Automated analysis of multi-channel EEG in preterm infants.

Typeset version

 

TY  - JOUR
  - Murphy K, Stevenson NJ, Goulding RM, Lloyd RO, Korotchikova I, Livingstone V, Boylan GB
  - 2015
  - September
  - Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
  - Automated analysis of multi-channel EEG in preterm infants.
  - Published
  - WOS: 25 ()
  - To develop and validate two automatic methods for the detection of burst and interburst periods in preterm eight-channel electroencephalographs (EEG). To perform a detailed analysis of interobserver agreement on burst and interburst periods and use this as a benchmark for the performance of the automatic methods. To examine mathematical features of the EEG signal and their potential correlation with gestational age.
  - 10.1016/j.clinph.2014.11.024
DA  - 2015/09
ER  - 
@article{V284889159,
   = {Murphy K,  Stevenson NJ and  Goulding RM,  Lloyd RO and  Korotchikova I,  Livingstone V and  Boylan GB },
   = {2015},
   = {September},
   = {Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology},
   = {Automated analysis of multi-channel EEG in preterm infants.},
   = {Published},
   = {WOS: 25 ()},
   = {{To develop and validate two automatic methods for the detection of burst and interburst periods in preterm eight-channel electroencephalographs (EEG). To perform a detailed analysis of interobserver agreement on burst and interburst periods and use this as a benchmark for the performance of the automatic methods. To examine mathematical features of the EEG signal and their potential correlation with gestational age.}},
   = {10.1016/j.clinph.2014.11.024},
  source = {IRIS}
}
AUTHORSMurphy K, Stevenson NJ, Goulding RM, Lloyd RO, Korotchikova I, Livingstone V, Boylan GB
YEAR2015
MONTHSeptember
JOURNAL_CODEClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
TITLEAutomated analysis of multi-channel EEG in preterm infants.
STATUSPublished
TIMES_CITEDWOS: 25 ()
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ISSUE
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ABSTRACTTo develop and validate two automatic methods for the detection of burst and interburst periods in preterm eight-channel electroencephalographs (EEG). To perform a detailed analysis of interobserver agreement on burst and interburst periods and use this as a benchmark for the performance of the automatic methods. To examine mathematical features of the EEG signal and their potential correlation with gestational age.
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DOI_LINK10.1016/j.clinph.2014.11.024
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