# US 11,076,766 B2 · Systems and methods for providing user insights based on heart rate variability > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,076,766 B2 - Document ID: US11076766B2 - Status: Granted - Kind: B2 - Application number: 15/956,132 - Filed: 2018-04-18 - Published: 2018-10-25 - Granted: 2021-08-03 - Earliest claimed: 2017-04-19 - Assignees: Beijing Shunyuan Kaihua Technology Limited - Applicants: Beijing Shunyuan Kaihua Technology Limited - Inventors: Artem Galeev; Yan Vule - Web page: https://patentgrep.com/patent/US11076766B2 ## CPC - A61B 5/02405: {Determining heart rate variability} - A61B 5/4035: {Evaluating the autonomic nervous system} - A61B 5/0082: {adapted for particular medical purposes} - A61B 5/0205: Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition - A61B 5/02438: {with portable devices, e.g. worn by the patient} - A61B 5/1118: {Determining activity level} - A61B 5/14532: {for measuring glucose, e.g. by tissue impedance measurement} - A61B 5/1455: using optical sensors, e.g. spectral photometrical oximeters - A61B 5/681: {Wristwatch-type devices} - A61B 5/7207: {of noise induced by motion artifacts} - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) ## 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. ## Claims ### Claim 1 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. ### Claim 2 (depends on 1) The system of claim 1, wherein determining whether the user's autonomic nervous system is in a predominantly parasympathetic state comprises calculating a heart rate variability score and comparing the score to a threshold value. ### Claim 3 (depends on 1) The system of claim 1, wherein determining whether the user's autonomic nervous system is in a predominantly parasympathetic state comprises calculating a heart rate variability score, weighting the score based on information associated with the user, and comparing the weighted score to a threshold value. ### Claim 4 (depends on 3) The system of claim 3, wherein the information associated with the user includes at least one of the user's age, sex, physical fitness level, and fitness history. ### Claim 5 (depends on 1) The system of claim 1, wherein performing an action comprises providing an alert to the user indicating that the user is under stress. ### Claim 6 (depends on 1) The system of claim 1, wherein performing an action comprises recommending an activity for the user to perform. ### Claim 7 (depends on 1) The system of claim 1, wherein performing an action comprises dimming or turning off a light. ### Claim 8 (depends on 1) The system of claim 1, wherein performing an action comprises playing music or adjusting the volume of music. ### Claim 9 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. ### Claim 10 (depends on 9) The method of claim 9, wherein determining whether the user's autonomic nervous system is in a predominantly parasympathetic state comprises calculating a heart rate variability score and comparing the score to a threshold value. ### Claim 11 (depends on 9) The method of claim 9, wherein determining whether the user's autonomic nervous system is in a predominantly parasympathetic state comprises calculating a heart rate variability score, weighting the score based on information associated with the user, and comparing the weighted score to a threshold value. ### Claim 12 (depends on 11) The method of claim 11, wherein the information associated with the user includes at least one of the user's age, sex, physical fitness level, and fitness history. ### Claim 13 (depends on 9) The method of claim 9, wherein performing an action comprises providing an alert to the user indicating that the user is under stress. ### Claim 14 (depends on 9) The method of claim 9, wherein performing an action comprises recommending an activity for the user to perform. ### Claim 15 (depends on 9) The method of claim 9, wherein performing an action comprises a first action of dimming or turning off a light or a second action of playing music or adjusting the volume of the music. ### Claim 16 (depends on 9) The method of claim 9, further comprising: calculating a plurality of heart rate variability scores using at least the physiological data for a respective plurality of time periods; and displaying, on a device of the user, each of the plurality of the heart rate variability scores in a respective slice of a doughnut-shaped graph, wherein the respective slices have equal widths, wherein the respective slices have respective heights indicative of respective magnitudes of the heart rate variability scores, and wherein an average of the plurality of the heart rate variability scores is displayed at a center of the doughnut-shaped graph. ### Claim 17 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. ### Claim 18 (depends on 17) The non-transitory, computer-readable medium of claim 17, further comprising: determining, based on at least the physiological data, whether the user's autonomic nervous system is in a predominantly parasympathetic state, wherein determining whether the user's autonomic nervous system is in a predominantly parasympathetic state comprises calculating a heart rate variability score and comparing the score to a threshold value; and in response to determining that the user's autonomic system is in a parasympathetic state and to identifying that the user is driving: identifying based on the location of the user a proximal location to stop; and informing the user to stop at the location to perform an activity, wherein the activity is at least one of resting or exercising. ### Claim 19 (depends on 17) The non-transitory, computer-readable medium of claim 17, wherein determining whether the user's autonomic nervous system is in a predominantly parasympathetic state comprises calculating a heart rate variability score, weighting the score based on information associated with the user, and comparing the weighted score to a threshold value. ### Claim 20 (depends on 19) The non-transitory, computer-readable medium of claim 19, wherein the information associated with the user includes at least one of the user's age, sex, physical fitness level, and fitness history.