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Markerless Video Analysis for Movement Quantification in Pediatric Epilepsy Monitoring

Lu, Haiping; Eng, How-Lung; Mandal, Bappaditya; Chan, Derrick W.S.; Ng, Yen-Ling

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Authors

Haiping Lu

How-Lung Eng

Derrick W.S. Chan

Yen-Ling Ng



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.

Citation

Lu, H., Eng, H., Mandal, B., Chan, D. W., & Ng, Y. (2011). Markerless Video Analysis for Movement Quantification in Pediatric Epilepsy Monitoring. . https://doi.org/10.1109/IEMBS.2011.6092040

Conference Name Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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
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

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