Adaptive Performance Trainer

• US 20110105859A1
• Filed: 04/23/2010
• Published: 05/05/2011
• Est. Priority Date: 04/24/2009
• Status: Active Grant

• Current Assignee: Optios Incorporated
• Original Assignee: Advanced Brain Monitoring
• Inventors: Berka, Chris, Behneman, Adrienne, Davis, Gene, Raphael, Giby, Popovic, Djordje
• Granted Patent: US 9,173,582 B2
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 2560/0214 of power generation or supply
• CPC Class Codes: A61B 2560/0475 Special features of memory means, e.g. removable memory cards
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/16 Devices for psychotechnics using teaching or educational appliances G09B1/00 - G09B7/00; Testing reaction times ; Devices for evaluating the psychological state
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/6801 specially adapted to be attached to or worn on the body surface
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7455 characterised by tactile indication, e.g. vibration or electrical stimulation

Abstract

Techniques for accelerating training through optimization of the psychophysiological state of the trainee are provided. These techniques include an adaptive performance training system configured to acquire, analyzed, display, and translate data that reflects the psychophysiological state of the user, including the electrical activity of the brain (EEG), the heart (EKG), the musculature (EMG), respiration and other parameters that characterize the state of the user in real-time. The system includes a plurality of feedback mechanisms for providing visual, auditory, and/or tactile feedback based on the current psychophysiological state of the user and for facilitating moving the user toward a goal psychophysiological state for performing a particular task and for optimizing performance of that task.

Claims

2-1. The system of claim 1 wherein the psychophysiological signal data includes one or more of electroencephalograph (EEG) data, electrocardiograph (EKG) data, electromyography (EMG) data, respiration data, muscle tone, blood pressure, body temperature blood flow, galvanic skin reaction, and movement data.

12. A method for accelerating learning of a task using real-time data acquisition and analysis of real-time psychophysiological signals obtained from a user using an adaptive portable training device worn by the user, the method comprising:

continuously monitoring at the portable training device psychophysiological signal data from a plurality of sensors attached to a user while the user is performing the task to be learned;

analyzing at the portable training device the psychophysiological signal data to generate a current psychophysiological state of the user;

comparing at the portable training device the current psychophysiological state to one or more goal states associated with expert performance of the task to be learned;

determining at the portable training device multimodality feedback to be provide to the user based on the comparison of the current psychophysiological state of the user to the one or more goal states; and

delivering from the portable training device the multimodality feedback to the user in real-time to guide the user toward the one or more goal states, wherein the multimodality feedback delivered to the user is based on the control signals received from the expertise profiler module.

13. The method of claim 12 further comprising:

continuing to monitor the psychophysiological signal data from a plurality of sensors after the feedback has been delivered to the user; and

determining whether the feedback delivered to the user has helped the user to reach the one or more goal states.

14. The method of claim 12 wherein the psychophysiological signal data includes one or more of electroencephalograph (EEG) data, electrocardiograph (EKG) data, electromyography (EMG) data, respiration data, muscle tone, blood pressure, body temperature blood flow, galvanic skin reaction, and movement data.

15. The method of claim 12 wherein monitoring psychophysiological signal data from a plurality of sensors attached to a user further comprises:

monitoring additional parameters of task performance, including monitoring user interaction with one more interfaces for capturing user interactions with the system.

16. The method of claim 12 wherein delivering the multimodality feedback to the user to guide the user toward the one or more goal states further comprises:

generating a control signal for one or more feedback devices based on the multimodality feedback to be provided to the user.

17. The method of claim 16 wherein the one or more feedback devices include a video display.

18. The method of claim 16 wherein the one or more feedback devices includes an audio output device.

19. The method of claim 16 wherein the one or more feedback devices includes a haptic vibrator.

20. The method of claim 16 wherein the adaptive performance trainer can be worn on the user'"'"'s body.

21. The method of claim 12 further comprising:

receiving psychophysiological signal data at a remote computer system from the adaptive performance trainer via a wireless data interface,

performing offline analysis of the psychophysiological signal data; and

generating performance feedback data to assist the user in improving performance of the task.

22. The method of claim 12 further comprising:

receiving psychophysiological signal data at a remote computer system from the adaptive performance trainer via a wireless data interface; and

receiving feedback data from an instructor at the remote computer system; and

23. The method of claim 22 further comprising:

receiving at the portable training device the feedback data from the remote computer system; and

adjusting the one or more goal states used to assess progress of the user based on the feedback data.

24. The method of claim 12 wherein the accelerating learning of the task includes at least one of improving performance on the task, decreasing an amount of time to learn the task, improving the user'"'"'s retention of the task once learned, and improving the user'"'"'s ability to change from a first psychophysiological state to a second psychophysiological state during a training session.