Enhancement of time-frequency properties of ECG for detecting micropotentials by wavelet transform. based method
Küçük Resim Yok
Tarih
2008
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Pergamon-Elsevier Science Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Time-frequency distributions have been widely utilized in the analysis of transients' nature of biomedical signals. In these applications, the time-frequency components with very small amplitude values cannot be displayed clearly. This drawback results from a masking effect on these components by the presence of high-energy slow waves and sharp patterns in the signal that produces large values in the time-frequency distributions. In this paper, we proposed an effective signal preprocessing method-using kurtosis-based denoising of wavelet coefficients. This method enhances the time-frequency distributions so that the masking effect is greatly reduced, while the original time-frequency signatures of the input signal are preserved. Experimental studies on ECG signal coming from MIT-BIH database, with and without preprocessing methods have shown a clear improvement in observability and sensivity in the time-frequency distributions. (c) 2006 Elsevier Ltd. All rights reserved.
Açıklama
Anahtar Kelimeler
biomedical signal processing, electrocardiogram, ventricular late potentials, time-frequency analysis, wavelet transform, higher-order statistics
Kaynak
Expert Systems With Applications
WoS Q Değeri
Q1
Scopus Q Değeri
Cilt
34
Sayı
1
