Methods for automatic generation of EEG montages

Patent metadata

Field	Value
Publication number	US-11529107-B2
Application number	US-201916697850-A
Country	US
Kind code	B2
Filing date	Nov 27, 2019
Priority date	Nov 27, 2018
Publication date	Dec 20, 2022
Grant date	Dec 20, 2022

Abstract

Computer-implemented methods of enabling an on-the-fly generation of at least one user-defined montage from EEG electrodes positioned in a patient's brain, on the patient's brain and/or on the patient's scalp. The methods includes generating a graphical interface to display a view of the patient's brain and/or scalp overlaid with the EEG electrodes, each of which is uniquely identified with reference to its position in the patient's brain, on the patient's brain and/or on the patient's scalp, displaying a tool within the graphical interface for selecting at least one electrode from the displayed EEG electrodes, indicating a reference electrode corresponding to the selected electrode, accessing EEG signals corresponding to the electrode and the reference electrode, and generating another graphical interface to display an EEG trace indicative of a comparison of EEG signals of the electrode and the reference electrode.

First claim

We claim:

1. A computer readable non-transitory medium comprising a plurality of executable programmatic instructions wherein, when the plurality of executable programmatic instructions are executed by a processor in a computing device, at least one user-defined montage from a plurality of EEG electrodes positioned in a patient's brain, on the patient's brain or on the patient's scalp is generated, the plurality of executable programmatic instructions comprising:
programmatic instructions, stored in the computer readable non-transitory medium, for generating a first graphical interface to display at least one graphical view of the patient's brain and/or scalp overlaid with a plurality of identifications corresponding to the plurality of EEG electrodes, wherein each of the plurality of identifications uniquely references a position of each of the plurality of EEG electrodes relative to the patient's brain and/or scalp;
programmatic instructions, stored in the computer readable non-transitory medium, for displaying a tool within the first graphical interface, wherein the tool is configured to be manipulated in order to select at least one identification of the plurality of identifications;
programmatic instructions, stored in the computer readable non-transitory medium, for prompting a user to indicate at least one reference identification corresponding to the at least one identification, wherein, when executed, the programmatic instructions configured to enable the user select at least one identification:
enables the user to use at least two drawing loops to select electrodes for generating a first montage and a second montage;
upon forming the at least two drawing loops, automatically generates a second graphical interface to prompt the user to identify at least one of active electrode(s) or reference electrode(s) of the electrodes enclosed by each of the at least two drawing loops; and
upon identifying the active electrode(s) or the reference electrode(s), automatically designates the other electrode(s);

programmatic instructions, stored in the computer readable non-transitory medium, for acquiring EEG signals associated with the EEG electrodes corresponding to the at least one identification and the at least one reference identification; and
programmatic instructions, stored in the computer readable non-transitory medium, for generating a third graphical interface to display at least one EEG trace indicative of the EEG signals associated with the EEG electrodes corresponding to the at least one identification and the at least one reference identification.

2. The computer readable non-transitory medium of claim 1 , further comprising programmatic instructions configured to enable the user to input a selection of the at least one identification comprising at least one of programmatic instructions programmatic instructions for enabling a clicking from the at least one identification to multiple other identifications of the plurality of identifications to thereby visually connect the at least one identifications and multiple other identifications, programmatic instructions for enabling at least one of clicking or dragging an icon over or looping around at least one of the plurality of EEG electrodes, programmatic instructions for enabling a clicking a body of at least one of the plurality of EEG electrodes or programmatic instructions for enabling a pressing a key on a keyboard and clicking upon more than one of the plurality of EEG electrodes.

3. The computer readable non-transitory medium of claim 1 , further comprising programmatic instructions configured to prompt the user to indicate at least one of a first identification and a second identifications as the at least one reference identification, wherein the at least one identification comprises the first identification and the second identification.

4. The computer readable non-transitory medium of claim 1 , wherein said plurality of EEG electrodes comprises at least one of strip, grid or depth electrodes.

5. The computer readable non-transitory medium of claim 1 , further comprising programmatic instructions for acquiring the EEG signals in real time while said EEG signals are being recorded using the plurality of EEG electrodes.

6. The computer readable non-transitory medium of claim 1 , further comprising programmatic instructions configured to acquire the EEG signals from a database system, wherein the database system is configured to store the EEG signals for offline processing.

7. The computer readable non-transitory medium of claim 1 , wherein the at least one identification is a single identification.

8. The computer readable non-transitory medium of claim 7 , further comprising programmatic instructions configured to further prompt the user to indicate the at least one reference identification from said plurality of identifications, and wherein said at least one reference identification is same for any subsequently selected single identifications.

9. A computer-implemented method of enabling a generation of at least one user-defined montage from a plurality of EEG electrodes positioned in a patient's brain, on the patient's brain and/or on the patient's scalp, said method comprising:
generating a first graphical interface to visually display at least one view of the patient's brain and/or scalp overlaid with a spatial distribution of the plurality of EEG electrodes, wherein each of said plurality of EEG electrodes in the at least one view is uniquely identified with reference to its position in the patient's brain, on the patient's brain and/or on the patient's scalp;
displaying a tool within the first graphical interface;
receiving an input from a user using the tool to select at least one electrode from the plurality of EEG electrodes displayed in the at least one view;
prompting the user to indicate at least one reference electrode corresponding to the selected at least one electrode wherein using the tool to select the at least one electrode comprises:
allowing the user to use at least two drawing loops to select electrodes corresponding to a first montage and electrodes corresponding to a second montage;
upon forming the at least two drawing loops, generating a second graphical interface to prompt the user to identify the at least one electrode and the at least one reference electrode from the electrodes enclosed by each of the at least two drawing loops; and
upon identifying the at least one electrode or the at least one reference electrode, automatically designating the other electrode(s);

accessing EEG signals corresponding to the at least one electrode and the at least one reference electrode; and
generating a third graphical interface to display at least one EEG trace indicative of a comparison of EEG signals of the at least one electrode and the at least one reference electrode.

10. The computer-implemented method of claim 9 , wherein selecting the at least one electrode from the plurality of EEG electrodes further comprises at least one of clicking on multiple electrodes of the plurality of EEG electrodes to visually connect them, clicking or dragging an icon over or looping the at least one electrode, clicking a body of the at least one electrode, or by pressing a key on a keyboard and clicking upon at least one electrode and additional electrodes of the plurality of EEG electrodes.

11. The computer-implemented method of claim 9 , further comprising receiving a selection of the at least one electrode and a second electrode from the plurality of EEG electrodes in the at least one view, wherein the at least one electrode and the second electrode are adjacent to each other.

12. The computer-implemente

Assignees

• Cadwell Laboratories Inc

Inventors

• Dearing Wayne
• Schulz Michael
• Hull Alison
• Hatley Wes

Classifications

• A61B5/291

  for electroencephalography [EEG] · CPC title

• A61B5/743

  Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots · CPC title

• A61B5/0022 Primary

  Monitoring a patient using a global network, e.g. telephone networks, internet · CPC title

• A61B2562/046

  in a matrix array · CPC title

• A61B2560/0214

  of power generation or supply · CPC title