Abstract: A method of improving psychophysiological function of a subject performing a stress-inducing activity using a computer includes, after a plurality of sensors that monitor stress-indicating physiological parameters have been coupled to the subject and to the computer, providing, by the computer to the subject, a set of training segments that each present the subject with one or more visual, audible, or tactile prompts, wherein in at least one of the training segments, the prompts induce the subject to simultaneously perform both the stress-inducing activity and a relaxation-inducing protocol. The computer provides the set of training segments until a value of at least one physiological parameter that indicates stress in the subject is within a pre-defined range of a baseline value of the parameter, thereby indicating that the subject has successfully performed the stress-inducing activity while maintaining alertness with a relative minimum of stress.
Type:
Grant
Filed:
June 5, 2017
Date of Patent:
September 1, 2020
Assignee:
Biofeedback Systems Design, LLC
Inventors:
Daniel A. Kusik, Dejan Stankovic, Andrew M. Bourhis
Abstract: A method of improving psychophysiological function of a subject performing a stress-inducing activity using a computer includes, after a plurality of sensors that monitor stress-indicating physiological parameters have been coupled to the subject and to the computer, providing, by the computer to the subject, a set of training segments that each present the subject with one or more visual, audible, or tactile prompts, wherein in at least one of the training segments, the prompts induce the subject to simultaneously perform both the stress-inducing activity and a relaxation-inducing protocol. The computer provides the set of training segments until a value of at least one physiological parameter that indicates stress in the subject is within a pre-defined range of a baseline value of the parameter, thereby indicating that the subject has successfully performed the stress-inducing activity while maintaining alertness with a relative minimum of stress.
Type:
Grant
Filed:
July 6, 2016
Date of Patent:
June 6, 2017
Assignee:
Biofeedback Systems Design, LLC
Inventors:
Daniel A. Kusik, Dejan Stankovic, Andrew M. Bourhis
Abstract: A computer-implemented method for improving psychophysiological function for performance of a subject under stress includes, after a plurality of sensors that monitor stress-indicating physiological parameters have been coupled to the subject, exposing the subject, using computer processes, to at least one training segment during which is determined a degree to which the subject has achieved a targeted level of least one stress-indicating physiological parameter as to be indicative of coherence in the subject. Additionally, the method includes providing, to the subject, feedback indicative of the degree to which the subject has achieved the targeted level of the at least one parameter as to be indicative of coherence in the subject.
Type:
Grant
Filed:
August 11, 2015
Date of Patent:
August 2, 2016
Assignee:
Biofeedback Systems Design, LLC
Inventors:
Daniel A. Kusik, Dejan Stankovic, Andrew M. Bourhis
Abstract: A computer-implemented method for improving psychophysiological function for performance of a subject under stress includes, after a plurality of sensors that monitor stress-indicating physiological parameters have been coupled to the subject, exposing the subject, using computer processes, to at least one training segment during which is determined a degree to which the subject has achieved a targeted level of least one stress-indicating physiological parameter as to be indicative of coherence in the subject. Additionally, the method includes providing, to the subject, feedback indicative of the degree to which the subject has achieved the targeted level of the at least one parameter as to be indicative of coherence in the subject.
Type:
Grant
Filed:
June 19, 2014
Date of Patent:
September 22, 2015
Assignee:
Biofeedback Systems Design, LLC
Inventors:
Daniel Kusik, Dejan Stankovic, Andrew M. Bourhis