Systems and methods for monitoring and updating blood flow calculations with user-specific anatomic and physiologic sensor data
Systems and methods are disclosed for informing and monitoring blood flow calculations with user-specific activity data, including sensor data. One method includes receiving or accessing a user-specific anatomical model and a first set of physiological characteristics of a user; calculating a first value of a blood flow metric of the user based on the user-specific anatomical model and the first set of physiological characteristics; receiving or calculating a second set of physiological characteristics of the user by accessing or receiving sensor data of the user's blood flow and/or sensor data of the user's physiological characteristics; and calculating second value of the blood flow metric of the user based on the user-specific anatomical model and the second set of physiological characteristics of the user.
1. A computer-implemented method of calculating blood flow metrics using sensor data, the method comprising:
receiving or accessing a user-specific anatomical model and a first set of physiological characteristics of a user;
computing or receiving first values of a plurality of blood flow metrics of the user based on the user-specific anatomical model and the first set of physiological characteristics;
detecting a sensor of a wearable device associated with the user;
based on the detected sensor, selecting at least one of the plurality of blood flow metrics;
receiving sensor data from the detected sensor, the sensor data comprising activity data of the user's blood flow or the user's physiological characteristics over a period of time in which the user performed an activity; and
computing a second value of the selected blood flow metric of the user based on the user-specific anatomical model and the activity data.
2. The computer-implemented method of claim 1 , further comprising:
determining a blood flow model to use to compute the second value of the selected blood flow metric; and
updating the blood flow model based on the received sensor data.
3. The computer-implemented method of claim 2 , wherein the blood flow model is based on a user-specific boundary condition, and updating the blood flow model comprises updating the user-specific boundary condition based on the sensor data.
4. The computer-implemented method of claim 2 , wherein the blood flow model is based on the user-specific anatomical model, and updating the blood flow model comprises updating the user-specific anatomical model based on the sensor data.
5. The computer-implemented method of claim 1 , further comprising:
receiving stored sensor data associated with the user, wherein the stored sensor data is collected at a first point in time prior to collection of the sensor data of the user's blood flow or collection of the sensor data of the user's physiological characteristics;
determining a blood flow model based on the stored sensor data; and
computing the second value of the selected blood flow metric of the user further based on the determined blood flow model.
6. The computer-implemented method of claim 1 , further comprising:
receiving stored sensor data associated with an individual other than the user;
determining a blood flow model based on the stored sensor data; and
computing the second value of the second blood flow metric of the user further based on the determined blood flow model.
7. The computer-implemented method of claim 6 , further comprising:
identifying a user group associated with the user; and
identifying the individual based on the user group associated with the user.
8. The computer-implemented method of claim 1 , further comprising:
based on the selected blood flow metric, selecting which sensor data to use for the computing the second value.
9. A system for calculating blood flow metrics using sensor data, the system comprising:
at least one data storage device storing instructions of calculating blood flow metrics using sensor data; and
at least one processor configured to execute the instructions to perform a method including:
receiving or accessing a user-specific anatomical model and a first set of physiological characteristics of a user;
computing or receiving first values of a plurality of blood flow metrics of the user based on the user-specific anatomical model and the first set of physiological characteristics;
detecting a sensor of a wearable device associated with the user;
based on the detected sensor, selecting at least one of the plurality of blood flow metrics;
receiving sensor data from the detected sensor, the sensor data comprising activity data of the user's blood flow or the user's physiological characteristics over a period of time in which the user performed an activity; and
computing a second value of the selected blood flow metric of the user based on the user-specific anatomical model and the activity data.
10. The system of claim 9 , wherein the system is further configured for:
determining a blood flow model to use to compute the second value of the selected blood flow metric; and
updating the blood flow model based on the received sensor data.
11. The system of claim 10 , wherein the blood flow model is based on a user-specific boundary condition, and updating the blood flow model comprises updating the user-specific boundary condition based on the sensor data.
12. The system of claim 10 , wherein the blood flow model is based on the user-specific anatomical model, and updating the blood flow model comprises updating the user-specific anatomical model based on the sensor data.
13. The system of claim 9 , wherein the system is further configured for:
receiving stored sensor data associated with the user, wherein the stored sensor data is collected at a first point in time prior to collection of the sensor data of the user's blood flow or collection of the sensor data of the user's physiological characteristics;
determining a blood flow model based on the stored sensor data; and
computing the selected second value of the blood flow metric of the user further based on the determined blood flow model.
14. The system of claim 13 , where the system is further configured for:
receiving stored sensor data associated with an individual other than the user;
determining a blood flow model based on the stored sensor data; and
computing the selected second value of the blood flow metric of the user further based on the determined blood flow model.
15. The system of claim 14 , wherein the system is further configured for:
identifying a user group associated with the user; and
identifying the individual based on the user group associated with the user.
16. The system of claim 9 , wherein the system is further configured for:
based on the selected blood flow metric, selecting which sensor data to use for the computing the second value.
17. A non-transitory computer readable medium for use on a computer system containing computer-executable programming instructions for performing a method of calculating blood flow metrics using sensor data, the method comprising:
receiving or accessing a user-specific anatomical model and a first set of physiological characteristics of a user;
computing or receiving first values of a plurality of blood flow metrics of the user based on the user-specific anatomical model and the first set of physiological characteristics;
detecting a sensor of a wearable device associated with the user;
receiving sensor data from the detected sensor, the sensor data comprising activity data of the user's blood flow or the user's physiological characteristics over a period of time in which the user performed an activity;
based on the detected sensor, selecting which of the plurality of blood flow metrics to calculate; and
computing a second value of the selected blood flow metric of the user based on the user-specific anatomical model and the activity data.
18. The non-transitory computer readable medium of claim 17 , the method further comprising:
determining a blood flow model to use to compute the second value of the selected blood flow metric; and
updating the blood flow model based on the received sensor data.
19. The non-transitory computer readable medium of claim 18 , wherein the blood flow model is based on a user-specific boundary condition, and updating the blood flow model comprises updating the user-specific boundary condition based on the sensor data.
20. The non-transitory computer readable medium of claim 18 , wherein the blood flow model is based on the user-specific anatomical model, and updating the blood flow model comprises updating the user-specific anatomical model based on the sensor data.