Method and apparatus for encouraging physiological change through physiological control of wearable auditory and visual interruption device

• US 9,521,976 B2
• Filed: 01/24/2014
• Issued: 12/20/2016
• Est. Priority Date: 01/24/2013
• Status: Active Grant

• Current Assignee: Devon Greco
• Original Assignee: Devon Greco
• Inventors: Greco, Devon
• Primary Examiner(s): Gedeon, Brian T
• Assistant Examiner(s): Tejani, Ankit D
• Application Number:
  US14/163,971
• Publication Number:
  US 20140336473A1
• Time in Patent Office: 1,061 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/0008 Temperature signals
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/053 Measuring electrical impedance or conductance of a portion of the body
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/30 Input circuits therefor
• 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 5/375 using biofeedback
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/6803 Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/7225 Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation A61B5/30, A61B5/316 take precedence; transformers for specific applications H01F38/00; amplifiers H03F
• CPC Class Codes: A61B 5/7405 using sound
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/7445 Display arrangements, e.g. multiple display units
• CPC Class Codes: A61B 5/7455 characterised by tactile indication, e.g. vibration or electrical stimulation

Abstract

A biofeedback system and method enables biofeedback training to be accomplished during normal interaction by an individual with the individual'"'"'s environment, for example while reading, playing video games, watching TV, participating in sports activities, or at work. Physiologic data is processed and used to generate one or more control signals based on the physiologic data. The control signals may be proportional to a result of the data processing, or based on comparison of the processing results with at least one fixed or adaptive threshold. The control signal is supplied to a wearable device through which the individual receives sensory information from the individual'"'"'s environment, and serves to interrupt or modify the sensory information. The wearable device may be an eyeglass device including a dynamic lens display, with the control signal being supplied to the dynamic lens display to modulate visual information received through the eyeglass device by obscuring, distorting, or otherwise affecting the clarity of the visual information. Feedback may also be provided in the form of auditory or tactile feedback.

Claims

1. A biofeedback system that enables biofeedback training to be accomplished during interaction by an individual with the individual'"'"'s environment, comprising:

a physiologic data acquisition device for acquiring physiologic data concerning the individual;

a processor connected to the physiologic data acquisition device for processing said physiologic data and generating at least one control signal in response to said processing of the physiologic data;

a wearable device through which the individual receives sensory information that includes, at least, visual information from the individual'"'"'s environment, said wearable device comprising a lens display arranged to interrupt the visual information and thereby change the individual'"'"'s visual perception of the individual'"'"'s environment by varying a clarity or opacity of the lens display in response to said at least one control signal.

2. A biofeedback system as claimed in claim 1, wherein said wearable device is an eyeglass device, said eyeglass device including said lens display.

3. A biofeedback system as claimed in claim 2, wherein the lens display includes a liquid crystal which blocks light passing through the lens when electrified.

4. A biofeedback system as claimed in claim 3, wherein the lens is arranged to be electrified at varying intensities to produce different levels of opacity.

5. A biofeedback system as claimed in claim 2, wherein said physiologic signals include one or more of the following physiologic signals:

electroencephalographs (EEGs), electrocardiograph (ECGs), electromyography (EMG), skin temperature, skin conductance, heart rate, and/or event-related potentials (ERPs).

6. A biofeedback system as claimed in claim 2, wherein said control signal causes said said clarity or opacity to be varied in a way that constitutes a reward if the physiologic signals match a criterion set forth by a training protocol.

7. A biofeedback system as claimed in claim 6, wherein the training protocol includes analysis of the physiologic data to determine whether one or more physiologic signals has increased and/or decreased, and in which the reward is generated based on the increase and/or decrease in the magnitude of at least one said physiologic signals.

8. A biofeedback system as claimed in claim 2, wherein said physiologic signals include an electroencephalograph (EEG) to indicate an individual'"'"'s mental engagement at a task, and said control signal is generated based on a bandwidth of the EEG.

9. A biofeedback system as claimed in claim 8, wherein said clarity or opacity is varied as a function of a ratio [(f1+f2)/(f3+f4)] of four respective EEG bandwidths, where f1, f2, f3, f4, are the respective EEG bandwidths.

10. A biofeedback system as claimed in claim 2, wherein said clarity or opacity is varied based on comparison of said physiologic data with a fixed threshold.

11. A biofeedback system as claimed in claim 2, wherein said clarity or opacity is varied based on comparison of said physiologic data with an adaptive threshold.

12. A biofeedback system as claimed in claim 11, wherein said adaptive threshold is determined by fuzzy logic.

13. A biofeedback system as claimed in claim 2, further comprising a complemental feedback device including an auditory feedback device and/or a tactile feedback device for respectively conveying auditory and tactile feedback to the individual in response to at least one said control signal.

14. A biofeedback system as claimed in claim 2, further comprising a complemental feedback device including a tactile feedback device for conveying tactile feedback to the individual in response to at least one said control signal, wherein said tactile feedback device includes a vibrating mechanism for transmitting vibrations to the individual in response to the control signal.

15. A biofeedback system as claimed in claim 2, further comprising a complemental feedback device including an auditory feedback device for conveying auditory feedback to the individual in response to at least one said control signal, wherein said auditory feedback device includes a speaker or headphone for generating a pleasant sound that serves as an aural reward or an unpleasant sound that serves as a penalty or negative aural reward.

16. A biofeedback system as claimed in claim 1, wherein said physiologic signals include one or more of the following physiologic signals:

electroencephalographs (EEGs), electrocardiograph (ECGs), electromyography (EMG), skin temperature, skin conductance, heart rate, and/or event-related potentials (ERPs).

17. A biofeedback system as claimed in claim 1, wherein said control signal causes said sensory information to be modulated in a way that constitutes a reward if the physiologic signals match a criterion set forth by a training protocol.

18. A biofeedback system as claimed in claim 17, wherein the training protocol includes analysis of the physiologic data to determine whether one or more physiologic signals has increased and/or decreased, and in which the reward is generated based on the increase and/or decrease in the magnitude of at least one said physiologic signals.

19. A biofeedback system as claimed in claim 1, wherein said physiologic signals include an electroencephalograph (EEG) to indicate an individual'"'"'s mental engagement at a task, and said control signal is generated based on a bandwidth of the EEG.

20. A biofeedback system as claimed in claim 19, wherein said sensory information is modulated as a function of a ratio [(f1+f2)/(f3+f4)] of four respective EEG bandwidths, where f1, f2, f3, f4, are the respective EEG bandwidths.

21. A biofeedback system as claimed in claim 19, wherein said sensory information is modulated based on comparison of said physiologic data with a fixed threshold.

22. A biofeedback system as claimed in claim 19, wherein said sensory information is modulated based on comparison of said physiologic data with an adaptive threshold.

23. A biofeedback system as claimed in claim 22, wherein said adaptive threshold is determined by fuzzy logic.

24. A biofeedback system as claimed in claim 1, further comprising an auditory feedback device and/or a tactile feedback device for respectively conveying auditory and tactile feedback to the individual in response to at least one said control signal.

25. A biofeedback system as claimed in claim 1, further comprising a complemental feedback device including a tactile feedback device for conveying tactile feedback to the individual in response to at least one said control signal, wherein said tactile feedback device includes a vibrating mechanism for transmitting vibrations to the individual in response to the control signal.

26. A biofeedback system as claimed in claim 1, further comprising a complemental feedback device including an auditory feedback device for conveying auditory feedback to the individual in response to at least one said control signal, wherein said auditory feedback device includes a speaker or headphone for generating a pleasant sound that serves as an aural reward or an unpleasant sound that serves as a penalty or negative aural reward.

27. A biofeedback system that enables biofeedback training to be accomplished during interaction by an individual with the individual'"'"'s environment, comprising:

a physiologic data acquisition device for acquiring physiologic data concerning the individual;

a processor connected to the physiologic data acquisition device for processing said physiologic data and generating at least one control signal in response to said processing of the physiologic data;

a wearable device through which the individual receives sensory information from the individual'"'"'s environment, said wearable device being arranged to interrupt or modify the sensory information received by the individual in response to said at least one control signal,

wherein said wearable device is an eyeglass device, said eyeglass device including a dynamic lens display, and said control signal being supplied to said dynamic lens display to modulate visual information received through said eyeglass device, and

wherein said physiologic data is EEG data, analysis of said physiologic data is carried out in the frequency domain and transformed physiologic data is processed according to three input variables;

rate of change, deviation from expected level, and previously achieved performance.

28. A biofeedback system that enables biofeedback training to be accomplished during interaction by an individual with the individual'"'"'s environment, comprising:

a physiologic data acquisition device for acquiring physiologic data concerning the individual;

a processor connected to the physiologic data acquisition device for processing said physiologic data and generating at least one control signal in response to said processing of the physiologic data;

a wearable device through which the individual receives sensory information from the individual'"'"'s environment, said wearable device being arranged to interrupt or modify the sensory information received by the individual in response to said at least one control signal,

wherein said physiologic data is EEG data to indicate an individual'"'"'s mental engagement at a task, and

wherein analysis of said physiologic data is carried out in the frequency domain and the transformed physiologic data is processed according to three input variables;

rate of change, deviation from expected level, and previously achieved performance.

29. A biofeedback method that enables biofeedback training to be accomplished during interaction by an individual with the individual'"'"'s environment, comprising the steps of:

providing the individual with a wearable device through which the individual receives sensory information from the individual'"'"'s environment, the wearable device comprising a lens display;

acquiring physiologic data concerning the individual;

using a processor to process the physiologic data and generate at least one control signal in response to said processing of the physiologic data;

interrupting visual information received by the individual through the wearable device to change the individual'"'"'s visual perception of the individual'"'"'s environment by varying a clarity or opacity of the lens display in response to said at least one control signal.

30. A biofeedback method as claimed in claim 29, wherein said wearable device is an eyeglass device, said eyeglass device including said lens display, wherein the clarity or opacity of the lens display is varied by controlling an amount of light passing through a liquid crystal in the lens display.

