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.

Citation

Lu, H., Eng, H.-L., Mandal, B., Chan, D. W., & Ng, Y.-L. (2011, August). Markerless Video Analysis for Movement Quantification in Pediatric Epilepsy Monitoring. Presented at Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Boston, MA, USA

• Presentation Conference Type: Conference Paper (published)
• Conference Name: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
• 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
• Public URL: https://keele-repository.worktribe.com/output/410889
• Publisher URL: http://doi.org/10.1109/IEMBS.2011.6092040
• PMID: 22256264