Abstract
Heart condition diagnosis based on electrocardiogram signal analysis is the basic method used in prevention of cardiovascular diseases, which are recognized as the leading cause of death globally. To anticipate the occurrence of ventricular arrhythmia, the detection of Ventricular Late Potentials (VLPs) is clinically worthwhile. VLPs are low-amplitude and high-frequency signals appearing at the end part of QRS complexes in the electrocardiogram, which can be considered as a robust feature for arrhythmia risk stratification in patients with cardiac diseases. This paper proposes a beat-to-beat VLP detection method based on the the marginal component analysis and investigates its performance taking into account different ratios between QRS and VLP power. After a denoising phase, performed adopting the singular vector decomposition technique, heartbeats characterized by VLP onsets are identified and extracted taking into account the vector magnitude of each high resolution ECG (HR-ECG) record. To evaluate the proposed method performance, a 15-lead HR-ECG database consisting of real VLP-negative and simulated VLP-positive patterns was used. The achieved results highlight the method validity for VLP detection.
Highlights
After a denoising phase, performed adopting the singular vector decomposition technique, heartbeats characterized by Ventricular Late Potentials (VLPs) onsets are identified and extracted taking into account the vector magnitude of each high resolution ECG (HR-ECG) record
Denoting with AQRS /AVLP the ratio between the R peak amplitude and the VLP amplitude of the same heartbeat, the conceived system reached a sensitivity, specificity and accuracy of about 95.3%, 94.5% and 94.3%, respectively, at a rate of AQRS /AVLP equal to 40 dB
It is shown that accuracy not lower than 90% was achieved up to AQRS /AVLP = 45 dB (Table 1)
Summary
The shape of electrocardiographic signal is considered by cardiologists as representative of the heart state and, is useful in detecting cardiac pathologies such as arrhythmia [1,2].Many types of arrhythmias have been classified based on heart rate and mechanism or site of origin.Some of them are benign but others may indicate the presence of serious heart disease, stroke or sudden cardiac death [3].To prevent malignant ventricular arrhythmias in patients with arrhythmogenic right ventricular cardiomyopathy, the detection of ventricular late potential (VLP) signals is useful and helpful [4].they are used as non-invasive markers for the prognosis of sudden cardiac death risk in patients recovering from myocardial infarction [5,6]. The shape of electrocardiographic signal is considered by cardiologists as representative of the heart state and, is useful in detecting cardiac pathologies such as arrhythmia [1,2]. Some of them are benign but others may indicate the presence of serious heart disease, stroke or sudden cardiac death [3]. To prevent malignant ventricular arrhythmias in patients with arrhythmogenic right ventricular cardiomyopathy, the detection of ventricular late potential (VLP) signals is useful and helpful [4]. They are used as non-invasive markers for the prognosis of sudden cardiac death risk in patients recovering from myocardial infarction [5,6]. Detection of VLP occurrences means that additional information about patient heart conditions is provided to physicians
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