Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Elimination of ECG Artefacts in Foetal EEG Using Ensemble Average Subtraction and Wavelet Denoising Methods: A Simulation
KTH, Skolan för teknik och hälsa (STH), Medicinsk teknik, Medicinska sensorer, signaler och system.ORCID-id: 0000-0001-7807-8682
KTH, Skolan för teknik och hälsa (STH), Medicinsk teknik, Medicinska sensorer, signaler och system.ORCID-id: 0000-0002-6995-967X
KTH, Skolan för teknik och hälsa (STH), Medicinsk teknik, Medicinska sensorer, signaler och system.
2014 (Engelska)Ingår i: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, Springer, 2014, s. 551-554Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Biological signals recorded from surface electrodes contain interference from other signals which are not desired and should be considered as noise. Heart activity is especially present in EEG and EMG recordings as a noise. In this work, two ECG elimination methods are implemented; ensemble average subtraction (EAS) and wavelet denoising methods. Comparison of these methods has been done by use of simulated signals achieved by adding ECG to neonates EEG. The result shows successful elimination of ECG artifacts by using both methods. In general EAS method which remove estimate of all ECG components from signal is more trustable but it is also harder for implementation due to sensitivity to noise. It is also concluded that EAS behaves like a high-pass filter while wavelet denoising method acts as low-pass filter and hence the choice of one method depends on application.

Ort, förlag, år, upplaga, sidor
Springer, 2014. s. 551-554
Serie
IFMBE Proceedings, ISSN 1680-0737 ; 41
Nyckelord [en]
Biological signals, Ecg artifacts, Elimination method, Ensemble averages, Heart activities, Simulated signals, Surface electrode, Wavelet denoising method
Nationell ämneskategori
Annan medicinteknik
Identifikatorer
URN: urn:nbn:se:kth:diva-136738DOI: 10.1007/978-3-319-00846-2_136Scopus ID: 2-s2.0-84891305757ISBN: 978-3-319-00845-5 (tryckt)OAI: oai:DiVA.org:kth-136738DiVA, id: diva2:676938
Konferens
13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013; Seville; Spain; 25 September 2013 through 28 September 2013
Anmärkning

QC 20140113

Tillgänglig från: 2013-12-08 Skapad: 2013-12-08 Senast uppdaterad: 2017-08-15Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Sök vidare i DiVA

Av författaren/redaktören
Abtahi, FarhadSeoane, FernandoLindecrantz, Kaj
Av organisationen
Medicinska sensorer, signaler och system
Annan medicinteknik

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetricpoäng

doi
isbn
urn-nbn
Totalt: 341 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf