Extraction of video features for real-time detection of neonatal seizures

This paper presents a novel approach to the extraction of video features for real-time detection of neonatal seizures. In particular, after identification of a proper Region Of Interest (ROI) within the video frame, the broadening factor and the maximum distance between consecutive pairs of zeros of...

Full description

Saved in:
Bibliographic Details
Published in2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks pp. 1 - 6
Main Authors Kouamou, G., Ferrari, G., Lofino, F., Raheli, R., Pisani, F.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2011
Subjects
Biomedical optical imaging
clonic
Feature extraction
features extraction
myoclonic
neonatal
Optical imaging
Pediatrics
Real time systems
real-time
seizure detection
Streaming media
Tracking
video
Online AccessGet full text

Cover

More Information
Summary:This paper presents a novel approach to the extraction of video features for real-time detection of neonatal seizures. In particular, after identification of a proper Region Of Interest (ROI) within the video frame, the broadening factor and the maximum distance between consecutive pairs of zeros of a properly extracted average differential luminosity signal are shown to be relevant features for a diagnosis. The ROI is selected by defining an area around the point where the maximum amplitude of the optical flow vector of that video frame sequence is observed. The located point is then tracked by an algorithm based on template matching and optical flow. The proposed approach allows to differentiate pathological movements (e.g., clonic and myoclonic seizures) from random ones.
ISBN:9781457703522
1457703521
DOI:10.1109/WoWMoM.2011.5986193