31. A biofeedback method as claimed in claim 30, wherein the step of acquiring physiologic signals include the step of measuring one or more of the following physiologic signals:

electroencephalographs (EEGs), electrocardiograph (ECGs), electromyography (EMG), skin temperature, skin conductance, heart rate, and/or event-related potentials (ERPs).

32. A biofeedback method as claimed in claim 30, wherein said step of varying a clarity or opacity of the lens display is carried out in a way that constitutes a reward if the physiologic signals match a criterion set forth by a training protocol.

33. A biofeedback method as claimed in claim 32, wherein the training protocol includes analysis of the physiologic data to determine whether one or more physiologic signals has increased and/or decreased, and in which the reward is generated based on the increase and/or decrease in the magnitude of at least one said physiologic signals.

34. A biofeedback method as claimed in claim 30, wherein said physiologic signals include an electroencephalograph (EEG) to indicate an individual'"'"'s mental engagement at a task, and said control signal is generated based on a bandwidth of the EEG.

35. A biofeedback method as claimed in claim 34, wherein said clarity or opacity of the lens display is varied as a function of a ratio [(f1+f2)/(f3+f4)] of four respective EEG bandwidths, where f1, f2, f3, f4, are the respective EEG bandwidths.

36. A biofeedback method as claimed in claim 30, wherein said clarity or opacity of the lens display is varied based on comparison of said physiologic data with a fixed threshold.

37. A biofeedback method as claimed in claim 30, wherein said clarity or opacity of the lens display is varied based on comparison of said physiologic data with an adaptive threshold.

38. A biofeedback method as claimed in claim 37, wherein said adaptive threshold is determined by fuzzy logic.

39. A biofeedback method as claimed in claim 29, further comprising the step of providing auditory feedback and/or tactile feedback for respectively conveying auditory and tactile feedback to the individual in response to at least one said control signal.

40. A biofeedback method as claimed in claim 39, wherein the step of providing auditory feedback and/or tactile feedback comprises the step of transmitting vibrations to the individual in response to the control signal.

41. A biofeedback method as claimed in claim 39, wherein the step of providing auditory feedback and/or tactile feedback comprises the step of generating a pleasant sound that serves as an aural reward or an unpleasant sound that serves as a penalty or negative aural reward.

42. A biofeedback method as claimed in claim 29, wherein the step of acquiring physiologic signals include the step of measuring one or more of the following physiologic signals:

electroencephalographs (EEGs), electrocardiograph (ECGs), electromyography (EMG), skin temperature, skin conductance, heart rate, and/or event-related potentials (ERPs).

43. A biofeedback method as claimed in claim 29, wherein said step of modulating said sensory information comprises the step of modulating the sensory information in a way that constitutes a reward if the physiologic signals match a criterion set forth by a training protocol.

44. A biofeedback method as claimed in claim 43, wherein the training protocol includes analysis of the physiologic data to determine whether one or more physiologic signals has increased and/or decreased, and in which the reward is generated based on the increase and/or decrease in the magnitude of at least one said physiologic signals.

45. A biofeedback method as claimed in claim 29, wherein said physiologic signals include an electroencephalograph (EEG) to indicate an individual'"'"'s mental engagement at a task, and said control signal is generated based on a bandwidth of the EEG.

46. A biofeedback method as claimed in claim 45, wherein said visual information is modulated as a function of a ratio [(f1+f2)/(f3+f4)] of four respective EEG bandwidths, where f1, f2, f3, f4, are the respective EEG bandwidths.

47. A biofeedback method as claimed in claim 29, wherein said visual information is modulated based on comparison of said physiologic data with a fixed threshold.

48. A biofeedback method as claimed in claim 47, wherein said visual information is modulated based on comparison of said physiologic data with an adaptive threshold.

49. A biofeedback method as claimed in claim 48, wherein said adaptive threshold is determined by fuzzy logic.

50. A biofeedback method that enables biofeedback training to be accomplished during interaction by an individual with the individual'"'"'s environment comprising the steps of:

acquiring physiologic data concerning the individual;

using a processor to process the physiologic data and generate at least one control signal in response to said processing of the physiologic data;

interrupting or modifying sensory information received by the individual through a wearable device in response to said at least one control signal,

wherein said wearable device is an eyeglass device, said eyeglass device including a dynamic lens display, and said control signal being supplied to said dynamic lens display to modulate visual information received through said eyeglass device, and

wherein said physiologic data is EEG data, analysis of said physiologic data is carried out in the frequency domain and the transformed physiologic data is processed according to three input variables;

rate of change, deviation from expected level, and previously achieved performance.

51. A biofeedback method that enables biofeedback training to be accomplished during interaction by an individual with the individual'"'"'s environment, comprising the steps of:

acquiring physiologic data concerning the individual;

using a processor to process the physiologic data and generate at least one control signal in response to said processing of the physiologic data;

interrupting or modifying visual information received by the individual through a wearable device in response to said at least one control signal, and

wherein said physiologic data is EEG data, analysis of said physiologic data is carried out in the frequency domain and the transformed physiologic data is processed according to three input variables;

rate of change, deviation from expected level, and previously achieved performance.