METHOD OF MEASURING THE HEART RATE AND RESPIRATORY RATE OF A HUMAN BEING

• US 20170245786A1
• Filed: 02/21/2017
• Published: 08/31/2017
• Est. Priority Date: 02/26/2016
• Status: Active Grant

• Current Assignee: Ding Yuan Yen, Nelson Yen
• Original Assignee: Ding Yuan Yen, Nelsen Yen
• Inventors: YEN, Ding Yuan, FANG, Hsaio Wei, LAI, Te Min
• Granted Patent: US 10,172,543 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 2576/00 Medical imaging apparatus involving image processing or analysis A61B1/00009, A61B6/52 and A61B8/52 take precedence; image processing per se G06T; details of algorithms for analysing medical images G06T7/0012
• CPC Class Codes: A61B 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• 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 5/02444 Details of sensor A61B5/02427 takes precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1032 Determining colour for diagnostic purposes measuring colour in general G01J3/46
• CPC Class Codes: A61B 5/1128 using image analysis A61B5/1127 takes precedence
• CPC Class Codes: A61B 5/113 occurring during breathing
• CPC Class Codes: G06T 2207/10024 Color image
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 2207/30076 Plethysmography
• CPC Class Codes: G06T 2207/30201 Face
• CPC Class Codes: G06T 7/0016 involving temporal comparison
• CPC Class Codes: G06T 7/248 involving reference images or patches
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing

Abstract

The invention relates to a method for measuring the human heartbeat rate, comprising the steps of: 1) obtaining a video of the measured subject; 2) parsing the video into a series of image frames; 3) arranging the multiple generated image frames in sequential order; 4) detecting the position of the region of the face in each image; 5) obtaining the facial fluctuation frequency of the measured object according to the change of the position of the face region in the image frame system.

Claims

1. A method of measuring the human heartbeat rate, comprising the steps of:

a) acquiring the video of the measured subject;

b) parsing the video image into a series of image frames;

c) arranging the multiple generated image frames in sequential order;

d) detecting the position of the region of the face in each image;

e) according to the change of the position of the face area in the image frame system, the facial fluctuation frequency of the measured object, corresponding to the heartbeat rate of the human being, is obtained.

2. The method for measuring the heartbeat rate of a human body according to claim 1, wherein the DC component in the face fluctuation signal is filtered and removed in step 1(e) to obtain a periodic wave-like face fluctuation signal, or the face fluctuation frequency of the subject.

3. A method of measuring the heart rate of a human being, comprising the steps of:

a) acquiring the video of the measured object;

b) parsing the video into a series of image frames;

c) arranging the multiple generated image frames in sequential order;

d) detecting the area of the face in each image;

e) analyze the color distribution in the face area of each image;

f) according to the change of the color distribution of each frame in the image frame system, the face color change frequency of the measured object, corresponding to the heartbeat rate of the human being, is obtained.

4. The method for measuring the heart rate of a human body according to claim 3, wherein the distribution of the red color components is counted in step 3(e).

5. A method of measuring the frequency of breathing in a human body, comprising the steps of:

a) acquiring the video of the measured object;

b) parsing the video into a series of image frames;

c) arranging the multiple generated image frames in sequential order;

d) detecting the position of the region of the face in each image;

e) calculating the position of the chest region according to the position of the face region;

f) according to the change of the position of the thoracic cavity region in the image frame series, the thoracic fluctuation frequency of the measured object, corresponding to the respiratory rate of the human being, is obtained.

6. The method for measuring the breathing frequency of a human body according to claim 5, wherein in step 5(e), a region located 1.5 to 2.0 face lengths below the upper edge of the face is defined as the position of the chest region.