Wavelet-Based Post-Processing Methods for the Enhancement of Non-Invasive Fetal ECG

Baldazzi G.;Sulas E.;Tumbarello R.;Raffo L.;Pani D.
2019

Abstract

Despite the number of techniques developed in the literature, the extraction of a clean fetal ECG (fECG) from non-invasive recordings is still an open research issue. In this work, different wavelet-based post-processing approaches for the denoising of the fECG were evaluated. A small dataset composed of twenty signals recorded from ten pregnant women between the 21st and the 27th week of gestation was adopted. fECG extraction was accomplished by using a multireference QR-decomposition-based recursive least squares adaptive filter. Then, all signals were decomposed with the stationary wavelet transform (SWT) and stationary wavelet packet transform (SWPT), using a 7-level decomposition with Haar mother wavelet and hard-thresholding. Two different thresholds from the literature were tested: the first one is level-independent (Minimax) while the other one is level-dependent. The latter was adapted to be exploited on SWPT. The enhancement of the fetal QRS complex was analyzed by computing the improvement of the signal-to-noise ratio and the performance of a fetal QRS detector. The comparative analysis revealed how the SWT outperforms the more complex SWPT, regardless the thresholding approach.
Inglese
Computing in Cardiology
IEEE Computer Society
STATI UNITI D'AMERICA
46
4
2019 Computing in Cardiology, CinC 2019
Contributo
Esperti anonimi
8-11 Sept. 2019
Singapore
internazionale
scientifica
adaptive filters, electrocardiography, medical signal processing, obstetrics, signal denoising, wavelet transforms
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Baldazzi, G.; Sulas, E.; Brungiu, E.; Urru, M.; Tumbarello, R.; Raffo, L.; Pani, D.
273
7
4.1 Contributo in Atti di convegno
reserved
info:eu-repo/semantics/conferencePaper
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