Displaying and Manipulating Brain Function Data Including Filtering of Annotations

• US 20110218820A1
• Filed: 03/02/2010
• Published: 09/08/2011
• Est. Priority Date: 03/02/2010
• Status: Abandoned Application

• Current Assignee: Cyberonics, Inc
• Original Assignee: Cyberonics, Inc
• Inventors: Katz, Michael A., Himes, David M.
• Application Number:
  US12/716,147
• Publication Number:
  US 20110218820A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A user is enabled to request a visual review of a plurality of subsets of aggregate brain activity data, and the data contained in each subset are transformed into a visual display presented to the user. Significantly, rather than requiring the user to separately request a visual display of each selected subset, a visual display for each different subset is automatically sequentially displayed, based upon a single user request. This sequential display is particularly useful where the data from each subset cannot be readily displayed simultaneously. Thus, if twenty subsets are selected by the user from the aggregate brain activity data, then twenty different visual displays will be selectively generated and sequentially displayed in response to a single user request. Such subsets can be defined by annotations, where such annotations are defined by a patient input, an automated review, or an expert review.

Claims

1. A method for enabling a user to review brain activity data, comprising the steps of:

providing a plurality of annotations, each annotation including a temporal segment of brain activity collected from a patient;

filtering the plurality of annotations by enabling a user to select at least one criteria to be used to determine which of the plurality of annotations are to be included in a set of filtered annotations, the set of filtered annotations being a subset of the plurality of annotations;

enabling a user to request a visual review of the set of filtered annotations; and

transforming the brain activity data corresponding to each filtered annotation in the set of filtered annotations into a visual display that is presented to the user.

2. The method of claim 1, wherein the plurality of annotations includes annotations corresponding to a plurality of different categories, and wherein the step of enabling the user to select at least one criteria comprises the step of enabling the user to select at least one of the plurality of different categories, such that each annotation corresponding to a selected category is included in the set of filtered annotations.

3. The method of claim 1, wherein the plurality of annotations includes annotations that have descriptive parameters in addition to the brain activity data, and wherein the step of enabling the user to select at least one criteria comprises the step of enabling the user to select at least one descriptive parameter, such that each annotation corresponding to a selected descriptive parameter is included in the set of filtered annotations.

4. The method of claim 1, wherein the plurality of annotations include annotations corresponding to a plurality of different categories and annotations that have descriptive parameters in addition to brain activity data, and wherein the step of enabling the user to select at least one criteria comprises the step of enabling the user to select at least one criteria from a group of criteria consisting of:

the plurality of different categories, each different category comprising a different criteria; and

a plurality of descriptive parameters, each different descriptive parameter comprising a different criteria.

5. The method of claim 1, wherein the step of the step of enabling the user to select at least one criteria comprises the step of enabling the user to selectively include within the set of filtered annotations each annotation that is based on input provided by the patient from which the brain activity data are collected.

6. The method of claim 1, wherein the step of the step of enabling the user to select at least one criteria comprises the step of enabling the user to selectively include within the set of filtered annotations each annotation that is based on an expert review of the brain activity data.

7. The method of claim 1, wherein the step of the step of enabling the user to select at least one criteria comprises the step of enabling the user to selectively include within the set of filtered annotations each annotation that is based on an automated analysis of the digital brain activity data.

8. The method of claim 1, wherein the step of the step of enabling the user to select at least one criteria comprises the step of enabling the user to selectively include within the set of filtered annotations each annotation that corresponds to a seizure.

9. The method of claim 1, wherein the step of the step of enabling the user to select at least one criteria comprises the step of enabling the user to selectively include within the set of filtered annotations each annotation that corresponds to a specific type of seizure.

10. The method of claim 1, wherein the step of the step of enabling the user to select at least one criteria comprises the step of enabling the user to select at least one annotation from a group of annotations consisting of:

any annotation that is based on patient input;

any annotation that corresponds to a seizure;

any annotation that corresponds to a specific type of seizure;

any annotation that is based on an automated review of the brain activity data; and

any annotation that includes a specific descriptive parameter.

