METHOD FOR EXTRACTING HEART INFORMATION BASED ON MICRO MOVEMENTS OF HUMAN BODY

• US 20170323072A1
• Filed: 04/14/2015
• Published: 11/09/2017
• Est. Priority Date: 11/18/2014
• Status: Active Grant

• Current Assignee: Sangmyung University Industry-Academy Cooperation Foundation
• Original Assignee: Sangmyung University Industry-Academy Cooperation Foundation
• Inventors: HWANG, Sung Teac, WHANG, Min Cheol, PARK, Sang In, LEE, Dong Won
• Granted Patent: US 10,102,343 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 5/02028 Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
• CPC Class Codes: A61B 5/0255 Recording instruments specially adapted therefor
• CPC Class Codes: A61B 5/1102 Ballistocardiography
• CPC Class Codes: A61B 5/1128 using image analysis A61B5/1127 takes precedence
• CPC Class Codes: A61B 5/16 Devices for psychotechnics using teaching or educational appliances G09B1/00 - G09B7/00; Testing reaction times ; Devices for evaluating the psychological state
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• CPC Class Codes: G06V 40/15 Biometric patterns based on physiological signals, e.g. heartbeat, blood flow
• CPC Class Codes: G06V 40/168 Feature extraction; Face representation
• CPC Class Codes: G06V 40/20 Movements or behaviour, e.g. gesture recognition recognition of facial expressions G06V40/16
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A method of extracting heart information from a body micro-movement is provided. The method includes a face tracking step, a frame difference averaging step, smoothing filtering step, and a sliding peak detection step.

Claims

1. A method of detecting heart information from a body micro-movement, the method comprising:

generating image data by photographing a micro-movement of a subject;

performing face tracking on the subject while generating the image data;

extracting body micro-movement information of the subject by processing the image data;

performing sliding peak detection; and

extracting heart information from the body micro-movement information.

2. The method of claim 1, wherein the extracting of the body micro-movement information comprises extracting the amount of entire micro-movement by calculating a difference between average movements in a previous state and a current state by calculating a difference between averages of frames of movement data of an image measured at regular intervals.

3. The method of claim 2, wherein the body micro-movement information undergoes smoothing filtering to increase accuracy of peak detection.

4. The method of claim 1, wherein the amount of entire micro-movement is extracted by calculating a difference between average movements in a previous state and a current state by calculating a difference between averages of frames of movement data of an image measured at regular intervals.

5. The method of claim 1, further comprising performing smoothing filtering in order to remove noise from the body micro-movement information, before the performing of the sliding peak detection.

6. A system for detecting heart information from a body micro-movement by performing the method of claim 1, the system comprising:

a camera configured to generate the image data;

a data processor configured to process the image data from the camera; and

an analyzer configured to analyze data obtained by the data processor to detect a micro-movement and detect the heart information from the micro-movement.

7. The system of claim 6, wherein the analyzer is configured to also perform smoothing filtering to remove noise from the body micro-movement information, before performing the sliding peak detection.