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Evaluation of wavelet based methods in removing motion artifact from ECG signal
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0001-8294-861X
School of Engineering, Auckland University of TechnologyAuckland, New Zealand .
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0003-1940-1747
2015 (Engelska)Ingår i: IFMBE Proceedings, 2015, s. 1-4Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Accurate recording and precise analysis of the electrocardiogram (ECG) signals are crucial in the pathophysiological study and clinical treatment. These recordings are often corrupted by different artifacts. The aim of this study is to propose two different methods, wavelet transform based on nonlinear thresholding and a combination method using wavelet and independent component analysis (ICA), to remove motion artifact from ECG signals. To evaluate the performance of the proposed methods, the developed techniques are applied to the real and simulated ECG data. The results of this evaluation are presented using quantitative and qualitative criteria. The results show that the proposed methods are able to reduce motion artifacts in ECG signals. Signal to noise ratio (SNR) of the wavelet technique is equal to 13.85. The wavelet-ICA method performed better with SNR of 14.23.

Ort, förlag, år, upplaga, sidor
2015. s. 1-4
Nyckelord [en]
ECG; ICA; Motion artifact; Wavelet transform
Nationell ämneskategori
Elektroteknik och elektronik
Identifikatorer
URN: urn:nbn:se:mdh:diva-26834DOI: 10.1007/978-3-319-12967-9_1ISI: 000347893000001Scopus ID: 2-s2.0-84910679330ISBN: 978-3-319-12966-2 (tryckt)OAI: oai:DiVA.org:mdh-26834DiVA, id: diva2:769138
Konferens
16th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics and Medicinteknikdagarna Joint Conferences, NBC 2014 and MTD 2014; Gothenburg; Sweden; 14 October 2014 through 16 October 2014; Code 110159
Tillgänglig från: 2014-12-05 Skapad: 2014-12-05 Senast uppdaterad: 2018-02-23Bibliografiskt granskad

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Abbaspour, SaraLindén, Maria

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