Health state monitoring device
AssigneeRazzberry, Inc.
InventorAlexandra Barton-Sweeney
Life of this patent
Estimating the term…
Abstract
A system and method for determining a user's physical condition such as a hormonal level are provided. The system includes a portable or wearable device that measures multiple biomarkers, such as basal body temperature, saliva salinity, saliva pH, sweat ions, skin thickness, vitamin levels or breath carbon dioxide. The system determines the physical condition, such as the fertility level of the user based on comparing the measured biomarkers with data models. The determined physical condition, such as the fertility level, is communicated to allow the user to know their status.
Claims20
A system comprising:
- a sensor configured to measure values of at least one biomarker of a user, the sensor comprising a printed sensor configured to be in direct contact with the user's skin to sense a chemical concentration;
- and
- a controller operably coupled to the sensor, the controller having a processor and memory, the processor configured to execute computer readable instructions for performing operations comprising:
- determining, based on the measured values and a data model stored in the memory that is associated with the at least one biomarker, whether the user is currently in a fertile window of a menstrual cycle of the user;
- based on determining that the user is currently not in a fertile window of a menstrual cycle of the user, assigning a non-fertile status as a fertility status of the user;
- based on determining that the user is currently in a fertile window of the menstrual cycle of the user, determining the fertility status of the user based on the measured values and the data model, the fertility status selected from the non-overlapping group consisting of:
- start of the fertile window, peak fertility level in the fertile window, ovulation, and other point in time in the fertile window;
- determining a suggested action related to pregnancy based on the fertility status of the user;
- and
- outputting the suggested action to the user,
- wherein the data model comprises one or both of a population data model and a personal data model.
A method of determining a user's physiological condition, the method comprising:
- providing a device with a sensor configured to measure values of at least one biomarker of a user, the sensor comprising a printed sensor configured to be in direct contact with the user's skin to sense a chemical concentration;
- measuring values of the at least one biomarker of the user with the sensor;
- comparing each of the measured values with a data model associated with the at least one biomarker;
- determining the user's physiological condition based on at least one of the measured values and the data model;
- and
- activating an indicator in response to determining the user's physiological condition, the indicator suggesting an action related to the determined physiological condition of the user,
- wherein the data model comprises one or both of a population data model and a personal data model.
A system comprising:
- a sensor configured to measure values of at least one biomarker of a user, the sensor comprising a printed sensor configured to be in direct contact with the user's skin to sense a chemical concentration;
- and
- a controller operably coupled to the sensor, the controller having a processor and a memory, the processor configured to execute computer readable instructions when executed on the processor for:
- measuring values of the at least one biomarker of the user with the sensor;
- comparing each of the measured values with a data model associated with the at least one biomarker;
- determining the user's physiological condition based on at least one of the measured values and the data model;
- and
- activating an indicator in response to determining the user's physiological condition, the indicator suggesting an action related to the determined physiological condition of the user,
- wherein the data model comprises one or both of a population data model and a personal data model.
Dependencies are inferred from the claim text.