PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 10627952

Time-frequency analysis of ECG signals using an image processing technique.

M E Tagluk·M J English
View original source ↗Export metadata ↓

Abstract

To overcome limitations that occur in time-frequency representations (TFR) of signals, a new technique that considers the ambiguity function (AF) is proposed. This work firstly introduces a filtering technique that is based on the processing of the image of the AF of the signal. Secondly it shows the potential of this technique in application to ECG signal analysis by comparing some kernel-based techniques. The analytic form of the ECG is used to eliminate aliasing and the cross terms generated by the negative spectra that appear in TFRs. This work shows that data adaptive time-frequency analysis of the ECG by image processing techniques is possible and potentially useful.

Explore related subjects

ElectrocardiographyHumansImage Processing, Computer-AssistedModels, CardiovascularComparative StudyJournal Article

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

M E Tagluk, M J English. Time-frequency analysis of ECG signals using an image processing technique.. https://doi.org/10.1080/030919099294140

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2007

Wave similarity of human ventricular fibrillation from bipolar electrograms.

AIMS: The aim of this report was to review existing techniques for assessment of directionality in fibrillation and to describe the concept of wave similarity analysis in human VF. METHODS: We applied a technique called wave similarity analysis to bipolar electrograms to study directionality during various rhythms (sinus rhythm, ventricular tachycardia and ventricular fibrillation) in humans. This technique uses the barycentre to determine the activation time and a similarity index is calculated using a technique described previously for AF studies. RESULTS: We show here that using the wave similarity concept it is possible to recognize myocardial regions that are activated from multiple directions and differentiate those areas from regions that are activated by wave fronts in similar direction or at the exact mirror angle in ventricular fibrillation. CONCLUSIONS: Wave similarity analysis provides a tool for assessing directional organization in human VF. This analysis of directional organization may have implications for the study of mechanisms of VF in the clinical arena.

Electrocardiography↗
PubMed2007

Effects of exercise training on heart rate and QT interval in healthy young individuals: are there gender differences?

AIMS: The aim of the present study was to assess the effects of exercise training on heart rate, QT interval, and on the relation between ventricular repolarization and heart rate in men and women. METHODS AND RESULTS: A 24 h Holter recording was obtained in 80 healthy subjects (40 males) who differed for the degree of physical activity. Trained individuals showed a lower heart rate and a higher heart rate variability than sedentary subjects, independent of the gender difference in basal heart rate. Mean 24 h QTc was similar in trained and non-trained men, while a significant difference was observed between trained and non-trained women. Exercise training reduced the QT/RR slope in both genders. This effect on the QT/RR relation was more marked in women; in fact, the gender difference in the ventricular repolarization duration at low heart rate observed in sedentary subjects was no longer present among trained individuals. CONCLUSION: The results of this study suggest that the cardiovascular response to exercise training may be different in men and women. Women may benefit more from interventions aimed to increase physical activity as a tool for prevention of cardiovascular morbidity and mortality.

Electrocardiography↗