Electrocardiogram (ECG) is useful clinical information containing the condition of heart. The features of variations in ECG signal with time-varying morphological characteristics needs to be extracted by signal processing method because these are not easily visible in the conventional graphical presents of ECG signal. Large variations of simulated normal and noise corrupted ECG signal have been...

CONTEXT Minor electrocardiographic (ECG) ST-T abnormalities are common, but their prognostic importance has not been fully determined. OBJECTIVE To examine associations of single (1 time only) and multiple (2 times only and > or =3 times) nonspecific minor ST-T abnormalities in 5 years with long-term mortality due to myocardial infarction (MI), coronary heart disease (CHD), cardiovascular dis...

Periodontal disease is recognized as a risk factor for cardiovascular disease (CVD). Some studies have suggested that serum lipids might play a role in the association between periodontal disease and CVD. However, this hypothesis remains unproven. Present study evaluated the association between periodontal disease and CVD-related parameters including electrocardiographic (ECG) parameters and se...

A novel approach of automatic ECG analysis based on scale-scale signal representation is proposed. The approach uses curvature scale-space representation to locate main ECG waveform limits and peaks and may be used to correct results of other ECG analysis techniques or independently. Moreover dynamic matching of ECG CSS representations provides robust preliminary recognition of ECG abnormalitie...

OBJECTIVE To study abnormalities in the resting ECG as independent predictors for all cause, cardiovascular disease (CVD), and coronary heart disease (CHD) mortality in a population based random sample of men and women, and to explore whether their prognostic value is different between sexes. DESIGN AND SUBJECTS An age and sex stratified random sample was selected from the total Belgian popul...

Electrocardiogram (ECG) is generally used for diagnosis of cardiovascular abnormalities and disorders. An efficient method for analysing the ECG signal towards the detection of heart rate (HR) and ischemic episodes follows mainly five stages: pre-processing, feature extraction, heart rate detection, beat classification and ischemic episode recognition. The heart rate is calculated using the ext...

We are Using an individual’s electrocardiogram (ECG) as a means for checking individuals heart functioning and abnormalities (diseases) occurred in it. However, the presence of noise in an ECG trace complicates the analysis of ECG signal for identification of functioning and abnormalities in the heart. The primary noise sources in ECG are power line interference, electromyography (EMG) noise, e...

BACKGROUND Electrocardiogram (ECG) cardiovascular disease (CVD) abnormalities (ECG-CVD) are predictive of subsequent CVD events in the general population. Systemic lupus erythematosus (SLE) patients are vulnerable to CVD. We aimed to determine the prevalence of ECG-CVD in SLE patients and to examine the risk factors associated with ECG-CVD. METHODS A 12-lead resting supine ECG was performed o...