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K-NN Based Interpolation to Handle Artifacts for Heart Rate Variability Analysis
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0002-1212-7637
Mälardalen University, School of Innovation, Design and Engineering.
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0003-3802-4721
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0002-5562-1424
2011 (English)In: IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2011, IEEE , 2011, 387-392 p.Conference paper, Published paper (Refereed)
Abstract [en]

Heart rate variability (HRV) is a popular parameter for depicting activities of autonomous nervous system and helps to explain various physiological activities of the body. A small amount of artifacts can produce significant changes especially, for time domain HRV features. Manual correction of artifacts performed by visual inspection of the signal by experts is tedious and time consuming and often leads to incorrect result especially for long term recordings. Therefore, an automatic artifact removing approach that helps to provide clinically useful HRV analysis is valuable. This paper proposes an algorithm that detects and replaces artifacts from inter-beat interval (IBI) signal for HRV analysis. The detection is mainly based on windowing technique and interpolation is performed using the k-nearest neighbour (K-NN) algorithm. The experimental work shows a promising performance in handling artifacts for HRV analysis using electrocardiogram (ECG) sensor signal.

Place, publisher, year, edition, pages
IEEE , 2011. 387-392 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-13606DOI: 10.1109/ISSPIT.2011.6151593Scopus ID: 2-s2.0-84857869956OAI: oai:DiVA.org:mdh-13606DiVA: diva2:466149
Conference
11th IEEE International Symposium on Signal Processing and Information Technology, Bilbao, 14-17 December 2011
Available from: 2011-12-15 Created: 2011-12-15 Last updated: 2017-01-25Bibliographically approved

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Begum, ShahinaAhmed, Mobyen UddinFunk, Peter
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • 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