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Robot-Based Image Analysis for Evaluating Rehabilitation after Brain Surgery

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Date
2018-06-01
Author
Kohout, Jan
Crha, Jan
Trnkova, Katerina
Sticha, Karel
Mares, Jan
Chovanec, Martin
Altmetrics
10.13164/mendel.2018.1.159
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Abstract
After certain types of brain surgery, patients are often affected by changes in both their dynamic balance and facial disorder. Because rehabilitation takes several months, it is important that both doctors and patients are able to monitor progress quantitatively. At present, such quantification is subjective and highly dependent on the doctor’s opinion. Thus, we here investigate the use of robot-based image analysis for measuring rehabilitation. To evaluate a patient’s dynamic balance, we developed a mobile robotic platform that uses a stereovision camera (MS Kinect) to capture a video of the subject walking along a hospital corridor. To evaluate a patient’s facial disorders, the same camera is used in a static mode to detect and capture precise facial movements that the subject is asked to perform. From these videos, specific patterns can be extracted for rehabilitation process description.
Keywords
brain surgery, computer vision, gait disorders, facial disorders, Kinect
Persistent identifier
http://hdl.handle.net/11012/179238
Document type
Peer reviewed
Document version
Final PDF
Source
Mendel. 2018 vol. 24, č. 1, s. 159-164. ISSN 1803-3814
https://mendel-journal.org/index.php/mendel/article/view/37
DOI
10.13164/mendel.2018.1.159
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  • Vol. 24, No. 1 [24]
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