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CN-121971060-A - Comprehensive multi-modal computing for personal health navigation

CN121971060ACN 121971060 ACN121971060 ACN 121971060ACN-121971060-A

Abstract

A method (300) and apparatus (200) for personal wellness navigation. The method (300) includes a processor determining a personal state of health space including a set of connected biological states of an individual (302), the processor determining a region of interest within the personal state of health space for the individual, wherein the region of interest is defined by a target state relative to a current state of the individual, the target state being associated with a personal health target of the individual (304), the processor determining a route including the current state, the target state, and an intermediate state within the personal state of health space that is closer in distance to the target state than the current state (306), and the processor providing health instructions to the individual indicating a recommended action based on the connection between the current state and the intermediate state, wherein the recommended action is selected to direct the individual to transition to the intermediate state (308).

Inventors

  • Nate Nag
  • WU XIANJI
  • TANG MENGFAN
  • RAMESH JAIN

Assignees

  • 华米科技公司
  • 安徽华米健康科技有限公司

Dates

Publication Date
20260505
Application Date
20220615
Priority Date
20220602

Claims (20)

  1. 1. A method for personal wellness navigation, comprising: acquiring input from an individual indicative of a personal wellness target; Determining a target state associated with a personal wellness target of the individual; Determining a current state of the individual; Determining a route for the individual from the current state to the target state via one or more intermediate states, the route further comprising state transitions between states in the route, the state transitions being associated with user actions; Instructions are provided to the individual indicating recommended actions for directing the individual to transition from the current state to an intermediate state adjacent to the current state along the route.
  2. 2. The method of claim 1, the determining the current state of the individual comprising: Receiving, by at least one of a wearable device and a mobile device of the individual, a sensor data stream comprising at least one of physiological measurement data, heart rate data, activity pattern data, exercise data, and sleep data of the individual; And evaluating the current state of the individual according to the sensor data flow.
  3. 3. The method of claim 1 or 2, the determining the current state of the individual comprising: determining the risk of heart disease in said individual based on the risk of atherosclerotic cardiovascular disease ASCVD in said individual and correcting the risk of heart disease in said individual by means of a resting heart rate measured by said individual during deep sleep, or Based on sensor data acquired during exercise of the individual, a maximum oxygen uptake of the individual is estimated.
  4. 4. A method according to any one of claims 1 to 3, the determining a route of the individual from the current state to the target state via one or more intermediate states comprising: Determining a personalized state space model tailored for the individual based on domain knowledge related to the personal health goal and characteristic features of the individual and/or cardiovascular motor response indicators of the individual, the personalized state space model comprising a plurality of physiological states of the individual and inter-state transition rules associated with the plurality of physiological states, or The personalized state space model of the individual is determined based on the population to which the individual belongs and is modified based on physiological measurement data of the individual.
  5. 5. The method of claim 4, wherein the population to which the individual belongs is determined based on an index of cardiovascular motor response of the individual, or The group to which the individual belongs is determined based on at least one of the individual's exercise frequency, exercise intensity, exercise amount, or The group to which the individual belongs is determined by analyzing exercise data, heart rate data, and sleep data of the individual, or The characteristic features include at least one of gender and age, or The cardiovascular motor response index of the individual is dependent on the individual's resting heart rate over time.
  6. 6. The method of any one of claims 1 to 5, further comprising: Determining a new estimate of the current state of the individual based on a subsequent sensor data stream acquired after the instruction is provided to the individual; Based on the new estimate of the current state of the individual, the route of the individual to the target state is updated, and/or the subsequent recommended actions of the individual are updated.
  7. 7. The method of claim 6, the determining a new estimate of the current state of the individual based on a subsequent sensor data stream acquired after the instruction is provided to the individual, comprising: calculating a chronic training load and an acute training load of the individual based on a subsequent sensor data stream acquired after providing the instructions to the individual; Determining a training pressure balance indicator for the individual based on the chronic training load and the acute training load, the new estimate of the current state of the individual comprising at least one of the chronic training load, the acute training load, and the training pressure balance indicator.
  8. 8. The method of any one of claims 1 to 7, further comprising: determining an action performed by the individual based on a subsequent sensor data stream acquired after the instruction is provided to the individual; updating at least one of a current state of the individual, a route of the individual to the target state, and a recommended action of the individual according to an action performed by the individual.
  9. 9. The method of any of claims 6 to 8, the determining a new estimate of the current state of the individual, comprising: Upon determining that the individual has completed the recommended action, determining that the individual's current state is updated to an intermediate state adjacent to the current state, or Upon determining that the individual has taken another action other than the recommended action, the current state of the individual is updated to another state that is different from an intermediate state adjacent to the current state, wherein the route is updated based on the another state and the target state.
  10. 10. The method according to any one of claims 1 to 9, wherein the route is determined or updated based on at least one of the constraint that the individual's training pressure balance index remains within an optimal training zone, that the individual's acute training load and chronic training load gradually improve, that the individual's chronic training load in the next week differs from the chronic training load in the current week by less than a certain threshold, and that the individual's chronic training load increases no more than a certain number of times in a week.
  11. 11. The method according to any one of claims 1 to 10, wherein the target state is associated with a maximum oxygen uptake and a risk of heart disease in the individual, or The personal wellness goals include at least one of cardiovascular wellness, cardiopulmonary wellness, and athletic training goals, or The recommended action is at least one of sleep, exercise and meditation, or The recommended action includes exercise, and the instructions further include at least one of an exercise impulse, an exercise type, an exercise intensity, and an exercise duration.
  12. 12. The method of any of claims 1 to 11, the determination or updating of the route comprising: Decreasing the individual's weekly training impulse target in the current week if the individual's training pressure balance index for at least one day in the current week is below a certain threshold, or Determining or adjusting the training impulse target of the individual in the current week to the chronic training load of the individual in the last week, or Increasing or decreasing a proportion of the current chronic training load of the individual to obtain a weekly training impulse target of the individual at the current week, or In case the increase of the chronic training load of the individual reaches a specific threshold value, determining or adjusting the training impulse target of the individual at the current week to the training impulse target of the week before the previous week, or And increasing the weekly training impulse target of the individual in the current week under the condition that the chronic training load of the individual does not increase by a specific threshold value in the last week and the training pressure balance index of the individual every day in the last week reaches the specific threshold value.
  13. 13. The method of any one of claims 1 to 12, the determining a route of the individual from the current state to the target state via one or more intermediate states, comprising: Determining a plurality of selectable routes for the individual from the current state to the target state and providing the plurality of selectable routes for selection by the individual; the route is selected from the plurality of selectable routes based on selection input received from the individual.
  14. 14. A method for personal wellness navigation, comprising: acquiring input from an individual indicative of a personal wellness target; Decomposing the personal wellness target into a plurality of short-term sub-targets over time; providing to the individual a guide to achieve an adjacent sub-objective of the plurality of short-term sub-objectives, the guide comprising a recommended action.
  15. 15. The method of claim 14, the decomposing the personal wellness target into a plurality of short-term sub-targets over time, comprising: Determining at least one of a weekly training impulse target and a daily training impulse target of the individual based on the current state of the individual and the personal health target, or Determining a weekly training impulse target of the individual according to the current state of the individual and the personal health target, and evaluating the daily training impulse target of the individual based on the weekly training target of the individual.
  16. 16. The method of claim 14 or 15, the providing the individual with directions to achieve an adjacent sub-objective of the plurality of short-term sub-objectives, comprising: Determining at least one of the individual's workout intensity, workout duration, workout type, and heart rate interval on the day based on the individual's daily workout goals, or Determining the intensity and duration of the individual's exercise at the current week based on the individual's week training impulse target, or Daily training instructions are provided to the individual based on the daily training impulse target of the individual.
  17. 17. The method of any of claims 14 to 16, the decomposing the personal health goal into a plurality of short-term sub-goals over time, comprising: decomposing the personal wellness target into a plurality of short-term sub-targets based on domain knowledge related to the personal wellness target or characteristic features of the individual Decomposing the personal wellness target into a plurality of short-term sub-targets based on domain knowledge related to the personal wellness target and an exercise condition of the individual, the exercise condition including an exercise frequency, an exercise amount, and an exercise intensity, or Decomposing the personal health goal into a plurality of short-term sub-goals over time, according to the exercise group to which the individual belongs, or Decomposing the personal wellness target into a plurality of short-term sub-targets over time according to one or more constraint rules including at least one of maintaining the training pressure balance index of the individual within an optimal training zone, the acute training load and the chronic training load of the individual gradually improving, the chronic training load of the individual in the next week differing from the chronic training load of the current week by less than a specified threshold, the chronic training load of the individual increasing no more than a specified number of times in a week, or Decomposing the individual health goal into a plurality of short-term sub-goals based on the individual's cardiovascular motor response index, which is dependent on the individual's resting heart rate over time, or By analyzing and processing the exercise data, heart rate data, and sleep data of the individual, a population to which the individual belongs is determined, and the plurality of short-term sub-targets is determined based on the population to which the individual belongs.
  18. 18. The method of claim 15, the current state of the individual comprising at least one of an acute training load, a chronic training load, and a training stress balance indicator of the individual.
  19. 19. The method of any of claims 14 to 18, further comprising: determining an action to be taken by the individual based on a sensor data stream received after providing the guidance; at least one short-term sub-objective following the adjacent sub-objective is adjusted in response to the individual taking an action other than the recommended action.
  20. 20. The method of claim 19, the sensor data stream comprising at least one of a number of steps, heart rate data, an activity pattern, a sleep stage, a sleep score, a resting heart rate.

