A wavelet based method for the QRS complex detection in the electrocardiogram signal

• Autorzy: Chyliński M.
• Języki publikacji: EN

Abstrakty

EN

This paper presents results of the R-peak detection in the QRS com-plex of electrocardiogram (ECG) signal using the Multiscale Peak Detection. The proposed method based on a wavelet analysis can be used to diagnose heart diseases. Electrocardiographic examinations have been performed using a 12 Leads Digital Holter recorder AsPEKT 812 manufactured by Aspel. A QRS complex detector has been designed in the LabView environment with the Ad-vanced Signal Processing Toolkit.

• Wydawca: Oficyna Wydawnicza Politechniki Opolskiej
• Czasopismo: Zeszyty Naukowe. Elektryka / Politechnika Opolska
• Rocznik: 2018
• Tom: z. 76
• Strony: 21--22
• Opis fizyczny: Bibliogr. 3 poz., rys., tab.

Twórcy

autor

Chyliński M.

Bibliografia

• [1] BAUER A., et al.: Deceleration capacity of heart rate as a predictor of mortality after myocardial infarction: cohort study. Lancet 367, 16741681, 2006
• [2] CHRISTOV I.: Real time elecrocardiogram QRS detection using combined adaptive threshold. Biomedical engineering online, Vol. 3, No. 28. DOI: 10.1186/1475-925X-3-28, 2004
• [3] RABBANI H., MAHJOOB M.P., FARAHABADI E., FARAHABADI A.: R Peak Detection in Electrocardiogram Signal Based on an Optimal Combination of Wavelet Transform, Hilbert Transform, and Adaptive Thresholding. Journal of Medical Signals and Sensors, Vol. 1, No. 2, pp. 91–98, 2011

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).