Title :
Noninvasive His-bundle electrocardiogram: toward beat-to-beat electromyogram noise removal
Author :
Bazhyna, A. ; Gotchev, A. ; Christov, Il ; Daskalov, I.K. ; Egiazarian, K.
Author_Institution :
Inst. of Signal Process., Tampere Univ. of Technol., Finland
Abstract :
EMG noise is a very impeding factor for beat-to-beat detection of His micropotentials in high-resolution ECG. Its reduction was attempted by a two-stage wavelet-domain Wiener filtering procedure. In the first stage, a pilot signal estimate was obtained by averaging a rather small number (∼20) of successive beats synchronized to the R peak. In the second stage, this pilot signal together with EMG noise variance estimate, was used in the wavelet-domain Wiener filtering. The proposed noise suppression technique establishes a compromise between the need of beat-to-beat evaluation of the His potential and the noise-suppression-effective averaging. The algorithm shows adequate performance for records containing both moderate EMG and power-line interference, and for ECGs of sufficiently long P-Q interval (P-wave separated from Q-wave).
Keywords :
Wiener filters; electrocardiography; electromyography; interference suppression; medical signal detection; medical signal processing; His micropotentials detection; beat-to-beat electromyogram noise removal; long P-Q interval; noise-suppression-effective averaging; noninvasive His-bundle electrocardiogram; power-line interference; two-stage wavelet-domain Wiener filtering; Adaptive filters; Biomedical signal processing; Decorrelation; Electrocardiography; Electromyography; Karhunen-Loeve transforms; Noise generators; Noise reduction; Signal processing; Wiener filter;
Conference_Titel :
Computers in Cardiology, 2003
Print_ISBN :
0-7803-8170-X
DOI :
10.1109/CIC.2003.1291213