Systems and methods for real-time data quantification, acquisition, analysis, and feedback
This disclosure relates to systems, media, and methods for quantifying and monitoring exercise parameters and/or motion parameters, including performing data acquisition, analysis, and providing scientifically valid, clinically relevant, and/or actionable diagnostic feedback. Embodiments may be related to systems, devices, methods, and computer-readable media for providing baseline-adjusted real-time feedback to a user. Embodiments may include determining a type of activity for the user. Embodiment may include receiving data from the one or more motion sensors indicating a time-dependent series of three axis acceleration data and three-axis orientation data. Embodiments additionally may include providing a graphical user interface with a real-time representation of the received data. The real-time representation may include a scaled representation of at least one dimension of the time-dependent series of three axis acceleration data and three-axis orientation data for at least one of the one or more motion sensors based on the updated baseline adjustment.
1. A method for providing a real-time display based on data from one or more motion sensors located at a location on a body of a user, comprising:
determining a type of activity for the user;
determining, based on the user and the type of activity, that an update is available for a baseline adjustment, wherein the baseline adjustment is updated based on a predicted level of physical capability of the user, and wherein the baseline adjustment is used to scale data received from one or more of the one or more motion sensors,
receiving data from the one or more motion sensors indicating a time-dependent series of three-axis acceleration data and three-axis orientation data; and
providing a graphical user interface with a real-time representation of the received data, wherein the real-time representation includes a scaled representation of at least one dimension of the time-dependent series of three axis acceleration data and three-axis orientation data for at least one of the one or more motion sensors based on the updated baseline adjustment.
2. The method of claim 1 , wherein updating the baseline adjustment based on the predicted level of physical capability of the user comprises updating the baseline adjustment based on a type of surgery performed on the user.
3. The method of claim 1 , wherein updating the baseline adjustment based on the predicted level of physical capability of the user comprises updating the baseline adjustment based on a lack of activity detected from the user.
4. The method of claim 1 , wherein updating the baseline adjustment based on the predicted level of physical capability of the user comprises updating the baseline adjustment based on a progress of the user in one or more prior exercises.
5. The method of claim 1 , wherein the baseline adjustment is further updated based on the type of activity of the user and a location of one or more of the one or more motion sensors.
6. The method of claim 1 , wherein:
the one or more motion sensors includes a first motion sensor and a second motion sensor;
the first motion sensor is associated with a limb of the user on a left side of the user; and
the second motion sensor is associated with a limb of the user on a right side of the user.
7. The method of claim 6 , wherein:
the updated baseline adjustment applies to the first motion sensor; and
the updated baseline adjustment does not apply to the second motion sensor.
8. The method of claim 6 , wherein:
the updated baseline adjustment applies to the first motion sensor and the second motion sensor; and
the updated baseline adjustment for the second motion sensor differs from the updated baseline adjustment for the first motion sensor.
9. The method of claim 1 , wherein:
the real-time representation of the received data in the graphical user interface is a bar chart depicting vertical displacement of the one or more motion sensors based on the updated baseline adjustment of the received data.
10. The method of claim 1 , wherein:
the real-time representation of the received data in the graphical user interface depicts the orientation of the one or more motion sensors based on the updated baseline adjustment of the received data.
11. A system for providing a real-time display based on data from one or more motion sensors located at a location on a body of a user, comprising:
one or more motion sensors that include one or more inertial measurement units;
a non-transitory computer readable storage medium configured to store instructions; and
one or more processors programmed to execute the stored instructions to perform a method comprising:
determining a type of activity for the user;
determining, based on the user and the type of activity, that an update is available for a baseline adjustment, wherein the baseline adjustment is updated based on a predicted level of physical capability of the user, and wherein the baseline adjustment is used to scale data received from one or more of the one or more motion sensors,
receiving data from the one or more motion sensors indicating a time-dependent series of three-axis acceleration data and three-axis orientation data; and
providing a graphical user interface with a real-time representation of the received data, wherein the real-time representation includes a scaled representation of at least one dimension of the time-dependent series of three axis acceleration data and three-axis orientation data for at least one of the one or more motion sensors based on the updated baseline adjustment.
12. The system of claim 11 , wherein updating the baseline adjustment based on the predicted level of physical capability of the user comprises updating the baseline adjustment based on a type of surgery performed on the user.
13. The system of claim 11 , wherein updating the baseline adjustment based on the predicted level of physical capability of the user comprises updating the baseline adjustment based on a lack of activity detected from the user.
14. The system of claim 11 , wherein updating the baseline adjustment based on the predicted level of physical capability of the user comprises updating the baseline adjustment based on a progress of the user in one or more prior exercises.
15. The system of claim 11 , wherein the baseline adjustment is further updated based on the type of activity of the user and a location of one or more of the one or more motion sensors.
16. The system of claim 11 , wherein:
the one or more motion sensors includes a first motion sensor and a second motion sensor;
the first motion sensor is associated with a limb of the user on a left side of the user; and
the second motion sensor is associated with a limb of the user on a right side of the user.
17. The system of claim 16 , wherein:
the updated baseline adjustment applies to the first motion sensor; and
the updated baseline adjustment does not apply to the second motion sensor.
18. The system of claim 16 , wherein:
the updated baseline adjustment applies to the first motion sensor and the second motion sensor; and
the updated baseline adjustment for the second motion sensor differs from the updated baseline adjustment for the first motion sensor.
19. The system of claim 11 , wherein:
the real-time representation of the received data in the graphical user interface is a bar chart depicting vertical displacement of the one or more motion sensors based on the updated baseline adjustment of the received data.
20. The system of claim 11 , wherein:
the real-time representation of the received data in the graphical user interface depicts the orientation of the one or more motion sensors based on the updated baseline adjustment of the received data.