Noise-based time computerized system and method for overcoming plateaus and burnouts and slowing aging
AssigneeOberon Sciences Ilan Ltd.
InventorYaron ILAN
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Abstract
Provided herein are computerized systems and methods for improving function of a subject, a group of subject, a team, a company, by introducing variability into work, for overcoming burnouts and more of the same problem, improving efficiency, preventing and/or slowing aging processes, and identifying, quantifying, and implementing at least one inherent variability pattern which is based on patterns learned from a specific subject and/or group of subjects and/or companies.
Claims20
A method for improving function and performance and/or for preventing, mitigating, or overcoming partial or complete loss of effect of regimen, due to adaptation to the regimen;
- and/or partial or complete loss of effect of device-generated maneuvers or stimulations administered to or used by a subject in need thereof, or non-responsiveness to challenged-regimens, and/or maximizing the effect of regimens or maneuvers, the method comprising:
- receiving a plurality of physiological or pathological parameters of the subject and/or information from the subject, a team and/or a company, and/or a device;
- applying an open or a closed loop machine learning algorithm on the plurality of physiological or pathological parameters;
- determining output parameters relating to subject, team and/or company-specific challenged regimens, for facilitating a continuous improvement of the regimen or device-based maneuver or stimulation, wherein the output parameters comprise regimen or maneuver parameters, thereof,
- utilizing a subject, team and/or company-tailored, continuously or semi-continuously randomization-based or non-randomization-based algorithm, for continually improving performance;
- and
- utilizing a subject-tailored, continuously or semi-continuously developing a randomization-based or non-randomization-based algorithm capable of mixing two or more work tasks, whether relevant to the target for improving function.
A system for preventing, mitigating and/or treating partial/complete loss of effect due to adaptation to a challenged-regimen and/or used in combination with device-generated maneuvers or stimulation parameters, administered to or used by a subject, team and/or a company in need thereof, or non-responsiveness to regimens, and continuously maximizing the beneficial effect of work regimens, and/or improving function, the system being continuous, semi-continuous, conditional or non-continuous closed loop, comprising one or more processing units configured for
- receiving, a plurality of physiological or pathological parameters of the subject, team and/or company, and/or information therefrom and/or device, or other sources;
- applying a closed-loop machine learning algorithm on the plurality of physiological or pathological parameters;
- determining output parameters relating to subject, team. and/or company-specific challenged-regimens, and/or in combination with device-generated maneuvers/stimulation parameters, for facilitating improvement of work regimens or device-based maneuvers, wherein the output parameters comprise regimen administration parameters, maneuver/stimulation parameters, or any combination thereof;
- using a subject/group of subjects/company-tailored continuously, semi-continuously, and non-continuous information for developing randomization-based or non-randomization-based algorithms for improving function following challenged regimens and/or any maneuver that can improve the function for continuously improving the performance related to the function of the said subject/group/company;
- using a subject/team/company-tailored continuously or semi-continuously developing a randomization-based algorithm that mixes two or more tasks, whether relevant to the task.
Dependencies are inferred from the claim text.