DocumentCode :
1179362
Title :
A comparison of conventional and matched filtering techniques for rapid eye movement detection of the newborn [electro-oculography]
Author :
Hatzilabrou, G.M. ; Greenberg, N. ; Sclabassi, R.J. ; Carroll, T. ; Guthrie, R.D. ; Scher, Mark S.
Author_Institution :
Dev. Neurophysiol. Lab., Magee-Womens Hospital, PA, USA
Volume :
41
Issue :
10
fYear :
1994
Firstpage :
990
Lastpage :
995
Abstract :
Compares an extended conventional filter technique for automated detection and analysis of rapid eye movements (REM) in neonates, using amplitude, synchrony, velocity, and coherence threshold criteria, with a matched filtering technique using the morphology of the REM waveform. Analyses of both simulated and real data were carried out. Automated REM tabulations are compared with visual scoring by a trained observer. Both preterm and fullterm neonates were used to test these methods. Both the advantages and disadvantages of these two techniques are discussed as compared with conventional methods which use only amplitude and synchrony threshold criteria. The major advantage of the extended conventional over the conventional method, as well as the matched filtering over the extended conventional technique, is the increased REM detection rate for ten minute intervals of artifact-free sleep. More accurate methods of automated REM detection that can be applied over extended monitoring periods are still needed.
Keywords :
bioelectric potentials; biomechanics; eye; filtering and prediction theory; medical signal processing; vision; 10 min; REM waveform morphology; artifact-free sleep; conventional filtering technique; electrooculography; extended monitoring periods; fullterm neonates; matched filtering technique; newborn; preterm neonates; rapid eye movement detection; synchrony threshold criteria; visual scoring; Analytical models; Coherence; Computerized monitoring; Electrooculography; Filtering; Matched filters; Morphology; Pediatrics; Sleep; Testing; Computer Simulation; Electrooculography; Humans; Infant, Newborn; Infant, Premature; Models, Neurological; Observer Variation; Signal Processing, Computer-Assisted; Sleep, REM;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.324532
Filename :
324532
Link To Document :
بازگشت