Wearable Device Electrocardiogram

• US 20160360986A1
• Filed: 06/12/2015
• Published: 12/15/2016
• Est. Priority Date: 06/12/2015
• Status: Active Grant

• Current Assignee: ChroniSense Medical, Ltd.
• Original Assignee: ChroniSense Medical, Ltd.
• Inventors: Lange, Daniel H.
• Granted Patent: US 11,712,190 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2562/046 in a matrix array
• CPC Class Codes: A61B 2562/06 Arrangements of multiple sensors of different types
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/02427 Details of sensor
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/1032 Determining colour for diagnostic purposes measuring colour in general G01J3/46
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/30 Input circuits therefor
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/4842 Monitoring progression or stage of a disease
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6822 Neck
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6829 Foot or ankle
• CPC Class Codes: A61B 5/721 using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
• CPC Class Codes: A61B 5/7239 using differentiation including higher order derivatives
• CPC Class Codes: A61B 5/7275 : Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: G16H 40/63 : for local operation
• CPC Class Codes: G16H 80/00 : ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

Provided are a method and systems for measuring an electrocardiogram (ECG) using a wearable device. An example system includes the wearable device in a shape of a band worn on a limb (e.g., a wrist) of a patient. The wearable device includes an electrical sensor. The wearable device is operable to record, via the at least one electrical sensor, an electrical signal from the limb of the patient. The wearable device is operable to split the electrical signal into segments based on a reference signal. The reference signal includes an indication of onset times of heart beats. The segments are averaged to derive average ECG data of low signal-to-noise ratio. The wearable device includes an optical sensor operable to measure skin color beneath a pulsating artery of the limb. The reference signal includes a photoplethysmogram (PPG) signal recorded via the optical sensor simultaneously with the electrical signal.

Claims

1. A system for measuring an electrocardiogram (ECG) using a wearable device, the system comprising:

the wearable device including at least one electrical sensor, the wearable device configured to;

record, via the at least one electrical sensor, an electrical signal from a limb of a patient, the electrical signal including an ECG signal and a noise;

split, based on a reference signal including an indication of onset times of heart beats, the electrical signal into segments; and

average the segments to derive average ECG data.

2. The system of claim 1, wherein the wearable device further includes an optical sensor, the optical sensor being operable to measure a color of skin beneath a pulsating artery of the limb.

3. The system of claim 2, wherein the reference signal is a photoplethysmogram signal recorded via the optical sensor simultaneously with the electrical signal.

4. The system of claim 2, wherein the reference signal is the first derivative of a photoplethysmogram signal recorded via the optical sensor simultaneously with the electrical signal.

5. The system of claim 1, wherein:

prior to the averaging, the segments are distributed into groups, each group including segments corresponding to a certain heart rate; and

the averaging includes averaging segments belonging to at least one of the groups.

6. The system of claim 1, wherein the at least one electronic sensor includes a first input plate located at an inner side of the limb and a second input plate located at an outer side of the limb.

7. The system of claim 1, wherein the at limb includes one or more of the following a wrist, an ankle, and a neck.

8. The system of claim 1, wherein the wearable device is carried out in a shape of one of the following:

a wristband, a watch, and a bracelet configured to be worn on the limb.

9. The system of claim 1, wherein the wearable device is further configured:

to analyze average ECG data derived over an extended period of time to determine trends in parameters of the average ECG data;

determine, based at least on the trends, at least one possible symptom or a probable progression of at least one chronic heart disease; and

provide reports and warning messages regarding the at least one possible symptom and the probable progression.

10. The system of claim 1, wherein the segments are of a length of an interval between two subsequent heart beats.

11. A method for measuring an electrocardiogram (ECG) using a wearable device, the method comprising:

recording, via at least one electrical sensor associated with a wearable device, an electrical signal from a limb of a patient, the electrical signal including an ECG signal and a noise;

splitting, based on a reference signal including an indication of onset times of heart beats, the electrical signal into segments; and

averaging the segments to derive average ECG data.

12. The method of claim 11, wherein the wearable device includes an optical sensor, the optical sensor being operable to measure a color of a skin above a pulsating artery of the limb.

13. The method of claim 12, wherein the reference signal includes a photoplethysmogram signal recorded via the optical sensor simultaneously with the electrical signal.

14. The method of claim 12, wherein the reference signal is the first derivative of a photoplethysmogram signal recorded via the optical sensor simultaneously with the electrical signal.

15. The method of claim 11, further comprising:

prior to the averaging, distributing the segments into groups, each group including segments corresponding to a certain heart rate; and

wherein the averaging includes averaging segments belonging to at least one of the groups.

16. The method of claim 11, wherein the at least one electronic sensor includes a first input plate located on an inner side of the limb and a second input plate located on an outer side of the limb.

17. The method of claim 11, wherein the at least one electronic sensor includes two input plates located on opposite sides of the limb.

18. The method of claim 11, wherein the wearable device is carried out in a shape of one of the following:

a wristband, a watch, and a bracelet configured to be worn on the limb.

19. The method of claim 11, further comprising:

analyzing average ECG data derived over an extended period of time to determine trends in parameters of the average ECG data;

determining, based at least on the trends, at least one possible symptom or a probable progression of at least one chronic heart disease; and

providing at least one of a report and a warning message regarding the at least one possible symptom and the probable progression.

20. A non-transitory computer-readable storage medium having embodied thereon instructions, which when executed by a processor, perform steps of a method, the method comprising:

recording, via at least one electrical sensor associated with a wearable device, an electrical signal from a limb of a patient, the electrical signal including an electrocardiogram ECG signal and a noise;

splitting, based on a reference signal including an indication of onset times of heart beats, the electrical signal into segments; and

averaging the segments to derive average ECG data.