Spatiotemporal pattern recognition for neurological event detection and prediction in an implantable device

• US 9,186,082 B2
• Filed: 06/07/2007
• Issued: 11/17/2015
• Est. Priority Date: 09/13/2002
• Status: Active Grant

• Current Assignee: Neuropace Inc.
• Original Assignee: Neuropace Inc.
• Inventors: Wingeier, Brett M., Tcheng, Thomas K.
• Primary Examiner(s): NEGIN, RUSSELL SCOTT
• Application Number:
  US11/811,190
• Publication Number:
  US 20070244408A1
• Time in Patent Office: 3,085 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• CPC Class Codes: A61B 5/076 Permanent implantations telemetry using implanted circuitry A61B5/0031; implanted stimulators for therapy A61N1/3605, A61N1/362, A61N1/372
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/374 Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves
• CPC Class Codes: A61B 5/377 using evoked responses
• CPC Class Codes: A61B 5/4094 Diagnosing or monitoring seizure diseases, e.g. epilepsy
• CPC Class Codes: A61B 5/7257 using Fourier transforms

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.

Claims

1. An implantable medical device, comprising:

a sensing subsystem configured to sense electrical activity from a patient'"'"'s brain;

a detection subsystem configured to detect a set of signal events based on the sensed electrical activity;

a configurable finite state machine comprising;

a representation of a set of states;

a representation of a set of transition events, wherein an occurrence of a first transition event of the set of transition events causes a first transition out of a first state, the first transition being one of an exclusive transition from the first state or a non-exclusive transition from the first state, and wherein an occurrence of a second transition event of the set of transition events may cause a second transition out of the first state; and

a representation of the set of signal events, wherein a first detected signal event of the set of signal events is mapped to the first transition event, a second detected signal event of the set of signal events is mapped to the second transition event, wherein the first detected signal event, once mapped to the first transition event, causes the first transition to occur, and the second detected signal event, once mapped to the second transition event, causes the second transition to occur when the first transition is a non-exclusive transition, and to not occur when the first transition is an exclusive transition;

a central processing unit configured, in conjunction with the configurable finite state machine, to determine whether at least two individual detected signal events of the set of signal events occur in at least one of a predetermined pattern and sequence representative of a neurological event,

wherein the central processing unit selects a response, from a predetermined menu of possible responses, whenever the predetermined pattern and sequence of the at least two individual neurological events is determined to have occurred.

2. The implantable medical device of claim 1, wherein the predetermined sequence includes requiring that a second signal event occurs within a predetermined time period of a first signal event.

3. The implantable medical device of claim 1, wherein the detection subsystem detects signal events based on morphological characteristics of the sensed electrical activity.

4. The implantable medical device of claim 3, wherein the morphological characteristics are half waves.

5. The implantable medical device of claim 1, wherein the detection subsystem detects signal events based on characteristics of sensed electrical activity normalized to a particular window of time of a predetermined length.

6. The implantable medical device of claim 5, wherein the time window-normalized characteristics are the sum of the line lengths in the window or the total area under the curve in the window.

7. The implantable medical device of claim 1, wherein the detection subsystem detects signal events based on a combination of morphological characteristics of the sensed electrical activity and characteristics of the sensed electrical activity normalized to a particular window of time of a predetermined length.

8. The implantable medical device of claim 1, wherein the menu of possible responses includes one or more of registering detection of a predefined neurological condition, initiating a therapy, and generating a warning.

9. The implantable medical system of claim 1, further comprising at least one implantable electrode coupled to the stimulation subsystem and adapted to deliver electrical stimulation to the patient.

10. The implantable medical system of claim 9, wherein the at least one implantable electrode adapted to deliver electrical stimulation to the patient is also coupled to the sensing subsystem and adapted to sense the electrical activity from the patient.