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  1. Pubblicazioni

Epileptic Time Series Prediction: a Patent Perspective

Articolo
Data di Pubblicazione:
2008
Abstract:
The field of epileptic sizure prediction is today highly relevant not only for elucidating underlying brain dynamical mechanisms but also from a technological (and medical industry) perspective. In this paper, a bird’s eye view of the state-of-the-art in this truly cross-disciplinary research field is presented. It describes the chronological path of the major results achieved in recent years. Once the relevant background is depicted, some important patents concerning epilepsy and, in general, brain disorders treatment are analysed, paying special attention to a promising patent on seizure prediction and control. The advantages of the proposed scheme and some potential improvements on it are discussed giving hen a final look to the possible future developments.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Epileptic seizures; biomedical time series; prediction
Elenco autori:
Mammone, N.; Morabito, Francesco Carlo; LA FORESTA, Fabio
Autori di Ateneo:
LA FORESTA Fabio
MORABITO Francesco Carlo
Mammone Nadia
Link alla scheda completa:
https://iris.unirc.it/handle/20.500.12318/1742
Pubblicato in:
RECENT PATENTS ON COMPUTER SCIENCE
Journal
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