Systems and methods for real-time data quantification, acquisition, analysis, and feedback
Abstract
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.
Claims
exact text as granted — not AI-modified1 - 18 . (canceled)
19 . 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 the user associated with a type of activity; determining, based on the user, that a baseline adjustment is available, wherein the baseline adjustment varies based on the user and a location of one or more of the one or more motion sensors, 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 baseline adjustment.
20 . The method of claim 19 , 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.
21 . The method of claim 20 , wherein:
the baseline adjustment is applied to the first motion sensor; and the baseline adjustment is not applied to the second motion sensor.
22 . The method of claim 20 , wherein:
the baseline adjustment is applied to the first motion sensor and the second motion sensor; and the baseline adjustment for the second motion sensor differs from the baseline adjustment for the first motion sensor.
23 . The method of claim 19 , 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 applying the baseline adjustment to the received data.
24 . The method of claim 19 , 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 applying the baseline adjustment to the received data.
25 . A system for calibrating data received from a motion sensor located at a location on a body of a user comprising:
one or more motion sensors; 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 the user associated with a type of activity;
determining, based on the user, that a baseline adjustment is available, wherein the baseline adjustment varies based on the user and a location of one or more of the one or more motion sensors, 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 baseline adjustment.
26 . The system of claim 25 , 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.
27 . The system of claim 26 , wherein:
the baseline adjustment applies to the first motion sensor; and the baseline adjustment does not apply to the second motion sensor.
28 . The system of claim 26 , wherein:
the baseline adjustment applies to the first motion sensor and the second motion sensor; and the baseline adjustment for the second motion sensor differs from the baseline adjustment for the first motion sensor.
29 . The system of claim 25 , 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 applying the baseline adjustment to the received data.
30 . The system of claim 25 , 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 applying the baseline adjustment to the received data.
31 . A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
determining a user associated with a type of activity; determining, based on the user, that a baseline adjustment is available, wherein the baseline adjustment varies based on the use and a location of one or more of one or more motion sensors, 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 baseline adjustment.
32 . The medium of claim 31 , 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.
33 . The medium of claim 32 , wherein:
the baseline adjustment applies to the first motion sensor; and the baseline adjustment does not apply to the second motion sensor.
34 . The medium of claim 32 , wherein:
the baseline adjustment applies to the first motion sensor and the second motion sensor; and the baseline adjustment for the second motion sensor differs from the baseline adjustment for the first motion sensor.
35 . The medium of claim 31 , 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 applying the baseline adjustment to the received data.
36 . The medium of claim 31 , 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 applying the baseline adjustment to the received data.Join the waitlist — get patent alerts
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