Comparison between EEMD, wavelet and FIR denoising: Influence on event detection in impedance cardiography

S. De Ridder, X. Neyt, N. Pattyn, P. F. Migeotte

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

During thoracic impedance signal acquisition, noise is inherently introduced and hence, denoising is required to allow for accurate event detection. This paper investigates the effectiveness of Ensemble Emperical Mode Decomposition to filter random noise. The performance of the EEMD method is compared with an optimal FIR filter and wavelet denoising. The IMF selection for signal reconstruction in the EEMD denoising method is optimized using a sequential search. Denoising performance was evaluated by the SNR and the accuracy in event detection after filtering. When all criteria are taken into account, wavelet seems to outperform both EEMD and FIR denoising.

OriginalspracheEnglisch
Titel33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Seiten806-809
Seitenumfang4
DOIs
PublikationsstatusVeröffentlicht - 2011
Veranstaltung33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, USA/Vereinigte Staaten
Dauer: 30 Aug. 20113 Sept. 2011

Publikationsreihe

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Konferenz

Konferenz33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Land/GebietUSA/Vereinigte Staaten
OrtBoston, MA
Zeitraum30/08/113/09/11

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