Evaluation of wavelet based methods in removing motion artifact from ECG signal
2015 (engelsk)Inngår i: IFMBE Proceedings, 2015, s. 1-4Konferansepaper, Publicerat paper (Fagfellevurdert)
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.
sted, utgiver, år, opplag, sider
2015. s. 1-4
Emneord [en]
ECG; ICA; Motion artifact; Wavelet transform
HSV kategori
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
Konferanse
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
2014-12-052014-12-052020-11-05bibliografisk kontrollert