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

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

Résultats de recherche: Chapitre dans un livre, un rapport, des actes de conférencesContribution à une conférenceRevue par des pairs

Résumé

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.

langue originaleAnglais
titre33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages806-809
Nombre de pages4
Les DOIs
étatPublié - 2011
Evénement33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, États-Unis
Durée: 30 août 20113 sept. 2011

Série de publications

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

Une conférence

Une conférence33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pays/TerritoireÉtats-Unis
La villeBoston, MA
période30/08/113/09/11

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