Cognition and motor timing diagnosis using smooth eye pursuit analysis

• US 7,819,818 B2
• Filed: 10/05/2005
• Issued: 10/26/2010
• Est. Priority Date: 02/11/2004
• Status: Active Grant

• Current Assignee: Sync Think, Inc.
• Original Assignee: Jamshid Ghajar
• Inventors: Ghajar, Jamshid
• Primary Examiner(s): Hindenburg; Max
• Assistant Examiner(s): HOEKSTRA, JEFFREY GERBEN
• Application Number:
  US11/245,305
• Publication Number:
  US 20060270945A1
• Time in Patent Office: 1,847 Days
• Field of Search: 600/300, 600/301, 600/544, 600/545, 600/546, 600/547, 600/558, 600/587, 600/595, 600/559, 351/200, 351/201, 351/203, 351/205, 351/206, 128/920, 128/922, 128/923, 128/924, 128/925, 382/100, 382/110, 382/115, 382/117, 340/540, 340/573.1, 340/576
• US Class Current: 600/558
• CPC Class Codes: A61B 3/113 for determining or recording eye movement
• CPC Class Codes: A61B 5/162 Testing reaction times
• CPC Class Codes: A61B 5/163 by tracking eye movement, gaze, or pupil change
• CPC Class Codes: A61B 5/377 using evoked responses
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: Y10S 128/92 Computer assisted medical diagnostics
• CPC Class Codes: Y10S 128/922 including image analysis
• CPC Class Codes: Y10S 128/923 by comparison of patient data to other data
• CPC Class Codes: Y10S 128/924 using artificial intelligence
• CPC Class Codes: Y10S 128/925 Neural network

Abstract

A system for testing a subject for cognitive impairment includes a display, one or more video cameras and a computer. The display presents to the subject multiple stimuli, including a predictable, smoothly moving object, repeatedly moving over a same path. The video cameras sense eye movements of the subject, while the subject visually follows the object on the display. The computer analyzes the subject'"'"'s eye movements to determine, for example, accuracy and variability of the subject'"'"'s visual pursuit of the display of the smoothly moving object, and determines, based on the analysis, if the subject has a cognitive impairment. The analysis may provide one or more metrics, such as a metric of attention, a metric of fatigability and a metric of distractibility. The system may also be configured to provide feedback signals to the user, in which case the system also functions as cognition timing and motor training system.

Claims

1. A method of testing a subject for cognitive impairment, comprising:

presenting the subject with a display of a smoothly moving object, repeatedly moving over a tracking path;

measuring the subject'"'"'s eye movements during the presenting;

comparing the measured eye movements with movements of the smoothly moving object to generate an error signal, the error signal corresponding to at least one of timing error, position error and velocity error of the subject'"'"'s eye movements during visual pursuit of the display of the smoothly moving object;

analyzing variability of the error signal during visual pursuit of the display of the smoothly moving object to generate a variability metric, wherein the variability metric corresponds to how accurately and how consistently the subject visually tracks movement of the object; and

presenting a report, based on at least the variability metric, that indicates whether the subject has a cognitive impairment.

2. The method of claim 1, wherein the cognitive impairment is an anticipatory timing impairment.

3. The method of claim 1, wherein the tracking path of the moving object is a circular path.

4. The method of claim 1, wherein the smoothly moving object is displayed so as to repeat its movement over the tracking path with a frequency between 0.2 and 2.0 Hz.

5. The method of claim 1, wherein the variability metric is selected from the set consisting of a variability of eye position error metric, a variability of eye velocity gain metric, an eye position error metric, a rate or number of saccades metric, a visual feedback delay metric, and a combination of two or more of said metrics.

6. The method of claim 1, wherein the analyzing includes generating a metric selected from the set consisting of a metric of fatigability and a metric of distractibility.

7. The method of claim 1, wherein measuring the subject'"'"'s eye movements is accomplished using one or more video cameras having a picture frame rate of at least 400 frames per second.

8. The method of claim 1, wherein the analyzing includes generating an index of distractibility, indicative of the subject'"'"'s susceptibility to distraction.

9. The method of claim 8, including presenting auditory distraction to the subject while presenting the subject with the display of the smoothly moving object.

10. The method of claim 1, wherein the analyzing compares values determined for the subject with predetermined criteria associated with subjects having normal anticipatory timing.

11. A method of training a subject to improve anticipatory timing, comprising:

presenting the subject with stimuli comprising a display of a smoothly moving object, repeatedly moving over a tracking path;

measuring the subject'"'"'s eve movements during the presenting;

comparing the measured eve movements with movements of the smoothly moving object to generate an error signal, the error signal corresponding to at least one of timing error, position error and velocity error of the subject'"'"'s eye movements during visual pursuit of the display of the smoothly moving object;

analyzing variability of the error signal during visual pursuit of the display of the smoothly moving object to generate a variability metric, wherein the variability metric corresponds to how accurately and how consistently the subject visually tracks movement of the object; and

presenting a subject feedback signal based on at least the variability metric.

12. The method of claim 11, including repeating the presenting, determining, comparing and generating operations multiple times so as to generate a sequence of subject feedback signals, thereby enabling the subject to adjust their response to the stimuli in accordance with the subject feedback signals.

13. A system for testing a subject for cognitive impairment, comprising:

a display to present to the subject stimuli comprising a smoothly moving object, repeatedly moving over a tracking path;

a video sensor for measuring eye movements of the subject; and

a computer configured to;

present, on the display, the smoothly moving object, repeatedly moving over the tracking path;

measure, using the video sensor, the subject'"'"'s eye movements during the presenting;

compare the measured eye movements with movements of the smoothly moving object to generate an error signal, the error signal corresponding to at least one of timing error, position error and velocity error of the subject'"'"'s eye movements during visual pursuit of the display of the smoothly moving object;

analyze variability of the error signal during visual pursuit of the display of the smoothly moving object to generate a variability metric, wherein the variability metric corresponds to how accurately and how consistently the subject visually tracks movement of the object; and

present a report, based on at least the variability metric, that indicates whether the subject has a cognitive impairment.

14. The system of claim 13, wherein the cognitive impairment is an anticipatory timing impairment.

15. The system of claim 13, wherein the tracking path of the moving object is a circular path.

16. The system of claim 13, wherein the smoothly moving object is displayed so as to repeat its movement over the tracking path with a frequency between 0.2 and 2.0 Hz.

17. The system of claim 13, wherein the variability metric is selected from the set consisting of a variability of eye position error metric, a variability of eye velocity gain metric, an eye position error metric, a rate or number of saccades metric, a visual feedback delay metric, and a combination of two or more of said metrics.

18. The system of claim 13, wherein the video sensor comprises one or more video cameras having a picture frame rate of at least 400 frames per second.