• DocumentCode
    179707
  • Title

    Modulation frequency analysis of seizures in neonatal EEG

  • Author

    Temko, Andriy ; Boylan, Geraldine ; Marnane, William ; Lightbody, G.

  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    5879
  • Lastpage
    5883
  • Abstract
    Detection of seizures in neonatal EEG signal represents a formidable challenge for clinicians in the neonatal intensive care unit (NICU). Seizure morphology is known to evolve both temporally and spatially with a similar evolution also observed in the frequency domain. The modulation frequency analysis which is widely used in speech processing is used here to extract the frequency-localized spectral dynamics of the neonatal EEG and investigate their discriminative capabilities in the context of neonatal seizure detection. This study suggests that the spectral dynamics of neonatal EEG are more informative than short-term spectral characteristics. It is shown that the seizure-relevant components of the modulation spectrogram are found in the vicinity of 0.4Hz. Modulation frequency analysis represents a new insight into the EEG signal which can uncover the underlying time-structural organization of the neonatal EEG signal and therefore improve clinical understanding of the dynamic processes involved.
  • Keywords
    bioelectric potentials; electroencephalography; frequency modulation; medical disorders; medical signal processing; neurophysiology; paediatrics; frequency 0.4 Hz; frequency domain; frequency-localized spectral dynamics; modulation frequency analysis; modulation spectrogram; neonatal EEG signal; neonatal intensive care unit; neonatal seizure detection; seizure morphology; seizure-relevant components; speech processing; time-structural organization; Electroencephalography; Feature extraction; Frequency modulation; Pediatrics; Speech; Time-frequency analysis; Modulation frequency; electroencephalography; epilepsy; neonatal EEG; neonatal seizures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854731
  • Filename
    6854731