https://github.com/pchambino/pulse-cpp

Android-based implementation of Eulerian Video Magnification for vital signs monitoring
https://github.com/pchambino/pulse-cpp

eulerian-video-magnification heart-rate

Last synced: 6 months ago
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Android-based implementation of Eulerian Video Magnification for vital signs monitoring

• Host: GitHub
• URL: https://github.com/pchambino/pulse-cpp
• Owner: PChambino
• License: isc
• Created: 2015-05-07T23:22:31.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2016-10-16T19:35:19.000Z (almost 9 years ago)
• Last Synced: 2025-03-29T23:12:26.110Z (6 months ago)
• Topics: eulerian-video-magnification, heart-rate
• Language: C++
• Homepage: http://p.chambino.com/dissertation
• Size: 9.39 MB
• Stars: 21
• Watchers: 4
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
pulse

=====

### Android-based implementation of Eulerian Video Magnification for vital signs monitoring

http://p.chambino.com/dissertation

Eulerian Video Magnification is a recently presented method capable of

revealing temporal variations in videos that are impossible to see with

the naked eye. Using this method, it is possible to visualize the flow of

blood as it fills the face. From its result, a person’s heart rate is possible

to be extracted.

This research work was developed at Fraunhofer Portugal and its goal is to

test the feasibility of the implementation of the Eulerian Video Magnification

method on smartphones by developing an Android application for monitoring

vital signs based on the Eulerian Video Magnification method.

There has been some successful effort on the assessment of vital signs,

such as, heart rate, and breathing rate, in a contact-free way using a

webcamera and even a smartphone. However, since the Eulerian Video

Magnification method was recently proposed, its implementation has not been

tested in smartphones yet.Thus, the Eulerian Video Magnification method

performance for color amplification was optimized in order to execute on an

Android device at a reasonable speed.

The Android application implemented includes features, such as, detection

of a person’s cardiac pulse, dealing with artifacts’ motion, and real-time

display of the magnified blood flow. Then, the application measurements were

evaluated through tests with several individuals and compared to the ones

detected by the ViTrox application and to the readings of a sphygmomanometer.

Dependencies

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* OpenCV 2.4.x

Build

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Using SConstruct:

    scons

Run

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    ./pulse