Systems and methods for providing user insights based on real-time physiological parameters

• US 9,510,788 B2
• Filed: 02/14/2015
• Issued: 12/06/2016
• Est. Priority Date: 02/14/2015
• Status: Active Grant

• Current Assignee: Beijing Shunyuan Kaihua Technology Limited
• Original Assignee: Physical Enterprises Inc.
• Inventors: Galeev, Artem
• Primary Examiner(s): Wieland, Robert N
• Application Number:
  US14/622,867
• Publication Number:
  US 20150157256A1
• Time in Patent Office: 661 Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/1116 Determining posture transitions
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/4872 Body fat
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/721 using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured

Abstract

Described herein are systems and methods for monitoring physiological parameters in real time using a wrist-worn device, such as watch or bracelet. The physiological parameters may include heart rate variability, and the system may report conclusions to the user relating to stress and health, among other personalized messaging.

Claims

1. A system for providing user insights based on heart rate variability, the system comprising:

a wrist-worn device that obtains real-time physiological data including heart rate variability data from a user, obtains activity data from a user, and transmits the real-time physiological data and activity data; and

a processor that performs stages including;

receiving the activity data;

analyzing the activity data to determine whether the user is engaged in one of a plurality of stationary activities;

in response to determining the user is engaged in one of the plurality of stationary activities, receiving and recording the real-time physiological data including the heart rate variability data;

calculating a first heart rate variability indicia;

transmitting a conclusion to the user that is derived at least in part from the first heart rate variability indicia, wherein the analysis of the plurality of real-time physiological data for the user includes comparing a heart rate variability pattern to the heart rate variability data over multiple days to demonstrate that the user has improved their health at a greater pace than a group of similar aged users that are tracked by the server, and the conclusion represents the user'"'"'s status as compared to the group of similar aged users.

2. The system of claim 1, wherein the processor further determines that the user experiences a change in body pose based on the activity data, and calculates a second heart rate variability indicia subsequent to the change.

3. The system of claim 1, wherein the transmitted conclusion indicates a change in stress level.

4. The system of claim 1, wherein the transmitted conclusion indicates the user is stressed.

5. The system of claim 1, wherein the processor is located in a server that is remote from the wrist-worn device.

6. The system of claim 1, wherein the wrist-worn device gathers at least some of the activity data in real time based on an accelerometer.

7. The system of claim 1, wherein the wrist-worn device gathers at least some of the activity data in real time based on detecting light.

8. The system of claim 1, wherein the processor further selects a noise-cancelling algorithm based on which of the stationary activities the user is engaged in.

9. A method for communicating personalized health content to a user, the method comprising:

obtaining activity data for the user from a wrist-worn device;

obtaining real-time physiological data for the user from the wrist-worn device;

detecting an action based on the activity data,

in response to the detected action, receiving and recording the real-time physiological data, including heart rate variability data;

analyzing the heart rate variability data to determine an activity'"'"'s effect on the user'"'"'s body state; and

communicating a conclusion regarding stress or health based on the real-time heart rate variability data and body state, wherein analyzing the heart rate variability data includes comparing a heart rate variability pattern to the heart rate variability data over multiple days to demonstrate that the user has improved their health at a greater pace than a group of similar aged users that are tracked by the server, and the conclusion represents the user'"'"'s status as compared to the group of similar aged users.

10. The method according to claim 9, further including obtaining a real-time heart rate for the user and utilizing the heart rate in determining the conclusion to communicate.

11. The method according to claim 9, wherein the wrist-worn device is a watch.

12. The method according to claim 9, wherein transmitting the heart rate variability data comprises transmitting the real-time physiological data over the Internet to a server.

13. The method according to claim 9, wherein the real-time physiological data for the user includes body-fat, glucose values, and calories burned for the user.

14. The method according to claim 9, further including sending an advertisement to the user that is personalized for the user based on the analysis of the real-time physiological data and heart rate variability data.

15. The method according to claim 14, wherein the advertisement is for a medicine or supplement that addresses a health condition determined by the analysis of the real-time physiological data and heart rate variability data.

16. The method according to claim 9, further including receiving data from a social media profile and using the received data from the social media profile in determining the conclusion.

17. A system for communicating personalized content to a user based on the user'"'"'s real-time physiological data, the system comprising:

a wrist-worn device that obtains real-time physiological data for a user, receives activity data for a user, and transmits the real-time physiological data and activity data, wherein the real-time physiological data includes heart rate variability data; and

a processor that performs stages including;

receiving the activity data;

determining that the real-time physiological data should be received based on the activity data;

receiving the real-time physiological data;

analyzing the real-time physiological data to determine a health status to communicate the user regarding based on the real-time physiological data; and

communicating the health status to the user, wherein analyzing the real-time physiological data includes comparing a heart rate variability pattern to the heart rate variability data over multiple days to demonstrate that the user has improved their health at a greater pace than a group of similar aged users that are tracked by the server, and the health status represents the user'"'"'s status as compared to the group of similar aged users.

18. The system according to claim 17, further including a communications device that interfaces with the wrist-worn device, the communications device sending the real-time physiological data over the Internet to the processor.

19. The system according to claim 17, wherein the health status relates to stress and includes an advertisement for a medicine or supplement selected based on the analysis of the real-time physiological data.