EEG features from term infants recorded minutes after birth. To accompany publication:
D Finn, JM O'Toole, EM Dempsey, GB Boylan, EEG for the Assessment of Neurological Function in Newborn Infants Immediately After Birth, Arch Dis Child Fetal Neonatal Ed, 2018
DOI:10.1136/archdischild-2018-315231
Features are generated using NEURAL (version 0.3.4; code on github); see reference [1] for more details.
This version is archived on Zenodo:
qEEG_term_newborns_delivery_suite_ANON.csv
: feature set as comma-separated variable file. Will open in Excel (or equivalent).LICENCE.md
: terms of use.
Brief description of each feature (see [1] for more details):
column name | description |
---|---|
spectral_power__1_ | spectral power (delta band = 0.5 to 4 Hz) |
spectral_power__2_ | spectral power (theta band = 4 to 7 Hz) |
spectral_power__3_ | spectral power (alpha band = 7 to 13 Hz) |
spectral_power__4_ | spectral power (beta band = 13 to 30 Hz) |
spectral_relative_power__1_ | relative spectral power (for each band) |
spectral_relative_power__2_ | |
spectral_relative_power__3_ | |
spectral_relative_power__4_ | |
spectral_edge_frequency | frequency (Hz) below which 95% spectral power resides |
FD | fractal dimension (using Higuchi method) |
rEEG_median | median rEEG (rEEG similar to aEEG) |
rEEG_lower_margin | lower margin (5th percentile) of rEEG |
rEEG_upper_margin | upper margin (95th percentile) of rEEG |
rEEG_asymmetry | symmetry between upper, lower, and median rEEG |
- JM O’Toole and GB Boylan (2017). NEURAL: quantitative features for newborn EEG using Matlab. ArXiv e-prints, arXiv:1704.05694.
John M. O' Toole
INFANT: Irish Centre for Fetal and Neonatal Translational Research,
Department of Paediatrics and Child Health,
Room 2.19 Paediatrics Bld, Cork University Hospital,
University College Cork, Ireland
Email: jotoole AT ucc. ie