ADAPTIVE PERFORMANCE TRAINER

• US 20160007915A1
• Filed: 09/18/2015
• Published: 01/14/2016
• Est. Priority Date: 04/24/2009
• Status: Abandoned Application

• Current Assignee: Advanced Brain Monitoring
• Original Assignee: Advanced Brain Monitoring
• Inventors: Berka, Christine, Behneman, Adrienne, Popovic, Djordje, Davis, Gene, Raphael, Giby
• Application Number:
  US14/858,118
• Publication Number:
  US 20160007915A1
• Time in Patent Office: Days
• US Class Current: 1/1
• 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

Adaptive performance trainer for guiding a user toward a psychophysiological state. In an embodiment, psychophysiological signal data is received from one or more sensors, and a current psychophysiological state of a user is determined based on the psychophysiological signal data. The current psychophysiological state is compared to one or more goal states, and one or more control signals are generated based on a difference between the current psychophysiological state and the one or more goal states. The control signal(s) cause one or more feedback devices to generate feedback to guide the user toward the one or more goal states. The feedback may comprise an indication to the user of the current psychophysiological state at a pace that replicates the user'"'"'s heartbeat.

Claims

1. A system comprising:

one or more hardware processors;

one or more software modules that, when executed by the one or more hardware processors,

receive psychophysiological signal data from one or more sensors that collect psychophysiological signals from a user,

determine a current psychophysiological state of the user based on the received psychophysiological signal data,

compare the current psychophysiological state to one or more goal states, and

generate one or more control signals based on a difference between the current psychophysiological state and the one or more goal states; and

one or more feedback devices that

receive the one or more control signals from the one or more software modules, and,

in response to the one or more control signals, generate feedback to guide the user toward the one or more goal states, wherein the feedback comprises an indication to the user of the current psychophysiological state at a pace that replicates the user'"'"'s heartbeat.

2. The system of claim 1, wherein the indication to the user of the current psychophysiological state is a tactile indication.

3. The system of claim 1, wherein the indication to the user of the current psychophysiological state decreases as the user'"'"'s current psychophysiological state approaches the one or more goal states.

4. The system of claim 1, wherein the indication to the user of the current psychophysiological state comprises an indication of a current alpha state of the user.

5. The system of claim 1, further comprising the one or more sensors.

6. The system of claim 5, wherein the one or more sensors comprise an electroencephalograph (EEG) sensor, and wherein the psychophysiological signal data comprise EEG data collected by the EEG sensor.

7. The system of claim 1, wherein the one or more software modules:

receive a selection of one of a plurality of training profiles, wherein each of the plurality of training profiles comprises at least one goal state; and

determine the one or more goal states to be compared to the current psychophysiological state based on the selected training profile.

8. The system of claim 1, wherein comparing the current psychophysiological state to one or more goal states comprises comparing one or more event-related potentials representing the current psychophysiological state to one or more event-related potentials representing the one or more goal states.

9. The system of claim 1, wherein comparing the current psychophysiological state to one or more goal states comprises comparing an instantaneous heart rate representing the current psychophysiological state to an instantaneous heart rate representing the one or more goal states.

10. The system of claim 1, wherein comparing the current psychophysiological state to one or more goal states comprises comparing a heart rate variability representing the current psychophysiological state to a heart rate variability representing the one or more goal states.

11. The system of claim 1, wherein the psychophysiological signal data comprises electromyography (EMG) signal data, and wherein comparing the current psychophysiological state to one or more goal states comprises comparing a variance of the EMG signal data representing the current psychophysiological state to a variance of EMG signal data representing the one or more goal states.

12. The system of claim 1, wherein comparing the current psychophysiological state to one or more goal states comprises comparing an engagement metric representing the current psychophysiological state to an engagement metric representing the one or more goal states.

13. The system of claim 1, wherein comparing the current psychophysiological state to one or more goal states comprises comparing a mental workload metric representing the current psychophysiological state to a mental workload metric representing the one or more goal states.

14. The system of claim 1, wherein the system is a wearable battery-powered apparatus, wherein the one or more hardware processors and one or more feedback devices are comprised in the wearable battery-powered apparatus, and wherein the one or more software modules are stored in a memory of the wearable battery-powered apparatus.

15. The system of claim 14, wherein the wearable battery-powered apparatus comprises one or more ports configured to interface with one or more peripheral devices.

16. The system of claim 1, wherein the one or more feedback devices comprise a haptic vibration device that generates haptic vibrations.

17. A method comprising:

by one or more sensors, collecting psychophysiological signals from a user;

by at least one hardware processor,

receiving psychophysiological signal data from the one or more sensors,

determining a current psychophysiological state of the user based on the received psychophysiological signal data,

comparing the current psychophysiological state to one or more goal states, and

generating one or more control signals based on a difference between the current psychophysiological state and the one or more goal states; and

, by one or more feedback devices,

receiving the one or more control signals, and,

in response to the one or more control signals, generating feedback to guide the user toward the one or more goal states, wherein the feedback comprises an indication to the user of the current psychophysiological state at a pace that replicates the user'"'"'s heartbeat.

18. The method of claim 17, wherein the indication to the user of the current psychophysiological state is a tactile indication.

19. A non-transitory computer-readable medium having instructions stored thereon, wherein the instructions, when executed by a processor, cause the processor to:

receive psychophysiological signal data from one or more sensors that collect psychophysiological signals from a user;

determine a current psychophysiological state of the user based on the received psychophysiological signal data;

compare the current psychophysiological state to one or more goal states; and

initiate feedback to guide the user toward the one or more goal states, wherein the feedback comprises an indication to the user of the current psychophysiological state at a pace that replicates the user'"'"'s heartbeat.

20. The non-transitory computer-readable medium of claim 19, wherein the indication to the user of the current psychophysiological state is a tactile indication.