Power spectral density estimates of populations of normal and abnormal 12 lead and Frank lead ECGs

Author

Celler, B.G. ; deChazal, P. ; Lovell, N.H.

Author_Institution

Sch. of Electr. Eng., New South Wales Univ., Kensington, NSW, Australia

Volume

4

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1407

Abstract

The authors compare the power spectral densities (PSD) of normal ECG´s with six different categories of abnormal ECGs, using the Welch´s averaged periodogram method. In the normal 12 lead ECG leads, peak power was in the range of 0.1074 to 3.1922 mv²/Hz for leads aVI and V2, and occurred in the frequency range of 1.5-4 Hz PSDs were negligible for frequencies >30 Hz. Significant differences (P<0.05) were observed in different frequency bands of normal and abnormal ECGs. These suggest that the total spectral energy and its distribution as a function of frequency, may contain important diagnostic information in the classification of normal and abnormal ECGs

Keywords

electrocardiography; medical signal processing; spectral analysis; 1.5 to 4 Hz; 30 Hz; ECG classification; Frank lead ECGs; Welch´s averaged periodogram method; abnormal 12 lead ECGs; diagnostic information; electrodiagnostics; frequency; frequency band; normal 12 lead; power spectral density estimates; total spectral energy; Ambient intelligence; Australia; Biomedical engineering; Databases; Electrocardiography; Filters; Frequency; Laboratories; Signal resolution; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.647478

Filename

647478