System and method for adaptive user experience cycle profiling under anomalous environmental respiratory conditions
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.
1 . 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.
2 . The system of claim 1 , wherein said digital data processor is operable to adaptively compute said user-agnostic exposure risk profile over time based on said respiratory environment parameter.
3 . The system of claim 1 , wherein said adaptive exposure risk indicator comprises an adaptive maximum experience duration value, wherein said adaptive maximum experience duration value is set for a given or a maximum depth.
4 . The system of claim 1 , wherein the experience comprises a hypobaric experience, and wherein said respiratory environment parameter comprises a current high altitude value and an exposure duration for said current high altitude.
5 . The system of claim 1 , wherein the experience comprises a hyperbaric experience, and wherein said respiratory environment parameter comprises a current depth and an exposure duration for said depth.
6 . The system of claim 1 , wherein said physiological parameter comprises at least one of a blood oxygen value or a tissue oxygen value.
7 . The system of claim 1 , wherein said physiological parameter comprises an absolute concentration of at least one of deoxyhemoglobin, oxyhemoglobin or dissolved oxygen.
8 . The system of claim 1 , wherein said physiological parameter comprises at least three of carbon monoxide, melanin, cytochrome oxidase, oxyhemoglobin, or deoxyhemoglobin.
9 . The system of claim 1 , wherein said physiological parameter comprises at least one of a blood inert gas value or a tissue inert gas value.
10 . The system of claim 1 , wherein said digital data processor is further operable to automatically evaluate said adapted user-specific exposure risk profile over multiple exposure cycles to predictively output subsequent adapted user-specific exposure risk profiles, wherein each said adapted user-specific exposure risk profile is digitally evaluated to update a user-specific physiological response model representative of the user's anticipated response to said multiple exposure cycles, and wherein said user-agnostic exposure risk profile is automatically adapted for a subsequent exposure cycle as a function of said user-specific physiological response model.
11 . The system of claim 1 , wherein said physiological sensor comprise an infrared or near-infrared probe, wherein said physiological sensor comprises a broad spectrum oximeter.
12 . 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.
13 . The computer-implemented method of claim 12 , wherein said adaptive exposure risk indicator comprises an adaptive maximum experience duration value, wherein said adaptive maximum experience duration value is set for a given or a maximum depth.
14 . The computer-implemented method of claim 12 , wherein the experience comprises a hypobaric experience, and wherein said respiratory environment parameter comprises a current high altitude value and an exposure duration for said current high altitude.
15 . The computer-implemented method of claim 12 , wherein the experience comprises a hyperbaric experience, and wherein said respiratory environment parameter comprises a current depth and an exposure duration for said depth.
16 . The computer-implemented method of claim 12 , further comprising automatically evaluating said adapted user-specific exposure risk profile over multiple exposure cycles to predictively output subsequent adapted user-specific exposure risk profiles, wherein each said adapted user-specific exposure risk profile is digitally evaluated to update a user-specific physiological response model representative of the user's anticipated response to said multiple exposure cycles, and wherein said user-agnostic exposure risk profile is automatically adapted for a subsequent exposure cycle as a function of said user-specific physiological response model.
17 . 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.
18 . The non-transitory computer-readable medium of claim 17 , wherein said adaptive exposure risk indicator comprises an adaptive maximum experience duration value, wherein said adaptive maximum experience duration value is set for a given or a maximum depth.
19 . The non-transitory computer-readable medium of claim 17 , wherein the experience comprises a hypobaric experience, and wherein said respiratory environment parameter comprises a current high altitude value and an exposure duration for said current high altitude.
20 . The non-transitory computer-readable medium of claim 17 , wherein the experience comprises a hyperbaric experience, and wherein said respiratory environment parameter comprises a current depth and an exposure duration for said depth.
21 . The non-transitory computer-readable medium of claim 17 , further comprising automatically evaluating said adapted user-specific exposure risk profile over multiple exposure cycles to predictively output subsequent adapted user-specific exposure risk profiles, wherein each said adapted user-specific exposure risk profile is digitally evaluated to update a user-specific physiological response model representative of the user's anticipated response to said multiple exposure cycles, and wherein said user-agnostic exposure risk profile is automatically adapted for a subsequent exposure cycle as a function of said user-specific physiological response model.