• DocumentCode
    1509791
  • Title

    Detecting the onset of epileptic seizures

  • Author

    Zapata-Ferrer, A. ; Maya, Rivas ; González, A. Gaona ; Pantaleon, M. A Aguillon ; Garcia, M. Castro ; Nasab, N. Maidi ; Valencia, R.H. ; Herrera, M. Vázquez

  • Author_Institution
    Lab. de Bioingenieria, Univ. Nacional Autonoma de Mexico, Mexico City, Mexico
  • Volume
    18
  • Issue
    3
  • fYear
    1999
  • Firstpage
    78
  • Lastpage
    83
  • Abstract
    Seizure is a phenomenon occurring in a large percentage of the population in every country of the world. It represents a distinctive indicator of an abnormality in the central nervous system. The main indicators in the EEG that predict a seizure are the presence of focal or multifocal receptive spikes or sharp waves (or both) and focal mono-rhythmic discharges. In this article we discuss the hardware and software that we developed for a system for automatic detection of these EEG signal characteristics at the beginning of an epileptic seizure. The patient is warned by the sounding of a special alarm. Such early detection helps to alert the patient to an impeding epileptic seizure and so allows him/her to take appropriate action to mitigate its effects.
  • Keywords
    biomedical electronics; computerised monitoring; electroencephalography; medical signal processing; neurophysiology; patient monitoring; EEG signal characteristics; automatic detection; central nervous system abnormality; computational methods; computerised system; data visualisation; epileptic seizures onset detection; focal mono-rhythmic discharges; focal receptive spikes; histogram frequency; logical discriminator circuit; multifocal receptive spikes; sharp waves; sleep; Acoustic signal detection; Band pass filters; Circuit testing; Electroencephalography; Electronic circuits; Epilepsy; Hardware; Libraries; Magnetic analysis; Magnetic recording; Algorithms; Analog-Digital Conversion; Biomedical Engineering; Calibration; Computer Systems; Electroencephalography; Epilepsy; Fourier Analysis; Humans; Pattern Recognition, Automated; Signal Processing, Computer-Assisted; Software;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.765192
  • Filename
    765192