• DocumentCode
    1984338
  • Title

    Engineering devices to treat epilepsy: a clinical perspective

  • Author

    Litt, Brian

  • Author_Institution
    Pennsylvania Univ., Philadelphia, PA, USA
  • Volume
    4
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    4124
  • Abstract
    25% of the world\´s 50 million people with epilepsy have seizures that cannot be controlled by medication or epilepsy surgery. The need for new therapeutic options is clear. Since the 1970\´s clinicians, neuroscientists and engineers have proposed technologies for treating seizures, with the ultimate goal of implanting stimulators or drug infusion devices in the brain to abort seizures before clinical onset. Interest in the field has exploded in recent years, due to evidence suggesting that seizures may be predictable. Device designs range from "blind" stimulators, which do not respond to physiological activity, to "intelligent" devices, which are triggered by detecting or predicting seizure onset. To gain acceptance, intracranial implants will need to demonstrate more than marginal efficacy to justify their invasiveness. Unlike their cardiology predecessors, intelligent implantable epilepsy devices will likely process, multiple channels of data, be tuned to individual patients and may need to predict events rather than detect them, for maximal effectiveness. Carefully designed clinical trials will be required to perfect and validate the efficacy of implantable devices for epilepsy, before clinical use becomes widespread.
  • Keywords
    biomedical electronics; brain; diseases; electroencephalography; medical signal detection; medical signal processing; neurophysiology; patient treatment; prosthetics; blind stimulators; brain; clinical perspective; clinical trials; clinicians; drug infusion devices; engineering devices; engineers; epilepsy treatment; event detection; event prediction; individual patients; intelligent devices; intelligent implantable epilepsy devices; intracranial implants; invasiveness; maximal effectiveness; multiple data channels; neuroscientists; physiological activity; seizure onset; seizures; therapeutic options; Animals; Biological neural networks; Biomedical electrodes; Clinical trials; Drugs; Electrical stimulation; Epilepsy; Humans; Immune system; Nervous system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7211-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2001.1019764
  • Filename
    1019764