Spatiotemporal pattern recognition for neurological event detection and prediction in an implantable device
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United States of America Patent
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Apr 19, 2016
Grant Date -
Mar 21, 2013
app pub date -
Nov 16, 2012
filing date -
Sep 13, 2002
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Abstract
A system and method for detecting and predicting neurological events with an implantable device uses a relatively low-power central processing unit in connection with signal processing circuitry to identify features (including half waves) and calculate window-based characteristics (including line lengths and areas under the curve of the waveform) in one or more electrographic signals received from a patient's brain. The features and window-based characteristics are employed within the framework of a programmable finite state machine to identify patterns and sequences in and across the electrographic signals, facilitating early and reliable detection and prediction of complex spatiotemporal neurological events in real time, and enabling responsive action by the implantable device.
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