mdh.sePublications
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
Robust heartbeat detector based on weighted correlation and multichannel input: Implementation on the ECG recorded with textile electrodes
Linköping University.
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0003-1940-1747
Linköping University.
Linköping University.
Show others and affiliations
2013 (English)In: International Journal of E-Health and Medical Communications, ISSN 1947-315X, Vol. 4, no 1, 61-71 p.Article in journal (Refereed) Published
Abstract [en]

The aim of this study was to develop and evaluate a robust heartbeat detector for noisy electrocardiograms (ECGs) recorded with textile electrodes. The authors suggest a method based on weighted correlation in a multi-channel ECG to obtain a heartbeat detector. Signals were acquired during rest and at movements which simulate every day activities. From each recording a segment corresponding to a heartbeat was extracted and correlated with the whole signal. From the correlation data, heartbeat candidates were derived and weighted based on their variance similarity with the heartbeat model and previous heartbeats. Finally, the outputs of each channel were added to create the global output. The output was compared to the Pan Tompkins heartbeat detector. Results are promising for recordings at rest (sensitivity = 0.97, positive predictive value (PPV) = 0.97). For static muscle tension in the torso the results were much higher than the reference method (sensitivity = 0.77, PPV = 0.85). Corresponding values for the reference method were sensitivity = 0.96 and PPV = 0.95 at rest and sensitivity = 0.52 and PPV = 0.75 during muscle tension.

Place, publisher, year, edition, pages
2013. Vol. 4, no 1, 61-71 p.
Keyword [en]
Electrocardiogram monitoring (ECG monitoring), Heartbeat detection, Multi-channel electrocardiogram (multi-channel ECG), Noise suppression, Textile electrodes
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-20831DOI: 10.4018/jehmc.2013010106Scopus ID: 2-s2.0-84880543044OAI: oai:DiVA.org:mdh-20831DiVA: diva2:638786
Available from: 2013-08-02 Created: 2013-08-02 Last updated: 2013-12-03Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Lindén, Maria
By organisation
School of Innovation, Design and Engineering
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 36 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