Biometric scale
AssigneesHuami Inc., Anhui Huami Information Technology Co., Ltd.
InventorsTing Chen, Fei Wang, Yajun Zhao, Jixiang Su
Life of this patent
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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.
Claims6
A system, comprising:
- an electrocardiogram (ECG) component, comprising:
- a first electrode;
- a second electrode, wherein a first ECG lead configured to generate a first ECG signal is formed upon user contact with the first and second electrodes;
- and
- a third electrode, wherein second and third ECG leads configured to generate second and third ECG signals are formed upon user contact with the first, second, and third electrodes;
- a scale component, comprising:
- a platform configured to support the user;
- a weight sensor in communication with the platform and configured to generate a weight signal based on user presence on the platform;
- and
- a monitoring component, comprising:
- a non-transitory memory;
- and
- a processor configured to execute instructions stored in the non-transitory memory to:
- receive the first, second, or third ECG signal from the ECG component;
- receive the weight signal from the scale component;
- combine features extracted from the first, second, or third ECG signal and the weight signal to generate a current biometric signal;
- responsive to the current biometric signal matching a historical biometric signal, obtain a 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.
Dependencies are inferred from the claim text.