Biometric scale
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.
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.