Title :
Vision-based human motion analysis in epilepsy - Methods and challenges
Author :
Pediaditis, M. ; Tsiknakis, M. ; Vorgia, P. ; Kafetzopoulos, D. ; Danilatou, V. ; Fotiadis, D.
Author_Institution :
Inst. of Health Care Eng., Graz Univ. of Technol., Graz, Austria
Abstract :
Motion is one of the most important characteristics in clinical epileptology. In developing an integrated motion analysis system for epileptic patients or children with neurological disorders (e.g. ADHD) we surveyed and analyzed current efforts in vision-based human motion analysis in epilepsy as well as all possible forms of motion typically encountered in known epileptic syndromes. This paper presents the results in a systematic way, and includes a critical discussion of methodological and scientific challenges that need to be addressed in this particular domain.
Keywords :
image motion analysis; medical disorders; medical image processing; neurophysiology; paediatrics; patient diagnosis; video signal processing; ADHD; children; clinical epileptology; epilepsy; neurological disorders; vision-based human motion analysis; Biomedical imaging; Cameras; Epilepsy; Head; Image segmentation; Pixel; Variable speed drives;
Conference_Titel :
Information Technology and Applications in Biomedicine (ITAB), 2010 10th IEEE International Conference on
Conference_Location :
Corfu
Print_ISBN :
978-1-4244-6559-0
DOI :
10.1109/ITAB.2010.5687733