Supplementary Material for: Are All Amplitude-Integrated Electroencephalogram Systems Equal?
Werther T.
Olischar M.
Naulaers G.
Deindl P.
Klebermass-Schrehof K.
Stevenson N.
10.6084/m9.figshare.5418799.v1
https://karger.figshare.com/articles/journal_contribution/Supplementary_Material_for_Are_All_Amplitude-Integrated_Electroencephalogram_Systems_Equal_/5418799
<p><b><i>Background:</i></b> Filter and peak detection algorithms
implemented in amplitude-integrated electroencephalogram (aEEG) systems
are not standardized. New aEEG systems are continuously enriching the
market and clinicians are faced with different aEEG devices whose
tracings may vary. <b><i>Objectives:</i></b> The aim of this work was to determine the role of different aEEG systems on quantitative measurements of the aEEG. <b><i>Methods:</i></b>
In this observational study, a single-channel aEEG recording (Olympic
CFM 6000) with corresponding EEG signal was obtained from 32 infants at a
gestational age of 36-44 weeks. The signals were split into 334
episodes of 4 h. New aEEG tracings were generated using the NicoletOne
Reader Software and aEEG emulations with varying filter profiles and
peak detection settings. The aEEG amplitude margins and automated
annotation of continuous normal voltage (CNV) were compared. <b><i>Results:</i></b>
The output of the Olympic and the NicoletOne systems are very similar
but not identical; the Spearman rank correlations of the aEEG amplitude
margins exceeded 0.9 and the differences in the lower and upper
amplitude margins were 1.55 μV (SD 1.47) and -2.12 μV (SD 1.44) on
average (<i>n</i> = 309), respectively. The aEEG emulation showed that
the differences between the output of the Olympic and the NicoletOne
system could be primarily ascribed to the peak detection algorithm. The
differences in output can affect automated analyses with agreement rates
in CNV detection of 76% (<i>n</i> = 32, positive) and 92% (<i>n</i> = 32, negative) when comparing the Olympic to the NicoletOne outputs. <b><i>Conclusions:</i></b>
Commercial aEEG systems have similar but not identical outputs. Care is
advised when interpreting automated aEEG classifications across
different devices.</p>
2017-09-19 11:42:21
Algorithm
Amplitude-integrated electroencephalogram
Cerebral function monitoring
Neonatal brain