IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-0-387-88630-5_20.html
   My bibliography  Save this book chapter

Seizure Monitoring and Alert System for Brain Monitoring in an Intensive Care Unit

In: Computational Neuroscience

Author

Listed:
  • J. Chris Sackellares

    (Optima Neuroscience, Inc.)

  • Deng-Shan Shiau

    (Optima Neuroscience, Inc.)

  • Alla R. Kammerdiner

    (University of Florida)

  • Panos M. Pardalos

    (University of Florida)

Abstract

Although monitoring for most organ systems is commonly used in intensive care units (ICU), brain function monitoring relies almost exclusively upon bedside clinical observations. As a result, a large number of nonconvulsive seizures go undiagnosed every day. Recent clinical studies have demonstrated the clinical utility of continuous EEG monitoring in ICU settings. Continuous EEG is a well-established tool for detecting nonconvulsive seizures, cerebral ischemia, cerebral hypoxia, and other reversible brain disturbances in the ICU. However, the utility of EEG monitoring currently depends on the availability of expert medical professionals, and interpretation is labor intensive. Such experts are available only in tertiary care centers. We have designed a seizure monitoring and alert system (SMAS) that utilizes a seizure susceptibility index (SSI) and seizure detection algorithms based on measures that characterize the spatiotemporal dynamical properties of the EEG signal. The SMAS allows distinguishing the organized seizure patterns from more irregular and less organized background EEG activity. The algorithms and initial results in human long-term EEG recordings are described.

Suggested Citation

  • J. Chris Sackellares & Deng-Shan Shiau & Alla R. Kammerdiner & Panos M. Pardalos, 2010. "Seizure Monitoring and Alert System for Brain Monitoring in an Intensive Care Unit," Springer Optimization and Its Applications, in: Wanpracha Chaovalitwongse & Panos M. Pardalos & Petros Xanthopoulos (ed.), Computational Neuroscience, chapter 0, pages 357-369, Springer.
  • Handle: RePEc:spr:spochp:978-0-387-88630-5_20
    DOI: 10.1007/978-0-387-88630-5_20
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:spochp:978-0-387-88630-5_20. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.