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DETECTING EVENTS IN VIDEO SEQUENCE OF VIDEO-EEG MONITORING
- Source :
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W12, Pp 155-159 (2019)
- Publication Year :
- 2019
- Publisher :
- Copernicus Publications, 2019.
-
Abstract
- In this paper, an algorithm for automated detecting diagnostic events in video channel of video and electroencephalographic (EEG) monitoring data is presented. The analysis of video sequences is focused on identifying a group of frames with high or very low (depending on the type of seizure) dynamics of informative areas according to a criterion calculated during processing of the optical flow. The preliminary results of the analysis of real clinical data are given and compared with data obtained from the synchronous EEG. The results showed the possibility in principle of reliable diagnosing epileptic seizures and distinguishing them from non-epileptic events.
Details
- Language :
- English
- ISSN :
- 16821750 and 21949034
- Volume :
- XLII-2-W12
- Database :
- Directory of Open Access Journals
- Journal :
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.20d457087cd44e4a397de748b8968cc
- Document Type :
- article
- Full Text :
- https://doi.org/10.5194/isprs-archives-XLII-2-W12-155-2019