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US 12,633,406 B2Granted
System and method for adaptive user experience cycle profiling under anomalous environmental respiratory conditions
AssigneeSpectronix Ltd.
InventorPatrick Assouad
Life of this patent
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Abstract
Described are various embodiments of a system and method for adaptive user experience cycle profiling under anomalous environmental respiratory conditions, such as in hyperbaric or hypobaric environments. In one embodiment, the system comprises an environmental sensor operable to monitor a respiratory environment parameter representative of the anomalous environmental respiratory condition that defines the experience cycle; and a physiological sensor operable to concurrently monitor a physiological parameter representative of the user's cumulative physiological response to the anomalous environmental respiratory condition over time during the experience cycle.
Claims21
An system for monitoring a user exposed to an anomalous environmental respiratory condition during an anomalous respiratory environment experience cycle having a maximum exposure risk defined therefor, the system comprising:
- an environmental sensor operable to monitor a respiratory environment parameter representative of the anomalous environmental respiratory condition that defines the experience cycle;
- a physiological sensor operable to concurrently monitor a physiological parameter representative of the user's cumulative physiological response to the anomalous environmental respiratory condition over time during the experience cycle;
- and
- a digital data processor having stored in association therewith operable to monitor said physiological parameter against a user-agnostic exposure risk profile designated to avoid exceeding the maximum exposure risk for a generic user exposed to the experience cycle based on an anticipated condition of the generic user as a function of a cumulative exposure during the experience cycle, wherein said digital data processor is operable to monitor said physiological parameter against said user-agnostic exposure risk profile and identify therefrom an adapted user-specific exposure risk profile that deviates from said user-agnostic exposure risk profile to automatically output an adaptive exposure risk indicator in accordance with said adapted user-specific exposure risk profile that adaptively guides customization of the experience cycle while adhering to the maximum exposure risk;
- wherein said digital data processor automatically evaluates a user's current condition based on said physiological parameter;
- upon said current condition being automatically evaluated as substantially worse than the anticipated condition for a current cumulative exposure, automatically adapts said user-specific exposure risk profile to reflect an increased user-specific cumulative exposure risk for the user and thereby reduce an overall acceptable cumulative exposure setting associated with the experience cycle;
- upon said current condition being automatically evaluated as substantially better than the anticipated condition for a current cumulative exposure, automatically adapts said user-specific exposure risk profile to reflect a reduced user-specific cumulative exposure risk for the user and thereby increase an overall acceptable cumulative exposure setting associated with the experience cycle.
4 more elements
A computer-implemented method, implemented by one or more digital processors, for monitoring a user exposed to an anomalous environmental respiratory condition during an anomalous respiratory environment experience cycle having a maximum exposure risk defined therefor, the method comprising:
- receiving as input, via an environmental sensor, a respiratory environment parameter representative of the anomalous environmental respiratory condition that defines the experience cycle;
- concurrently receiving as input, via a physiological sensor, a physiological parameter representative of the user's cumulative physiological response to the anomalous environmental respiratory condition over time during the experience cycle;
- and
- digitally monitoring said physiological parameter against a stored user-agnostic exposure risk profile designated to avoid exceeding the maximum exposure risk for a generic user exposed to the experience cycle based on an anticipated condition of the generic user as a function of a cumulative exposure during the experience cycle, and identifying therefrom an adapted user-specific exposure risk profile that deviates from said user-agnostic exposure risk profile;
- and
- automatically outputting an adaptive exposure risk indicator in accordance with said adapted user-specific exposure risk profile that adaptively guides customization of the experience cycle while adhering to the maximum exposure risk, wherein said user-agnostic exposure risk profile is adaptively computed over time based on said respiratory environment parameter;
- wherein said monitoring and identifying comprises automatically evaluating a user's current condition based on said physiological parameter;
- upon said current condition being automatically evaluated as substantially worse than an anticipated condition for a current cumulative exposure, automatically adapting said user-specific exposure risk profile to reflect an increased user-specific cumulative exposure risk for the user and thereby reduce an overall acceptable cumulative exposure setting associated with the experience cycle;
- and
- upon said current condition being automatically evaluated as substantially better than an anticipated condition for a current cumulative exposure, automatically adapting said user-specific exposure risk profile to reflect a reduced user-specific cumulative exposure risk for the user and thereby increase an overall acceptable cumulative exposure setting associated with the experience cycle.
7 more elements
A non-transitory computer-readable medium comprising digital instructions for implementation by one or more digital processors for monitoring a user exposed to an anomalous environmental respiratory condition during an anomalous respiratory environment experience cycle having a maximum exposure risk defined therefor, by:
- accessing a respiratory environment parameter representative of the anomalous environmental respiratory condition that defines the experience cycle;
- concurrently accessing a physiological parameter representative of the user's cumulative physiological response to the anomalous environmental respiratory condition over time during the experience cycle;
- and
- digitally monitoring said physiological parameter against a stored user-agnostic exposure risk profile designated to avoid exceeding the maximum exposure risk for a generic user exposed to the experience cycle based on an anticipated condition of the generic user as a function of a cumulative exposure during the experience cycle, and identifying therefrom an adapted user-specific exposure risk profile that deviates from said user-agnostic exposure risk profile;
- and
- automatically outputting an adaptive exposure risk indicator in accordance with said adapted user-specific exposure risk profile that adaptively guides customization of the experience cycle while adhering to the maximum exposure risk, wherein said user-agnostic exposure risk profile is adaptively computed over time based on said respiratory environment parameter;
- wherein said monitoring and identifying comprises automatically evaluating a user's current condition based on said physiological parameter;
- upon said current condition being automatically evaluated as substantially worse than an anticipated condition for a current cumulative exposure, automatically adapting said user-specific exposure risk profile to reflect an increased user-specific cumulative exposure risk for the user and thereby reduce an overall acceptable cumulative exposure setting associated with the experience cycle;
- and
- upon said current condition being automatically evaluated as substantially better than an anticipated condition for a current cumulative exposure, automatically adapting said user-specific exposure risk profile to reflect a reduced user-specific cumulative exposure risk for the user and thereby increase an overall acceptable cumulative exposure setting associated with the experience cycle.
7 more elements
Dependencies are inferred from the claim text.