Biometric scale

• US 10,271,741 B2
• Filed: 03/15/2016
• Issued: 04/30/2019
• Est. Priority Date: 09/15/2015
• Status: Active Grant

• Current Assignee: ZEPP, Anhui Huami Information Technology Co., Ltd. (Zepp Health Corporation)
• Original Assignee: Huami, Inc., Anhui Huami Information Technology Co., Ltd. (Zepp Health Corporation)
• Inventors: Chen, Ting, Wang, Fei, Zhao, Yajun, Su, Jixiang
• Primary Examiner(s): Lavert, Nicole F
• Assistant Examiner(s): Johnson, Nicole F
• Application Number:
  US15/070,737
• Publication Number:
  US 20170071478A1
• Time in Patent Office: 1,141 Days
• Field of Search: 600508-509, 702 19
• 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 5/117 Identification of persons methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00
• CPC Class Codes: A61B 5/25 Bioelectric electrodes therefor
• CPC Class Codes: A61B 5/339 Displays specially adapted therefor
• CPC Class Codes: A61B 5/6887 mounted on external non-worn devices, e.g. non-medical devices
• CPC Class Codes: A61B 5/726 using Wavelet transforms
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: G01G 19/50 having additional measuring devices, e.g. for height

Abstract

A method for configuring a monitoring component for a user includes receiving an electrocardiograph (ECG) signal from an ECG component, receiving a weight signal from a scale component, and combining features extracted from the ECG signal and the weight signal to generate a current biometric signal. Responsive to the current biometric signal matching a historical biometric signal, the method includes obtaining a user profile and determining a health status for association with the user profile by classifying the current biometric signal using disease models and fitness models.

Claims

1. A method for configuring a monitoring component for a user, comprising:

receiving an electrocardiograph (ECG) signal of a user from an ECG component;

receiving a weight signal of the user from a scale component in contact with the user;

combining features extracted from the ECG signal and the weight signal to generate a current biometric signal, the current biometric signal used to determine an identity of the user;

responsive to the current biometric signal matching a historical biometric signal stored in a user profile of the user, obtaining the user profile; and

determining a health status for association with the user profile by classifying the current biometric signal using disease models and fitness models.

2. The method of claim 1, further comprising:

responsive to the current biometric signal not matching a historical biometric signal, sending a profile generation request soliciting the user to generate a user profile.

3. The method of claim 1, wherein receiving the ECG signal comprises receiving a touch input from the user at two or more electrodes associated with the ECG component.

4. The method of claim 1, wherein the health status is related to the user'"'"'s weight, heart rate, fatigue level, stress level, heart age, heart rate variability, or heart condition.

5. The method of claim 1, wherein determining the health status further comprises classifying the features extracted from the current biometric signal using previously trained models.

6. The method of claim 1, wherein determining the health status further comprises determining a health status trend by comparing the health status determined using the current biometric signal to a health status determined using the historical biometric signal.

7. The method of claim 1, further comprising:

displaying, at an output screen associated with the monitoring component, a status indicator associated with the health status.

8. The method of claim 1, wherein the ECG component comprises:

a first electrode; and

a second electrode;

wherein the ECG signal is generated upon user contact with the first and second electrodes.

9. The method of claim 1, wherein the scale component comprises:

a platform configured to support the user; and

a weight sensor in communication with the platform and configured to generate the weight signal based on user presence on the platform.

10. A monitoring component, comprising:

a non-transitory memory; and

a processor configured to execute instructions stored in the non-transitory memory to;

receive an electrocardiograph (ECG) signal from an ECG component in contact with a user;

receive a weight signal from a scale component in contact with the user;

combine features extracted from the ECG signal and the weight signal to generate a current biometric signal, the current biometric signal used to determine an identity of the user;

responsive to the current biometric signal matching a historical biometric signal stored in a user profile of the user, obtain the user profile; and

determine a health status for association with the user profile by classifying the current biometric signal using disease models and fitness models.

11. The apparatus of claim 10, wherein the processor is further configured to:

responsive to the current biometric signal not matching a historical biometric signal, send a profile generation request soliciting the user to generate a user profile.

12. The apparatus of claim 10, wherein receiving the ECG signal comprises receiving a touch input from the user at two or more electrodes associated with the ECG component.

13. The apparatus of claim 10, wherein the health status is related to the user'"'"'s weight, heart rate, fatigue level, stress level, heart age, heart rate variability, or heart condition.

14. The apparatus of claim 10, wherein determining the health status further comprises determining a health status trend by comparing the health status determined using the current biometric signal to a health status determined using the historical biometric signal to.

15. The apparatus of claim 10, wherein the processor is further configured to:

display, at an output screen associated with the monitoring component, a status indicator associated with the health status.

16. A non-transitory computer-readable medium storing a set of instructions for configuring a monitoring component for a user, which when executed by a computer system using a processor become operational with the processor for configurating the monitoring component, the set of instructions comprising instructions to:

receive an electrocardiograph (ECG) signal from an ECG component in contact with a user;

receive a weight signal from a scale component in contact with the user;

combine features extracted from the ECG signal and the weight signal to generate a current biometric signal, the current biometric signal used to determine an identity of the user;

responsive to the current biometric signal matching a historical biometric signal stored in a user profile of the user, obtain the user profile; and

determine a health status for association with the user profile by classifying the current biometric signal using disease models and fitness models.

17. The non-transitory computer-readable medium of claim 16, wherein the set of instructions further comprises instructions to:

responsive to the current biometric signal not matching a historical biometric signal, send a profile generation request soliciting the user to generate a user profile.

18. The non-transitory computer-readable medium of claim 16, wherein receiving the ECG signal comprises receiving a touch input from the user at two or more electrodes associated with the ECG component.

19. The non-transitory computer-readable medium of claim 16, wherein the health status is related to the user'"'"'s weight, heart rate, fatigue level, stress level, heart age, heart rate variability, or heart condition.

20. The non-transitory computer-readable medium of claim 16, wherein determining the health status further comprises determining a health status trend by comparing the health status determined using the current biometric signal to a health status determined using the historical biometric signal to.

21. The non-transitory computer-readable medium of claim 16, wherein the set of instructions further comprises instructions to:

display, at an output screen associated with the monitoring component, a status indicator associated with the health status.