Wearable apparatus for ECG signal acquisition

• US 10,368,765 B2
• Filed: 06/05/2017
• Issued: 08/06/2019
• Est. Priority Date: 02/02/2016
• Status: Active Grant

• Current Assignee: Hefei Huami Micro-Electronics Co., Ltd.
• Original Assignee: Anhui Huami Information Technology Co., Ltd. (Zepp Health Corporation)
• Inventors: Huang, Wang, Su, Jixiang, Zhao, Yajun, Wang, Fei, Wang, Yuanxiang
• Primary Examiner(s): Flory, Christopher A
• Application Number:
  US15/613,755
• Publication Number:
  US 20170273584A1
• Time in Patent Office: 792 Days
• Field of Search: 600509
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/259 using conductive adhesive means, e.g. gels
• CPC Class Codes: A61B 5/274 using snap or button fasteners
• CPC Class Codes: A61B 5/282 Holders for multiple electrodes for introduction into the body A61B5/287
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/332 Portable devices specially adapted therefor
• CPC Class Codes: A61B 5/335 using integrated circuit memory devices
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/364 Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses
• CPC Class Codes: A61B 5/6833 Adhesive patches
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

Methods, apparatuses and wearable devices for measuring an ECG signal for a user wearing a wearable device includes when the ECG signal is measured in a first mode, receiving the ECG signal by an ECG sensor from a closed circuit formed by a first ECG sensor electrode and a second ECG sensor electrode, in which the wearable device includes a main body detachable to the wearable device, a connecting portion, and electrode patches, and the main body includes the ECG sensor, the first ECG sensor electrode, and the second ECG sensor electrode, and when the ECG signal is measured in a second mode, receiving the ECG signal by the ECG sensor from a closed circuit formed by electrodes of the electrode patches, in which the ECG sensor is in the main body and the main body is connected to the electrode patches.

Claims

1. A method for measuring an electrocardiograph (ECG) signal for a user wearing a wearable device, comprising:

receiving motion information of the wearable device;

determining, using the motion information, whether to measure the ECG signal using a first mode or a second mode, wherein the first mode comprises an episodic mode and the second mode comprises a continuous mode;

when the ECG signal is measured in the first mode, receiving the ECG signal by an ECG sensor from a closed circuit formed by a first ECG sensor electrode and a second ECG sensor electrode, wherein the wearable device comprises a main body detachable to the wearable device, a connecting portion, and electrode patches, and the main body comprises the ECG sensor, the first ECG sensor electrode, and the second ECG sensor electrode; and

when the ECG signal is measured in the second mode, receiving the ECG signal by the ECG sensor from a closed circuit formed by electrodes of the electrode patches, wherein the ECG sensor is in the main body and the main body is connected to the electrode patches,

wherein when the ECG measurement is performed in the second mode, the main body is detached from the wearable device and connected to the electrode patches by snap-fit or adhesive, and a securing portion is detached from the main body and the electrode patches.

2. The method of claim 1, wherein the main body further comprises an accelerometer and a microcontroller unit (MCU), and the method further comprises:

receiving, by the MCU from the accelerometer, a status for the user, and determining processed data by processing the ECG signal based on the status; and

sending the processed data to a host device by wired or wireless communications, wherein the host device determines at least one of a disease and an identity based on the processed data.

3. The method of claim 1, wherein the main body further comprises a microcontroller unit (MCU), and the method further comprises:

determining processed data by processing the ECG signal using the MCU; and

sending the processed data to a host device by wired or wireless communications, wherein the host device determines at least one of a disease and an identity based on the processed data.

4. The method of claim 3, wherein the main body further comprises a motor, and the method further comprises:

when the MCU determines that the processed data reaches a preset threshold value, performing a vibration notification using the motor.

5. The method of claim 1, wherein the electrode patches comprise a battery, the battery used as a secondary power source to the wearable device when the ECG signal is measured in the second mode.

