Seizure Sensing and Detection Using an Implantable Device

• US 20100331717A1
• Filed: 09/12/2010
• Published: 12/30/2010
• Est. Priority Date: 06/28/2001
• Status: Abandoned Application

• Current Assignee: Neuropace Inc.
• Original Assignee: Neuropace Inc.
• Inventors: Tcheng, Thomas K., Pless, Benjamin D., Gibb, Barbara, Kirkpatrick, Bruce, Archer, Stephen T., Baysinger, Craig M., Gurunathan, Suresh
• Application Number:
  US12/880,138
• Publication Number:
  US 20100331717A1
• Time in Patent Office: Days
• US Class Current: 600/544
• CPC Class Codes: A61B 5/291 for electroencephalography [EEG]
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/4094 Diagnosing or monitoring seizure diseases, e.g. epilepsy
• CPC Class Codes: A61B 5/6868 Brain
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7242 using integration
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61N 1/36064 Epilepsy

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 an electrographic signal received from a patient'"'"'s brain. The features and window-based characteristics are combinable in various ways according to the invention to detect and predict neurological events in real time, enabling responsive action by the implantable device.

Claims

1. A method for detecting a neurological event by analyzing an electrical signal from a patient'"'"'s brain with an implantable device, the method comprising the steps of:

receiving a first electrical signal and a second electrical signal from a plurality of electrodes;

processing the electrical signals with a detection subsystem to obtain a first detection channel output and a second detection channel output;

combining the first detection channel output and the second detection channel output to obtain an event detector output; and

causing the implantable device to perform an action in accordance with the event detector output.