Training system and method for improving cognition and motor timing

• US 7,708,700 B2
• Filed: 05/09/2008
• Issued: 05/04/2010
• 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:
  US12/118,468
• Publication Number:
  US 20080206727A1
• Time in Patent Office: 725 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 5/377 using evoked responses
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• 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 method of training a subject to improve anticipatory timing includes presenting the subject with multiple sequences of stimuli, receiving sensor signals associated with responses by the subject to the stimuli, and recording response times in accordance with the sensor signals, wherein the recorded response times are associated with the responses by the subject to the multiple sequences of stimuli, and wherein the response times have an associated distribution. The method further includes analyzing the distribution of response times for the subject to determine variability in anticipatory timing of the subject with respect to the stimuli, and generating a subject feedback signal corresponding to a result of the analyzing so as to train the subject to improve anticipatory timing of the subject. Also disclosed is a system for performing the aforementioned training method.

Claims

1. A system for training a subject to improve anticipatory timing, comprising:

a display to present to the subject multiple sequences of visual stimuli;

a sensor that produces sensor signals corresponding to responses by the subject to the visual stimuli;

one or more processors; and

memory storing one or more programs to be executed by the one or more processors, the one or more programs including instructions for performing a sequence of operations, including;

presenting to the subject the multiple sequences of visual stimuli;

recording response times in accordance with the sensor signals, wherein the recorded response times are associated with the responses by the subject to the multiple sequences of stimuli, and wherein the response times have an associated distribution;

analyzing the distribution of response times for the subject to determine variability in anticipatory timing of the subject with respect to the stimuli; and

presenting a subject feedback signal to the subject, the feedback signal corresponding to a result of the analyzing, and repeating the sequence of operations so as to train the subject to improve anticipatory timing and reduce variability of the subject responses with respect to the stimuli.

2. The system of claim 1, including a feedback device for providing feedback to the subject in accordance with the subject feedback signal.

3. The system of claim 1, wherein the instructions for analyzing include instructions for comparing the anticipatory timing of the subject with normative data and classifying the anticipatory timing of the subject, including the variability of the anticipatory timing of the subject, as normal or abnormal in accordance with a result of the analyzing.

4. The system of claim 1, wherein the visual stimuli consists of a smoothly moving object, repeatedly moving over a tracking path and the sensor signals are signals derived from video signals monitoring eye movements of the subject;

and wherein the determined variability corresponds to how consistently eye movements of the subject visually track movement of the object.

5. The system of claim 4, wherein the sensor comprises a camera operating at a picture update rate of at least 200 Hertz.

6. The system of claim 1, wherein the sensor is mechanical or piezoelectric sensor that responds to a manual action by the subject.

7. The system of claim 1, wherein the instructions for presenting the subject feedback signal are responsive to repeated analysis of the subject'"'"'s variability in anticipatory timing with respect to the visual stimuli.