APPARATUS AND METHOD FOR PROVIDING HEALTH STATUS OF CARDIOVASCULAR SYSTEM

• US 20180125422A1
• Filed: 03/31/2017
• Published: 05/10/2018
• Est. Priority Date: 11/07/2016
• Status: Abandoned Application

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: JANG, Dae Geun, NOH, Seung Woo
• Application Number:
  US15/475,808
• Publication Number:
  US 20180125422A1
• Time in Patent Office: Days
• CPC Class Codes: A61B 5/02108 from analysis of pulse wave characteristics
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/029 Measuring or recording blood output from the heart, e.g. minute volume A61B8/065 takes precedence
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses
• CPC Class Codes: A61B 5/6843 Monitoring or controlling sensor contact pressure

Abstract

An apparatus and a method for providing a health status of a cardiovascular system are provided. The apparatus includes a body oscillation measurer configured to measure body oscillation data, and a processor configured to estimate a health status of a cardiovascular system, based on the measured body oscillation data.

Claims

1. An apparatus for providing a health status of a cardiovascular system, the apparatus comprising:

a body oscillation measurer configured to measure body oscillation data; and

a processor configured to estimate a health status of a cardiovascular system, based on the measured body oscillation data.

2. The apparatus of claim 1, wherein the body oscillation measurer is further configured to measure the body oscillation data, using any one or any combination of an acceleration sensor, a piezoelectric film, a load cell, a radar, and a photoplethysmogram sensor.

3. The apparatus of claim 1, wherein the health status of the cardiovascular system comprises any one or any combination of a blood pressure, a cardiac output, a blood vessel elasticity, and a peripheral resistance.

4. The apparatus of claim 1, wherein the processor comprises:

a segmentator configured to divide the measured body oscillation data into predetermined time intervals;

a feature calculator configured to calculate a feature from the divided body oscillation data; and

a health status estimator configured to estimate the health status of the cardiovascular system, using the calculated feature and a cardiovascular system health status estimation model.

5. The apparatus of claim 4, wherein the feature comprises any one or any combination of a signal energy, a sum of absolute values of signals, a sum of envelope values, a number of peaks, a standard deviation of amplitudes, and a number of level crossings.

6. The apparatus of claim 1, further comprising a contact pressure measurer configured to measure contact pressure data of the apparatus in contact with a body part.

7. The apparatus of claim 6, wherein the contact pressure measurer is further configured to measure the contact pressure data, using any one or any combination of an acceleration sensor, a piezoelectric film, a load cell, a radar, and a photoplethysmogram sensor.

8. The apparatus of claim 6, wherein the processor comprises:

a body oscillation calibrator configured to calibrate the measured body oscillation data, based on the measured contact pressure data;

a segmentator configured to divide the calibrated body oscillation data into predetermined time intervals;

a feature calculator configured to calculate a feature from the divided body oscillation data; and

a health status estimator configured to estimate the health status of the cardiovascular system, using the calculated feature and a cardiovascular system health status estimation model.

9. The apparatus of claim 8, wherein the body oscillation calibrator is further configured to:

search a calibration coefficient database to determine a body oscillation calibration coefficient corresponding to the measured contact pressure data; and

adjust any one or any combination of a gain, a slope, and an offset of the measured body oscillation data, based on the determined body oscillation calibration coefficient.

10. The apparatus of claim 6, wherein the processor comprises:

a segmentator configured to divide the measured body oscillation data into predetermined time intervals;

a feature calculator configured to calculate a feature from the divided body oscillation data;

a feature calibrator configured to calibrate the calculated feature, based on the measured contact pressure data; and

a health status estimator configured to estimate the health status of the cardiovascular system, using the calibrated feature and a cardiovascular system health status estimation model.

11. The apparatus of claim 10, wherein the feature calibrator is further configured to:

search a calibration coefficient database to determine a feature calibration coefficient corresponding to the measured contact pressure data; and

adjust any one or any combination of a gain, a slope, and an offset of the calculated feature, based on the determined feature calibration coefficient.

12. The apparatus of claim 6, further comprising an actuator configured to adjust a contact pressure of the apparatus in contact with the body part,

wherein the processor comprises:

a contact pressure controller configured to generate a control signal for driving the actuator such that the measured contact pressure data reaches a predetermined contact pressure,

wherein the body oscillation measurer is further configured to measure the body oscillation data in response to the measured contact pressure data reaching the predetermined contact pressure;

a segmentator configured to divide the measured body oscillation data into predetermined time intervals;

a feature calculator configured to calculate a feature from the divided body oscillation data; and

a health status estimator configured to estimate the health status of the cardiovascular system, using the calculated feature and a cardiovascular system health status estimation model.

13. The apparatus of claim 1, wherein the apparatus is implemented as a wearable device.

14. A method of providing a health status of a cardiovascular system, the method comprising:

measuring body oscillation data; and

estimating a health status of a cardiovascular system, based on the measured body oscillation data.

15. The method of claim 14, wherein the health status of the cardiovascular system comprises any one or any combination of a blood pressure, a cardiac output, a blood vessel elasticity, and a peripheral resistance.

16. The method of claim 14, further comprising:

dividing the measured body oscillation data into predetermined time intervals; and

calculating a feature from the divided body oscillation data,

wherein the estimating comprises estimating the health status of the cardiovascular system, using the calculated feature and a cardiovascular system health status estimation model.

17. The method of claim 16, wherein the feature comprises any one or any combination of a signal energy, a sum of absolute values of signals, a sum of envelope values, a number of peaks, a standard deviation of amplitudes, and a number of level crossings.

18. The method of claim 14, further comprising:

measuring contact pressure data of an apparatus in contact with a body part;

calibrating the measured body oscillation data, based on the measured contact pressure data;

dividing the calibrated body oscillation data into predetermined time intervals; and

calculating a feature from the divided body oscillation data,

wherein the estimating comprises estimating the health status of the cardiovascular system, using the calculated feature and a cardiovascular system health status estimation model.

19. The method of claim 14, further comprising:

measuring contact pressure data of an apparatus in contact with a body part;

dividing the measured body oscillation data into predetermined time intervals;

calculating a feature from the divided body oscillation data; and

calibrating the calculated feature, based on the measured contact pressure data,

wherein the estimating comprises estimating the health status of the cardiovascular system, using the calibrated feature and a cardiovascular system health status estimation model.

20. The method of claim 14, further comprising:

measuring contact pressure data of an apparatus in contact with a body part;

adjusting a contact pressure of the apparatus in contact with the body part such that the measured contact pressure data reaches a predetermined contact pressure,

wherein the measuring comprises measuring the body oscillation data in response to the measured contact pressure data reaching the predetermined contact pressure;

dividing the measured body oscillation data into predetermined time intervals; and

calculating a feature from the divided body oscillation data,

wherein the estimating comprises estimating the health status of the cardiovascular system, using the calculated feature and a cardiovascular system health status estimation model.