Novel technique for ST-T interval characterization in patients with acute myocardial ischemia

Correa, Raúl; Arini, Pedro David; Correa, L.; Valentinuzzi, Max E.; Laciar, Eric

doi:10.1016/j.compbiomed.2014.04.009

Cited by 27 publications

(18 citation statements)

References 18 publications

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“…Exclusively, it was considered that each annotated ischaemic episode in the database contains only ischaemic beats. The performance of our method cannot be judged against other methods (Afsar et al, 2008; Baxt, 1991; Correa et al, 2014; Don et al, 2010; Exarchos et al, 2007; Garcia et al, 2000; Gramatikov et al, 2000; Kumar and Singh, 2016a, 2016b; Lemire et al, 2000; Maglaveras, 1998; Murugan and Radhakrishnan, 2010; Papadimitriou et al, 2001; Papaloukas et al, 2004; Park et al, 2012; Ranjith et al, 2003; Rocha et al, 2010; Stamkopoulos et al, 1998; Tsipouras et al, 2007; Zahan, 2001), as they employed different performance measures or different databases or different datasets. The obtained results are better than those of other approaches (Andreao et al, 2004; Jager et al, 1992; Papaloukas et al, 2001, 2002; Rocha et al, 2010; Silipo and Marchesi, 1998; Silipo et al, 1994; Stamkopoulos et al, 1992; Taddei et al, 1995; Vila et al, 1997) in terms of both S E and +P.…”

Section: Comparison With Existing Methodsmentioning

confidence: 96%

Statistical analysis of ST segments in ECG signals for detection of ischaemic episodes

Kumar

Singh

2016

Transactions of the Institute of Measurement and Control

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This paper highlights a new method for the detection of ischaemic episodes using statistical features derived from ST segment deviations in electrocardiogram (ECG) signal. Firstly, ECG records are pre-processed for the removal of artifacts followed by the delineation process. Then region of interest (ROI) is defined for ST segment and isoelectric reference to compute the ST segment deviation. The mean thresholds for ST segment deviations are used to differentiate the ischaemic beats from normal beats in two stages. The window characterization algorithm is developed for filtration of spurious beats in ischaemic episodes. The ischaemic episode detection is made through the coefficient of variation (COV), kurtosis and form factor. A bell-shaped normal distribution graph is generated for normal and ischaemic ST segments. The results show average sensitivity (Se) 97.71% and positive predictivity (+P) 96.89% for 90 records of the annotated European ST-T database (EDB) after validation. These results are significantly better than those of the available methods reported in the literature. The simplicity and automatic discarding of irrelevant beats makes this method feasible for use in clinical systems.

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Section: Comparison With Existing Methodsmentioning

confidence: 96%

Statistical analysis of ST segments in ECG signals for detection of ischaemic episodes

Kumar

Singh

2016

Transactions of the Institute of Measurement and Control

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“…Also, six from the orthogonal ECG leads (X, Y, Z), two evaluated on the QRS complex waves and four on the ST-T segment. In the same way as in previous works, we have analyzed beat-tobeat morphological changes of the VCG and ECG [5,6]. We defined Figure 2a).…”

Section: Vcg -Ecg's Features Extractionmentioning

confidence: 99%

“…• T-wave Vector Difference (T VD ) [mVs]: It is defined as the difference area between the ECG signal at the current T-wave interval and the reference T-wave interval, evaluated during the first 30 s of each record [6] (▶ Figure 2f), that is,…”

Section: Vcg -Ecg's Features Extractionmentioning

confidence: 99%

“…It was demonstrated that these parameters, combined with the classic indexes, increase sensitivity and specificity for acute ischemia monitoring. Finally, in [6], we proposed a vectorcardiographic analysis of the ventricular repolarization (ST-T interval) to monitor acute myocardial ischemia. To this end, we computed four vectorcardiographic parameters and two conventional indexes before and during Coronary Angioplasty.…”

Section: Introductionmentioning

confidence: 99%

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Identification of Patients with Myocardial Infarction

Correa¹,

Arini²,

Correa³

et al. 2016

Methods Inf Med

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The new multivariable MI patient identification and localization technique, based on ECG and VCG combination indexes, offered excellent performance to differentiating populations with MI from healthy subjects. Furthermore, this technique might be applicable to estimating the infarcted area localization. In addition, the proposed method would be an alternative diagnostic technique in the emergency room.

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“…In addition, VCG loops may have clinical importance for detecting cardiac diseases such as myocardial infarction or myocardial injury in coronary surgery over conventional ECG analysis [19,94], which is not easy to observe from a scalar ECG signal. Therefore, it has been proposed over recent decades by various researchers that VCG has significant utility compared to the standard 12-lead standard ECG [13,14,60,84]. As VCG represents the spatial and temporal information of the heart action, it is thought to be a very promising tool for diagnosis of heart diseases [12,73,93,96] and also can be extended as a marker for biometrics [1].…”

Section: Introductionmentioning

confidence: 99%

A review of beat-to-beat vectorcardiographic (VCG) parameters for analyzing repolarization variability in ECG signals

Hasan¹,

Abbott²

2016

Biomedical Engineering / Biomedizinische Technik

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Elevated ventricular repolarization lability is believed to be linked to the risk of ventricular tachycardia/ventricular fibrillation. However, ventricular repolarization is a complex electrical phenomenon, and abnormalities in ventricular repolarization are not completely understood. To evaluate repolarization lability, vectorcardiography (VCG) is an alternative approach where the electrocardiographic (ECG) signal can be considered as possessing both magnitude and direction. Recent research has shown that VCG is advantageous over ECG signal analysis for identification of repolarization abnormality. One of the key reasons is that the VCG approach does not rely on exact identification of the T-wave offset, which improves the reproducibility of the VCG technique. However, beat-to-beat variability in VCG is an emerging area for the investigation of repolarization abnormality though not yet fully realized. Therefore, the purpose of this review is to explore the techniques, findings, and efficacy of beat-to-beat VCG parameters for analyzing repolarization lability, which may have potential utility for further study.

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Novel technique for ST-T interval characterization in patients with acute myocardial ischemia

Cited by 27 publications

References 18 publications

Statistical analysis of ST segments in ECG signals for detection of ischaemic episodes

Statistical analysis of ST segments in ECG signals for detection of ischaemic episodes

Identification of Patients with Myocardial Infarction

A review of beat-to-beat vectorcardiographic (VCG) parameters for analyzing repolarization variability in ECG signals

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