# US 2019/0167119 A1 · Biometric scale

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- Number: US 2019/0167119 A1
- Document ID: US20190167119A1
- Status: Published application
- Kind: A1
- Application number: 16/262,644
- Filed: 2019-01-30
- Published: 2019-06-06
- Earliest claimed: 2015-09-15
- Assignees: Huami Inc.; Anhui Huami Information Technology Co., Ltd.
- Applicants: Huami Inc.; Anhui Huami Information Technology Co., Ltd.
- Inventors: Ting Chen; Fei Wang; Yajun Zhao; Jixiang Su
- Web page: https://patentgrep.com/patent/US20190167119A1

## CPC

- A61B 5/0205: Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- 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)
- A61B 5/26: maintaining contact between the body and the electrodes by the action of the subjects, e.g. by placing the body on the electrodes or by grasping the electrodes
- A61B 5/28: for electrocardiography [ECG]
- A61B 5/6887: {mounted on external non-worn devices, e.g. non-medical devices}
- A61B 5/7267: {involving training the classification device}
- A61B 5/7475: {User input or interface means, e.g. keyboard, pointing device, joystick}
- G01G 19/50: having additional measuring devices, e.g. for height
- A61B 5/726: {using Wavelet transforms}
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G01G: WEIGHING (sorting by weighing B07C5/16)

## 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

### Claim 1

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.

### Claim 2 (depends on 1)

The system of claim 1, 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.

### Claim 3 (depends on 1)

The system of claim 1, wherein receiving the first, second, or third ECG signals comprises receiving a touch input from the user at two, three, or four of the electrodes of the ECG component.

### Claim 4 (depends on 1)

The system 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.

### Claim 5 (depends on 1)

The system 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.

### Claim 6 (depends on 1)

The system of claim 1, 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.