Systems and methods for providing user insights based on heart rate variability
AssigneeBeijing Shunyuan Kaihua Technology Limited
InventorsArtem Galeev, Yan Vule
Life of this patent
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Abstract
A system can include a wearable device that obtains real-time physiological data and activity data from a user and transmits that data to another device. A computing device can receive HRV and activity data and determine whether the user's autonomic nervous system is in a predominantly sympathetic or parasympathetic state. For example, the determination can include comparing an average variance in a portion of the HRV data with a threshold value. In response to determining that the user's autonomic nervous system is in a sympathetic state, the device can perform an action.
Claims20
A system for providing user insights based on heart rate variability (HRV), comprising:
- a wearable device that obtains real-time physiological data from a user, obtains activity data from a user, and transmits the real-time physiological data and activity data;
- and
- a processor configured to:
- receive the physiological data and the activity data,
- wherein the physiological data is used to calculate the HRV,
- wherein the activity data describes at least two of a physical state of the user, the wearable device, or an environment of the user, and
- wherein the activity data comprises at least three of the accelerometer-based movements of the user, illumination information, illumination change information, atmospheric pressure information, activity type, apparel worn by the user, running speed and distance information, step information, temperature information, temperature change information, light frequency, sound information, or location information;
- identify, using the activity data, a stationary state of the user;
- and
- in response to identifying the stationary state:
- determine, based on correlating the physiological data and the activity data, whether the user's autonomic nervous system is in a predominantly parasympathetic state;
- and
- in response to determining that the user's autonomic nervous system is in a parasympathetic state, perform an action.
A method for providing user insights based on heart rate variability, comprising:
- receiving physiological data and activity data obtained in real time from a user;
- determining, based on the physiological data and the activity data, whether the user's autonomic nervous system is in a predominantly parasympathetic state by steps comprising;
- identifying, using the activity data, a stationary state of the user using a body state of the user, wherein the stationary state is identified using criteria including identifying the stationary state when a same body position or pose of the user is kept and a heart rate does not change abruptly during a time threshold;
- and
- in response to not identifying an activity associated with the stationary state, calculating a first heart rate variation indicium and a second heart rate variation indicium separately according to when the same body position or pose was unchanged and after the body position or pose changed;
- and
- in response to determining that the user's autonomic nervous system is in a parasympathetic state, performing an action.
A non-transitory, computer-readable medium containing instructions that, when executed by the processor of a computing device, cause the processor to carry out stages for providing user insights based on heart rate variability, the stages comprising:
- receiving physiological data and activity data obtained in real time from a user,
- wherein the physiological data is used to calculate the HRV,
- wherein the activity data describes at least two of a physical state of the user, the wearable device, or an environment of the user, and
- wherein the activity data comprises at least three of the accelerometer-based movements of the user, illumination information, illumination change information, atmospheric pressure information, activity type, apparel worn by the user, running speed and distance information, step information, temperature information, temperature change information, light frequency, sound information, or location information;
- identify, using the activity data, a stationary state of the user;
- and
- in response to identifying the stationary state:
- determine, based on correlating the physiological data and the activity data, whether the user's autonomic nervous system is in a predominantly parasympathetic state;
- and
- in response to determining that the user's autonomic nervous system is in a parasympathetic state, perform an action.
Dependencies are inferred from the claim text.