Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Real-time Quantifying Heart Beat Rate from Facial Video Recording on a Smart Phone using Kalman Filters
University of Borås, Swedish School of Library and Information Science.
2014 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Photoplethysmography (PPG) can be carried out through facial video recording by a smart phone camera in ambient light. The main challenge is to eliminate motion artifacts and ambient noise. We describe a real-time algorithm to quantify the heart beat rate from facial video recording captured by the camera of a smart phone. We extract the green channel from the video. Then we normalize it and use a Kalman filter with a particular structure to eliminate ambient noise. This filter also enhances the heart pulse component in the signal distorted by Gaussian noise and white noise. After that we employ a band-pass FIR filter to remove the remaining motion artifacts. This is followed by peak detection or Lomb periodogram to estimate heart rate. The algorithm has low computational overhead, low delay and high robustness, making it suitable for real-time interaction on a smart phone. Finally we describe an Android application based on this study.

Place, publisher, year, edition, pages
IEEE , 2014.
Keyword [en]
Kalman filter, Photoplethysmography, PPG, Smartphone, Real-time, Motion artifact
National Category
Computer and Information Sciences
Research subject
Library and Information Science
Identifiers
URN: urn:nbn:se:hb:diva-7241Local ID: 2320/14337OAI: oai:DiVA.org:hb-7241DiVA: diva2:887952
Conference
16th IEEE International Conference on E-health Networking, Application & Services, 15-18 October, Natal RN Brazil
Available from: 2015-12-22 Created: 2015-12-22 Last updated: 2018-01-10

Open Access in DiVA

fulltext(637 kB)602 downloads
File information
File name FULLTEXT01.pdfFile size 637 kBChecksum SHA-512
28f2bb8c1c00275591f81dd64df52fc0f2b16729dd9e8e2c266a6b4ba8bd3c4531812d9c7ce8fb997ae15253920f1f0e9268d542edde4ccbb79938f4cf2ac891
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Wittek, Peter
By organisation
Swedish School of Library and Information Science
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 602 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 176 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf