DocumentCode
3070398
Title
Improving the transform domain ECG denoising performance by applying interbeat and intra-beat decorrelating transforms
Author
Gotchev, A. ; Nikolaev, N. ; Egiazarian, K.
Author_Institution
Int. Center for Signal Process., Tampere Univ. of Technol., Finland
Volume
2
fYear
2001
fDate
6-9 May 2001
Firstpage
17
Abstract
A method for suppression of electromyogram (EMG) interference in electrocardiogram (EGG) recordings is presented, It combines inter-beats and intra-beats decorrelation techniques with transform domain Wiener filtering. The interbeats relations are kept by a short window DCT over multichannel data representing the successive beats, and the Wiener filtering is performed in translation-invariant wavelet domain. The method results in improved signal-to-noise ratio of the processed signals and reduced ripple artifacts around the signal transients, thus preserving the true waveform in diagnostically important signal segments. The algorithm´s structure allows an on-line parallel processing and can be built in the ECG registration systems
Keywords
decorrelation; discrete cosine transforms; electrocardiography; electromyography; interference suppression; medical signal processing; ECG registration; EMG; Wiener filtering; diagnostics; electrocardiogram recordings; electromyogram interference suppression; interbeat decorrelating transforms; intra-beat decorrelating transforms; multichannel data; online parallel processing; reduced ripple artifacts; signal transients; signal-to-noise ratio; successive beats; transform domain Wiener filtering; translation-invariant wavelet domain; true waveform; Decorrelation; Discrete cosine transforms; Electrocardiography; Electromyography; Interference suppression; Noise reduction; Signal processing; Signal to noise ratio; Wavelet domain; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location
Sydney, NSW
Print_ISBN
0-7803-6685-9
Type
conf
DOI
10.1109/ISCAS.2001.920995
Filename
920995
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