Blood-pressure measurement method based on video images

A technology for video image and blood pressure measurement, which is applied in measuring pulse rate/heart rate, diagnostic recording/measurement, blood vessel evaluation, etc., and can solve problems such as unfavorable popularization and application, high requirements for visual sensors, and needs

Inactive Publication Date: 2016-12-21
NANJING INST OF TECH
View PDF2 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Moreover, the requirements for visual sensors are relatively high, and wrist-mounted video equipment is required, which increases the difficulty of measurement and is not conducive to popularization and application.

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
  • Blood-pressure measurement method based on video images
  • Blood-pressure measurement method based on video images
  • Blood-pressure measurement method based on video images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0020] First, the face is selected as the target area to be tested. Under sufficient indoor light sources, the distance between the tested human body and the ordinary camera that collects video images is 50-60cm, and the head of the human body should be kept as still as possible to collect human face video and capture frames. The rate is 15 frames per second, and the acquisition time of human face video is 30s or 60s. If the collected video time is 30s, then a total of 450 pictures will be obtained; if the video is collected for 60s, a total of 900 pictures will be obtained. The pixel value of each frame of the acquired human face image is 640*480. After obtaining video information for a period of time, we do the following:

[0021] (1) Real-time tracking of the face area to determine the ROI of the region of interest. First, we use the cascade classifier to obtain the position of the face in the first frame of the video, and then use the tracking algorithm Kanade-Lucas-Toma...

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 blood-pressure measurement method based on video images. By adopting the method, the blood pressure is continuously measured by collecting a video image of a human face and performing space decomposition, time-domain filter and real-time processing on the face video image. The method particularly comprises the following steps: tracking a to-be-measured target region in real time to determine a ROI region; performing RGB three-channel separation on each frame of an image sequence of the obtained ROI region, summing and averaging to obtain a time sequence waveform in a period; removing the trend term from the time sequence waveform, and normalizing to obtain a time sequence signal; denoising the normalized signal by adopting an empirical mode decomposition method to obtain a three-channel time-domain signal with relatively high signal-to-noise ratio; and finally calculating the wave crest and wave trough of the time-domain signal, and establishing the relation between the time-domain signal and blood pressure to obtain a blood pressure value. The method is applicable to the fields of health big-data collection, remote medical treatment and the like.

Description

technical field [0001] The invention relates to a method for measuring blood pressure based on video images, which is used in fields such as collection of health big data and telemedicine. Background technique [0002] The collection of physiological parameters of health big data and telemedicine and other fields require long-term monitoring of the physiological parameters of the human body. These data related to health information have a positive effect on the assessment of people's physical and mental health. Most of the existing collection methods of physiological parameters (heart rate, respiration, blood pressure, blood oxygen, etc.) are collected through contact, and then the collected data is transmitted to the computer for storage in a wireless manner, so that doctors can consult, Reference and evaluation. Especially for blood pressure measurement, it is necessary to wear a cuff to measure. The purpose of measurement is achieved after inflation and deflation, and th...

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
IPC IPC(8): A61B5/0205
CPCA61B5/0205A61B5/0064A61B5/0077A61B5/021A61B5/024A61B5/0816A61B5/7225A61B5/7235A61B5/7257
Inventor 张琦许其清郁汉祺
Owner NANJING INST OF TECH
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
Try Eureka
PatSnap group products