Title :
Improving the extraction of temporal motion strength signals from video recordings of neonatal seizures
Author :
Karayiannis, Nicolaos B. ; Tao, Guozhi
Author_Institution :
Dept. of Electr. & Comput. Eng., Houston Univ., TX, USA
Abstract :
The paper presents a procedure developed to extract quantitative information from video recordings of neonatal seizures in the form of temporal motion strength signals. These signals are obtained by applying nonlinear filtering, segmentation, and morphological filtering on the differences between adjacent frames. The experiments indicate that temporal motion strength signals constitute an effective representation of videotaped clinical events and can be used for seizure recognition and characterization.
Keywords :
biomedical optical imaging; feature extraction; image motion analysis; image segmentation; mathematical morphology; neurophysiology; nonlinear filters; paediatrics; patient monitoring; pattern classification; video signal processing; central nervous system disorders; clinical events; morphological filtering; neonatal seizures; nonlinear filtering; segmentation; seizure characterization; seizure recognition; temporal motion strength signal extraction; video recordings; Area measurement; Character recognition; Data mining; Filtering; Information analysis; Leg; Motion detection; Pediatrics; Surveillance; Video recording;
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2003. Proceedings. IEEE Conference on
Print_ISBN :
0-7695-1971-7
DOI :
10.1109/AVSS.2003.1217906
