• DocumentCode
    140473
  • Title

    Neonatal EEG audification for seizure detection

  • Author

    Temko, Andriy ; Marnane, William ; Boylan, Geraldine ; O´Toole, J.M. ; Lightbody, G.

  • Author_Institution
    Dept. Electr. & Electron. Eng., Univ. Coll. Cork, Cork, Ireland
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    4451
  • Lastpage
    4454
  • Abstract
    Technologies for automated detection of neonatal seizures are gradually moving towards cot-side implementation. The aim of this paper is to present an alternative way to visualize the output of a neonatal seizure detection algorithm. For this purpose audified neonatal EEG is considered. The EEG is audified with the aid of the neonatal seizure detection algorithm which selects the representative channels for stereo audio image and controls the signal gain. A survey on the usefulness and accuracy of the presented audification method has been performed. The results of the audification method compare favourably to that of using amplitude integrated EEG for detection of neonatal seizures.
  • Keywords
    audio signal processing; auditory displays; data visualisation; electroencephalography; medical disorders; medical signal detection; medical signal processing; neurophysiology; paediatrics; amplitude integrated EEG; audification accuracy survey; audification usefulness survey; automated neonatal seizure detection; cot-side implementation; data visualization; neonatal EEG audification; neonatal seizure detection algorithm; representative channel selection; signal gain control; stereo audio image; Electroencephalography; Pediatrics; Probabilistic logic; Sensitivity; Testing; Visualization; Vocoders;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6944612
  • Filename
    6944612