On-line cancelling technique of ECG interference in the diaphragmatic electromyographic signals

Author

Deng, Y.-C. ; Wolf, W. ; Schnell, R.

Author_Institution

Inst. fur Math. und Datenverarbeitung, Univ. der Bundeswehr Munchen, Neubiberg, Germany

Volume

4

fYear

1997

fDate

30 Oct-2 Nov 1997

Firstpage

1566

Abstract

Describes an innovative ECG masking-filtering method (MFM) for rapid removal of ECG interference in diaphragmatic electromyographic (EMGdi) signals. The key feature of this approach is using a widened Hanning window for masking out the ECG complexes. The performance of the proposed technique is studied using computer simulations. To evaluate our method, we present a quantitative analysis of the signal-to-noise ratio (SNR) and the relative errors of the following spectral features: mean frequency, median frequency and high-to-low (H/L) ratio after cancellation. The usefulness of these parameters is shown for monitoring human diaphragm fatigue

Keywords

digital simulation; electrocardiography; electromyography; interference suppression; medical signal processing; online operation; patient monitoring; ECG complexes; ECG interference; ECG masking-filtering method; computer simulations; diaphragmatic electromyographic signals; high-to-low ratio; human diaphragm fatigue monitoring; mean frequency; median frequency; online interference cancellation technique; performance; relative errors; signal-to-noise ratio; widened Hanning window; Computer errors; Computer simulation; Computerized monitoring; Condition monitoring; Electrocardiography; Frequency; Interference cancellation; Magnetic force microscopy; Signal analysis; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-4262-3

Type

conf

DOI

10.1109/IEMBS.1997.757011

Filename

757011