6. An apparatus for measuring an electrocardiograph (ECG) signal for a user wearing a wearable device, comprising:

an ECG sensor;

a first ECG sensor electrode;

a second ECG sensor electrode;

sensors including an accelerometer;

a microcontroller unit (MCU);

a processor; and

a memory configured to store instructions which when executed by the processor become operational with the processor to;

receive, by the MCU from the accelerometer, a status for the user;

receive, from a sensor of the sensors, motion information of the wearable device;

determine, using the motion information, whether to measure the ECG signal using a first mode or a second mode;

when the ECG signal is measured in the first mode, receive the ECG signal by the ECG sensor from a closed circuit formed by the first ECG sensor electrode and the second ECG sensor electrode, wherein the wearable device comprises a main body detachable to the wearable device, a connecting portion, and electrode patches, and the main body comprises the ECG sensor, the first ECG sensor electrode, and the second ECG sensor electrode; and

when the ECG signal is measured in the second mode, receive the ECG signal by the ECG sensor from a closed circuit formed by electrodes of the electrode patches, wherein the ECG sensor is in the main body and the main body is connected to the electrode patches.

7. The apparatus of claim 6, wherein when the ECG measurement is performed in the second mode, the main body is detached from the wearable device and connected to the electrode patches by snap-fit or adhesive, and a securing portion is detached from the main body and the electrode patches.

8. The apparatus of claim 6, wherein the memory further comprises instructions which when executed by the processor become operational with the processor to:

determine processed data by processing the ECG signal using the MCU; and

send the processed data to a host device by wired or wireless communications, wherein the host device is for determining at least one of a disease and an identity based on the processed data.

9. The apparatus of claim 8, the main body further comprises a motor, and the memory further comprises instructions which when executed by the processor become operational with the processor to:

when the MCU determines that the processed data reaches a preset threshold value, perform a vibration notification using the motor.

10. The apparatus of claim 6, wherein the electrode patches comprise a battery, the battery used as a secondary power source to the wearable device when the ECG signal is measured in the second mode.

11. The apparatus of claim 6, wherein the first mode comprises an episodic mode and the second mode comprises a continuous mode.

12. A wearable device for measuring an electrocardiograph (ECG) signal for a user, comprising:

a main body detachable from the wearable device, comprising a first ECG sensor electrode provided on an inner surface of the main body, a second ECG sensor electrode provided on an outer surface of the main body, and an ECG sensor;

a securing portion comprising a wrist band; and

at least two electrode patches, detached from the main body and the securing portion, wherein the ECG sensor is configured to;

receive, from a sensor of the wearable device, motion information of the wearable device;

determine, using the motion information, whether to measure the ECG signal using a first mode or a second mode;

when the ECG signal is measured in the first mode, receive the ECG signal from a closed circuit formed by the first ECG sensor electrode and the second ECG sensor electrode; and

when the ECG signal is measured in the second mode, receive the ECG signal from a closed circuit formed by electrodes of the at least two electrode patches.

13. The wearable device of claim 12, wherein when the ECG measurement is performed in the second mode, the main body is detached from the wearable device and connected to the at least two electrode patches by snap-fit or adhesive, and the securing portion is detached from the main body and the electrode patches.

14. The wearable device of claim 12, wherein the main body further comprises:

an accelerometer, configured to receive a status for the user;

a microcontroller unit (MCU), configured to receive the status from the accelerometer and determine processed data by processing the ECG signal received from the ECG sensor based on the status; and

a communication device, configured to send the processed data to a host device by wired or wireless communications, wherein the host device is for determining at least one of a disease and an identity based on the processed data.

15. The wearable device of claim 12, wherein the main body further comprises:

a microcontroller unit (MCU), configured to determine processed data by processing the ECG signal received from the ECG sensor; and

a communication device, configured to send the processed data to a host device by wired or wireless communications, wherein the host device is for determining at least one of a disease and an identity based on the processed data.

16. The wearable device of claim 15, wherein the main body further comprises a motor, and the MCU is configured to perform a vibration notification using the motor when determining that the processed data reaches a preset threshold value.

17. The wearable device of claim 12, wherein the at least two electrode patches comprise a battery, the battery used as a secondary power source to the wearable device when the ECG signal is measured in the second mode.