Title :
Rejection of the maternal electrocardiogram in the electrohysterogram signal
Author :
Leman, Héeléene ; Marque, Catherine
Author_Institution :
Dept. of Biomed. Eng., Univ. de Technol. de Compiegne, France
Abstract :
The electrohysterogram (EHG) signal is mainly corrupted by the mother´s electrocardiogram (ECG), which remains present despite analog filtering during acquisition, Wavelets are a powerful denoising tool and have already proved their efficiency on the EHG. In this paper, the authors propose a new method that employs the redundant wavelet packet transform. They first study wavelet packet coefficient histograms and propose an algorithm to automatically detect the histogram mode number. Using a new criterion, the authors compute a best basis adapted to the denoising. After EHG wavelet packet coefficient thresholding in the selected basis, the inverse transform is applied. The ECG seems to be very efficiently removed.
Keywords :
bioelectric potentials; electrocardiography; medical signal processing; obstetrics; wavelet transforms; algorithm; analog filtering; denoising tool; electrodiagnostics; electrohysterogram signal; histogram mode number automatic detection; inverse transform; maternal electrocardiogram rejection; mother´s ECG; redundant wavelet packet transform; wavelet packet coefficient histograms; Biomedical engineering; Electrocardiography; Filtering; Frequency; Histograms; Low-frequency noise; Noise reduction; Pregnancy; Wavelet packets; Wavelet transforms; Algorithms; Biomedical Engineering; Electrocardiography; Female; Humans; Pregnancy; Signal Processing, Computer-Assisted; Uterine Monitoring;
Journal_Title :
Biomedical Engineering, IEEE Transactions on