotic forces) and graphic (visual display) distortions are used to enhance the feedback of error, was compared to massed practice alone. The 6-week randomized crossover design involved approximately 60 minutes of daily treatment three times per week for two weeks, followed by one week of rest, and then repeated using the alternate treatment protocol. A therapist provided a visual target using a tracking device that moved a cursor in front of the patient, who was instructed to maintain the cursor on the target. The patient, therapist, technician-operator, and rater were blinded to treatment type. Several clinical measures gauged outcomes at the beginning and end of each 2-week period and one week post training. Results showed incremental benefit across most but not all days, abrupt gains in performance, and a benefit to error augmentation training in final evaluations. This application of interactive technology may be a compelling new method for enhancing a therapist´s productivity in stroke-rehabilitation.
Keywords :
biomechanics; computer displays; feedback; graphical user interfaces; haptic interfaces; medical robotics; patient rehabilitation; arm control recovery; chronic hemiparesis; error augmentation; feedback; graphic distortions; haptic distortions; massed practice; patient therapy; randomized crossover design; robotic forces; stroke rehabilitation; stroke survivors; time 2 week; time 6 week; tracking device; training; visual display; Haptic interfaces; Medical treatment; Read only memory; Robot sensing systems; Training; Visualization; arm reaching; biofeedback; error augmentation; hemiparesis; human stroke rehabilitation therapy; robotics control; virtual reality; Humans; Recovery of Function; Robotics; Stroke; Upper Extremity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Rehabilitation Robotics (ICORR), 2011 IEEE International Conference on
Conference_Location :
Zurich
ISSN :
1945-7898
Print_ISBN :
978-1-4244-9863-5
Electronic_ISBN :
1945-7898
Type :
conf
DOI :
10.1109/ICORR.2011.5975504
Filename :
5975504
Link To Document :
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