Haiping Lu
Markerless Video Analysis for Movement Quantification in Pediatric Epilepsy Monitoring
Lu, Haiping; Eng, How-Lung; Mandal, Bappaditya; Chan, Derrick W.S.; Ng, Yen-Ling
Abstract
This paper proposes a markerless video analytic system for quantifying body part movements in pediatric epilepsy monitoring. The system utilizes colored pajamas worn by a patient in bed to extract body part movement trajectories, from which various features can be obtained for seizure detection and analysis. Hence, it is non-intrusive and it requires no sensor/marker to be attached to the patient’s body. It takes raw video sequences as input and a simple user-initialization indicates the body parts to be examined. In background/foreground modeling, Gaussian mixture models are employed in conjunction with HSV-based modeling. Body part detection follows a coarse-to-fine paradigm with graphcut-based segmentation. Finally, body part parameters are estimated with domain knowledge guidance. Experimental studies are reported on sequences captured in an Epilepsy Monitoring Unit at a local hospital. The results demonstrate the feasibility of the proposed system in pediatric epilepsy monitoring and seizure detection.
Conference Name | Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
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Conference Location | Boston, MA, USA |
Start Date | Aug 30, 2011 |
End Date | Sep 3, 2011 |
Acceptance Date | Apr 5, 2011 |
Publication Date | Dec 1, 2011 |
Publicly Available Date | Mar 28, 2024 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 8275-8278 |
Series Title | 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'11) |
ISBN | 978-1-4244-4121-1 |
DOI | https://doi.org/10.1109/IEMBS.2011.6092040 |
Keywords | epilepsy, monitoring, image color analysis, oscillators, pediatrics, trajectory, electroencephalography |
Publisher URL | http://doi.org/10.1109/IEMBS.2011.6092040 |
PMID | 22256264 |
Files
VideoSeizureDt_EMBC2011.pdf
(1.7 Mb)
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