Spatiotemporal pattern recognition for neurological event detection and prediction in an implantable device
First Claim
1. A method for detecting a neurological condition, the method comprising:
- receiving at least one electrical signal with at least one electrode, where the electrode is in electrical communication with neural tissue;
processing the at least one electrical signal with a detector; and
detecting the neurological condition with the detector, where the neurological condition is determined by a sequence of detections of individual neurological events, and where the detections occur in a predetermined order.
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Accused Products
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.
44 Citations
18 Claims
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1. A method for detecting a neurological condition, the method comprising:
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receiving at least one electrical signal with at least one electrode, where the electrode is in electrical communication with neural tissue; processing the at least one electrical signal with a detector; and detecting the neurological condition with the detector, where the neurological condition is determined by a sequence of detections of individual neurological events, and where the detections occur in a predetermined order. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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Specification