Seizure Sensing and Detection Using an Implantable Device

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.

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.