Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Video heart rate detection method removing interference of ambient light variation

A detection method, ambient light technology, applied in the field of biological image information

Active Publication Date: 2016-06-15
深圳慧智星晨科技有限公司
View PDF4 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In recent years, many researchers have improved the accuracy of heart rate measurement by eliminating the influence of motion artifacts, but there are few reports on ambient light changes

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Video heart rate detection method removing interference of ambient light variation
  • Video heart rate detection method removing interference of ambient light variation
  • Video heart rate detection method removing interference of ambient light variation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] In this embodiment, a video heart rate detection method that removes the interference of ambient light changes, such as figure 1 shown. Firstly, the facial region of interest data set and the background area data set are obtained, and the two data sets are processed by joint blind source separation technology, and the signal source of the common ambient light change is extracted and zeroed, and the signal source without the interference of ambient light change is obtained. Facial region of interest data set; secondly, select the facial region of interest data of the best color channel, and use the overall average empirical mode decomposition method to obtain the eigenmode component; then put all the frequencies corresponding to the maximum amplitude within the set heart rate range The eigenmode component of is determined as the candidate eigenmode component set, and the eigenmode component corresponding to the largest maximum amplitude is determined as the best eigenmod...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a video heart rate detection method removing interference of ambient light variation. Firstly a face area-of-interest data set and a background area data set are obtained, a united blind source separation technology is utilized to process the two data sets, and signal sources of ambient light variation that the data sets both have are extracted and set to zero, thereby obtaining a face area-of-interest data set free of interference of ambient light variation; secondly, face area-of-interest data of an optimal color channel is selected, and an ensemble average empirical mode decomposition method is utilized to obtain intrinsic mode components; and then all local intrinsic mode components of which frequency corresponding to maximum amplitude values are in a set heart rate range are determined to be a candidate intrinsic mode component set, the intrinsic mode component corresponding to the largest maximum amplitude value is determined to be the optimal intrinsic mode component, and a video heart rate is obtained through a peak detection algorithm. The video heart rate detection method provides a relatively accurate algorithm for non-contact heart rate detection, and has important application prospects in the aspects of clinical disease diagnosis and daily medical care.

Description

technical field [0001] The invention belongs to the technical field of biological image information, and in particular relates to a non-contact video heart rate detection method that removes the interference of ambient light changes. Background technique [0002] Heart rate is one of the important physiological parameters of human life activities. It refers to the number of heart beats per unit time, usually the number of heart beats per minute (beatperminute, bpm), which is a physiological indicator for routine clinical diagnosis, and it is also used for the diagnosis of chronic diseases, such as heart failure, atrial fibrillation, and sleep apnea. is of great significance. [0003] Conventional clinical heart rate detection instruments generally need to be in direct contact with the human body. The contact type mainly includes conventional measurement methods such as electrocardiogram, chest belt, and pulse oximeter. Due to its high accuracy, it is widely used in medical...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/00
CPCG06T7/0012G06T2207/10016G06T2207/20104G06T2207/20116G06T2207/30048G06V40/162
Inventor 陈勋徐灵曦成娟
Owner 深圳慧智星晨科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products