Description

Comprehensive multi-modal computing for personal health navigation Cross Reference to Related Applications The application relates to a divisional application of an application patent application with the application date of 2022, 6, 15 and the application number of 202280005231.4, and the name of comprehensive multi-mode calculation for personal health navigation. Technical Field The present application relates to wearable computing, and more particularly to comprehensive multi-modal computing for personal health navigation. Background With modern technology, we can continuously sense and calculate health related data in many ways and apply this information to improve health. Current research into health recommendation systems typically takes a fully automated or computer aided route to make decisions. Automated systems for health recommendations are very limited in functionality, mainly for maintaining simple in vivo stable control, e.g. monitoring glucose with an insulin pump. Human experts may recommend inputs to the personal health status and decision assistance system either personally or by telecommunications. These forms of instruction may be synchronous in real time or may be directed asynchronously through various forms of communication and multimedia. Disclosure of Invention The present disclosure relates generally to wearable computing, and more particularly to comprehensive multi-modal computing for personal health navigation. Aspects of the present disclosure include methods, apparatus, and non-transitory computer-readable media, for example, for personal health navigation. In a first aspect, a method for personal wellness navigation is provided. The method comprises the following steps: acquiring input from an individual indicative of a personal wellness target; Determining a target state associated with a personal wellness target of the individual; Determining a current state of the individual; Determining a route for the individual from the current state to the target state via one or more intermediate states, the route further comprising state transitions between states in the route, the state transitions being associated with user actions; Instructions are provided to the individual indicating recommended actions for directing the individual to transition from the current state to an intermediate state adjacent to the current state along the route. Optionally, a sensor data stream is received by at least one of a wearable device and a mobile device of the individual, and a current state of the individual is evaluated from the sensor data stream. Optionally, the sensor data stream comprises at least one of physiological measurement data, heart rate data, activity pattern data, exercise data, and sleep data of the individual. Optionally, the sensor data stream comprises physiological measurement data of the individual, the physiological measurement data comprising at least one of exercise or motion data, sleep data, real-time heart rate data, resting heart rate data. Optionally, determining the risk of heart disease in the individual based on the risk of atherosclerotic heart disease ASCVD in the individual and correcting the risk of heart disease in the individual by a resting heart rate measured by the individual during deep sleep. Optionally, the maximum oxygen uptake of the individual is estimated based on sensor data acquired during exercise of the individual. Optionally, a personalized state space model customized for the individual is determined based on domain knowledge related to the personal health goal and characteristic features of the individual and/or cardiovascular motion response indicators of the individual, the personalized state space model comprising a plurality of physiological states of the individual and inter-state transition rules associated with the plurality of physiological states. Optionally, the personalized state space model of the individual is determined based on the population to which the individual belongs and is modified based on physiological measurement data of the individual. Optionally, the population to which the individual belongs is determined based on an index of cardiovascular motor response of the individual. Optionally, the population to which the individual belongs is determined based on at least one of the individual's exercise frequency, exercise intensity, and exercise amount. Optionally, the population to which the individual belongs is determined by analyzing exercise data, heart rate data, and sleep data of the individual. Optionally, the characteristic feature comprises at least one of gender and age. Optionally, the cardiovascular motor response index of the individual is dependent on a change in the resting heart rate of the individual over time. Optionally, the method further comprises: Determining a new estimate of the current state of the individual based on a subsequent sensor data stream acquired after the instruction is provide