11. The method of claim, 1, wherein the step of transforming the brain activity data corresponding to each filtered annotation in the set of filtered annotations into the visual display presented to the user comprises the step of generating and presenting a different visual display for each filtered annotation.

12. The method of claim 11, wherein the step of generating and presenting the different visual display for each filtered annotation comprises the step of utilizing a funnel graphic to indicate a temporal relationship between the annotation for which the visual display is currently being presented and a larger temporal extent of the brain activity data that were collected.

13. The method of claim 11, wherein the step of generating and presenting the different visual display for each filtered annotation comprises the step of sequentially generating the visual display for each filtered annotation.

14. The method of claim 13, further comprising the step of enabling a user to selectively control an order in which the visual display for each filtered annotation will be sequentially presented.

15. The method of claim 1, wherein the step of transforming the brain activity data corresponding to each filtered annotation in the set of filtered annotations into the visual display that is presented to the user comprises the step of enabling the user to define an additional temporal segment of the brain activity data before or after the filtered annotation to be included in the visual display.

16. The method of claim 1, wherein the step of transforming the brain activity data corresponding to each filtered annotation in the set of filtered annotations into the visual display comprises the step of simultaneously displaying a list of each filtered annotation in the set of filtered annotations, along with the visual display generated for the filtered annotation, the list highlighting a specific filtered annotation for which the visual display is currently being presented.

17. A computer-readable medium on which are stored machined readable and executable instructions, which when executed by a processor, implement a plurality of functions, including:

enabling a user to apply at least one filter to a plurality of annotations, each annotation corresponding to a different temporal segment from a plurality of temporal segments of brain activity data, thereby defining at least one filtered annotation, the set of filtered annotations being a subset of the plurality of annotations;

enabling a user to request a visual review of the set of filtered annotations; and

transforming the brain activity data corresponding to each filtered annotation in the set of filtered annotations into a visual display presented to the user.

18. A system for enabling a clinician to review brain activity data, comprising:

a viewing device upon which a visual display corresponding to brain activity data can be displayed;

a processor logically coupled to the viewing device; and

a memory logically coupled to the processor, the memory storing data and machine readable and executable instructions that when executed by the processor, cause a plurality of functions to be carried out, including;

filtering a plurality of annotations by enabling a user to select at least one criteria to be used to determine which of the plurality of annotations are to be included in a set of filtered annotations, the set of filtered annotations being a subset of the plurality of annotations;

enabling the user to request a visual review of the set of filtered annotations; and

transforming the brain activity data corresponding to each filtered annotation in the set of filtered annotations into a visual display that is visually presented to the user, on the viewing device.

19. The system of claim 18, wherein the plurality of annotations include annotations corresponding to a plurality of different categories and annotations that have descriptive parameters in addition to brain activity data, and wherein the machine readable and executable instructions, when executed by the processor, further cause the following functions to be carried out:

enabling the user to selectively include each annotation corresponding to a selected category in the set of filtered annotations; and

enabling the user to selectively include each annotation having a user-defined descriptive parameter in the set of filtered annotations.

20. A method for enabling a user to review brain activity data, comprising the steps of:

providing a plurality of annotations, each annotation including a temporal segment of brain activity collected from a patient, the plurality of annotations including;

annotations corresponding to a plurality of different categories; and

annotations that have descriptive parameters in addition to brain activity data;

filtering the plurality of annotations by enabling a user to select at least one criteria to be used to determine which of the plurality of annotations are to be included in a set of filtered annotations, the set of filtered annotations being a subset of the plurality of annotations, the step of enabling the user to select at least one criteria comprising the step of enabling the user to select at least one criteria from a group of criteria consisting of;

the plurality of different categories, each different category comprising a different criteria; and

a plurality of descriptive parameters, each different descriptive parameter comprising a different criteria;

enabling a user to request a visual review of the set of filtered annotations; and

transforming the brain activity data corresponding to each filtered annotation in the set of filtered annotations into a visual display that is presented to the user.