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Sparse Coding of Cardiac Signals for Automated Component Selection after Blind Source Separation
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2016 (English)In: / [ed] Murray, A, IEEE , 2016, 785-788 p.Conference paper, Abstract (Refereed)
Abstract [en]

Wearable sensor technology like textile electrodes provides novel ambulatory health monitoring solutions but most often goes along with low signal quality. Blind Source Separation (BSS) is capable of extracting the Electrocardiogram (ECG) out of heavily distorted multichannel recordings. However, permutation indeterminacy has to be solved, i.e. the automated selection of the desired BSS output. To that end we propose to exploit the sparsity of the ECG modeled as a spike train of successive heartbeats. A binary code derived from a two-item dictionary {peak, no peak} and physiological a-priori information temporally represents every BSS output component. The (best) ECG component is automatically selected based on a modified Hamming distance comparing the components' code with the expected code behavior. Non-standard ECG recordings from ten healthy subjects performing common motions while wearing a sensor garment were subsequently processed in 10 s segments with spatio-temporal BSS. Our sparsity-based selection RCODE achieved 98.1% heart beat detection accuracy (ACC) by selecting a single component each after BSS. Traditional component selection based on higher-order statistics (e.g. skewness) achieved only 67.6% ACC.

Place, publisher, year, edition, pages
IEEE , 2016. 785-788 p.
Series
Computing in Cardiology Conference, ISSN 2325-8861 ; 43
National Category
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-138248ISI: 000405710400197ISBN: 978-1-5090-0895-7 OAI: oai:DiVA.org:umu-138248DiVA: diva2:1134912
Conference
43rd Computing in Cardiology Conference (CinC), SEP 11-14, 2016, Vancouver, CANADA
Available from: 2017-08-21 Created: 2017-08-21 Last updated: 2017-08-21Bibliographically approved

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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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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