Quantification of ECG late potentials by wavelet transformation

• Verfasst von: Dickhaus, Hartmut [VerfasserIn]
• Verfasst von: Khadra, Labib [VerfasserIn]
• Verfasst von: Brachmann, Johannes [VerfasserIn]
• Titel: Quantification of ECG late potentials by wavelet transformation
• Verf.angabe: H. Dickhaus, L. Khadra, J. Brachmann
• E-Jahr: 1994
• Jahr: June 1994
• Umfang: 8 S.
• Fussnoten: Elektronische Reproduktion der Druck-Ausgabe 13. Juni 2003 ; Gesehen am 22.05.2024
• Titel Quelle: Enthalten in: Computer methods and programs in biomedicine
• Ort Quelle: Amsterdam : Elsevier, 1985
• Jahr Quelle: 1994
• Band/Heft Quelle: 43(1994), 3, Seite 185-192
• ISSN Quelle: 1872-7565
• DOI: doi:10.1016/0169-2607(94)90069-8
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Late potentials
• Sach-SW: Time-frequency analysis
• Sach-SW: Wavelet transformation
• K10plus-PPN: 188953529X

Abstract

Late potentials of preprocessed ECG recordings from patients with sustained ventricular tachycardia and healthy control subjects are investigated by the wavelet transformation. The advantages of this non-stationary signal processing method are discussed in comparison with FFT spectrograms of artificial test signals. The energy distribution plots of these wavelet transformed test signals demonstrate the superiority in detection accuracy and frequency resolution compared with the corresponding spectrograms. For this reason a quantitative discrimination between the two clinical groups of patients and healty subjects was performed by calculating the scalograms of the wavelet transformed ECG signals in the time-frequency plane. The energy in the frequency band of 100-300 Hz during the last time segment of the QRS complex yielded best classification results.