Biometric scale
First Claim
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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.
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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.
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Citations
21 Claims
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1. A method for configuring a monitoring component for a user, comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A monitoring component, comprising:
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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. - View Dependent Claims (11, 12, 13, 14, 15)
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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:
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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. - View Dependent Claims (17, 18, 19, 20, 21)
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Specification