Spatiotemporal pattern recognition for neurological event...

Surgery – Diagnostic testing – Detecting brain electric signal

Reexamination Certificate

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Reexamination Certificate

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10244093

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.

REFERENCES:
patent: 5857978 (1999-01-01), Hively et al.
patent: 5995868 (1999-11-01), Dorfmeister et al.
patent: 6006124 (1999-12-01), Fischell et al.
patent: 6016449 (2000-01-01), Fischell et al.
patent: 6018682 (2000-01-01), Rise
patent: 2002/0095099 (2002-07-01), Quyen et al.
patent: 2003/0004428 (2003-01-01), Pless et al.
patent: 2004/0068199 (2004-04-01), Echauz et al.
patent: 2004/0122335 (2004-06-01), Sackellares et al.
U.S. Appl. No. 09/517,797, filed Mar. 2, 2000, Fischell et al.
J. Gotman, Automatic Seizure Detection: Improvements and Evaluation, Electroencephalogr. Clin. Neurophysiol. 1990, 76(4): 317-24.
H. Qu and J. Gotman, A Seizure Warning System for Long-Term Epilepsy Monitoring, Neurology 1995; 45: 2250-4.
H. Qu and J. Gotman, A Patient-Specific Algorithm for the Detection of Seizure Onset in Long-Term EEG Monitoring: Possible Use as a Warning Device, 1997.
Spencer S.S., Guimaraes P., Katz A., Kim J., Spencer D., Morphological Patterns of Seizures Recorded Intracranially, Epilepsia 1992; 33: 537-545.
Lee S.A., Spencer D. D., Spencer S. S., Intracranial EEG Seizure-Onset Patterns in NeoCortical Epilepsy, Epilepsia 2000; 41: 297-307.
Schiff S.J., Colella D., Jacyna G.M. et al., Brain Chirps: Spectographic Signatures of Epileptic Seizures; Clin. Neurophysiol. 2000; 111: 953-958.
Bergey G.K., Franaszczuk P.J., Epileptic Seizures are Characterized by Changing Signal Complexity, Clin. Neurophysiol. 2001; 112: 241-249.
Velasco A.L., Wilson C.L., Babb T.L., Engel J. Jr., Functional and Anatomic Correlates of Two Frequently Observed Temporal Lobe Seizure-Onset Patterns, Neural Plasticity, 2000 7:49-63.
Schiller Y., Cascino G.D., Busacker N.E., Sharbrough F. W., Characterization and Comparison of Local Onset and Remote Propagated Electrographic Seizures Recorded with Intra-cranial electrodes; Epilesia 1998; 39; 380-388.
Litt B., Esteller R., Echauz J. et al., Epileptic Seizures May Begin Hours in Advance of Clinical Onset: A Report of Five Patients, Neuron, 2001: 30: 51-64.
Wagner, H.R. et al., Suppression of Cortical Epileptiform Activity by Generalized and Localized ECoG Desynchronization, Electroencephalogr. Clin. Neurophysiol., 1975; 39(5): 499-506.
http://www.vnstherapy.com/epilepsy/hcp/vnstherapy/default.aspx (NeuroCybernetic Prosthesis (NCP)), Jun. 5, 2007.
http://www.medtronic.com/physician/activa/index.html (Medtronic Activa), Jun. 5, 2007.

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