Method and apparatus for predicting the onset of seizures based on features derived from signals indicative of brain activity
US6658287B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 18, 2001 |
| Grant date | Dec 2, 2003 |
| Priority date | — |
| Expiry date | May 18, 2021 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H40/67
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
This invention is a method, and system for predicting the onset of a seizure prior to electrograph onset in an individual. During an “off-line” mode, signals representing brain activity of an individual (either stored or real time) are collected, and features are extracted from those signals. A subset of features, which comprise a feature vector, are selected by a predetermined process to most efficiently predict (and detect) a seizure in that individual. An intelligent prediction subsystem is also trained “off-line” based on the feature vector derived from those signals. During “on-line” operation, features are continuously extracted from real time brain activity signals to form a feacture vector, and the feature vector is continuously analyzed with the intelligent prediction subsystem to predict seizure onset in a patient. The system, and method are preferably implemented in an implanted device (102) that is capable of warning externally an individual of the probability of a seizure, and/or automatically taking preventative actions to abort the seizure. In addition, methods are provided for applying intervention measures to an animal to abort o…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.