scholarly journals Phase Space Reconstruction Based CVD Classifier Using Localized Features

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Naresh Vemishetty ◽  
Ramya Lakshmi Gunukula ◽  
Amit Acharyya ◽  
Paolo Emilio Puddu ◽  
Saptarshi Das ◽  
...  
Keyword(s):  
Phase Space ◽  
Qt Interval ◽  
Phase Space Reconstruction ◽  
Phase Portraits ◽  
P Value ◽  
Qrs Complex ◽  
Bundle Branch Block ◽  
Pr Interval ◽  
Generalized Phase Space

Abstract This paper proposes a generalized Phase Space Reconstruction (PSR) based Cardiovascular Diseases (CVD) classification methodology by exploiting the localized features of the ECG. The proposed methodology first extracts the ECG localized features including PR interval, QRS complex, and QT interval from the continuous ECG waveform using features extraction logic, then the PSR technique is applied to get the phase portraits of all the localized features. Based on the cleanliness and contour of the phase portraits CVD classification will be done. This is first of its kind approach where the localized features of ECG are being taken into considerations unlike the state-of-art approaches, where the entire ECG beats have been considered. The proposed methodology is generic and can be extended to most of the CVD cases. It is verified on the PTBDB and IAFDB databases by taking the CVD including Atrial Fibrillation, Myocardial Infarction, Bundle Branch Block, Cardiomyopathy, Dysrhythmia, and Hypertrophy. The methodology has been tested on 65 patients’ data for the classification of abnormalities in PR interval, QRS complex, and QT interval. Based on the obtained statistical results, to detect the abnormality in PR interval, QRS complex and QT interval the Coefficient Variation (CV) should be greater than or equal to 0.1012, 0.083, 0.082 respectively with individual accuracy levels of 95.3%, 96.9%, and 98.5% respectively. To justify the clinical significance of the proposed methodology, the Confidence Interval (CI), the p-value using ANOVA have been computed. The p-value obtained is less than 0.05, and greater F-statistic values reveal the robust classification of CVD using localized features.

scholarly journals The Apparent and the Effective PR Interval, Insights for Cardiac Pacing

2011 ◽  
Vol 4 ◽  
pp. CCRep.S8227
Author(s):  
Antoine Kossaify
Keyword(s):  
Right Ventricular ◽  
Male Patient ◽  
Right Bundle Branch Block ◽  
Cardiac Pacing ◽  
Qrs Complex ◽  
Dual Chamber ◽  
Bundle Branch Block ◽  
Dual Chamber Pacemaker ◽  
Pr Interval ◽  
Av Delay

A 75-year-old-male patient with dual chamber pacemaker presented with a bizarre EKG showing a unique spike within the QRS complex. Apparent PR interval was 160 ms and effective atrio- right ventricular delay was 210 ms due to right bundle branch block. Sensed AV delay was set at 180 ms causing pseudofusions. Insights regarding cardiac pacing are presented.

scholarly journals Electrocardiographic specificities in athletes

2013 ◽  
Vol 66 (5-6) ◽  
pp. 225-232
Author(s):  
Sanja Mazic ◽  
Biljana Lazovic ◽  
Marina Djelic ◽  
Zoran Stajic ◽  
Zdravko Mijailovic
Keyword(s):  
Cardiovascular Diseases ◽  
Sudden Cardiac Death ◽  
European Society ◽  
Qt Interval ◽  
Cardiac Death ◽  
Sinus Bradycardia ◽  
Screening Method ◽  
Bundle Branch Block ◽  
European Society Of Cardiology

Introduction. The use of electrocardiogram in athletes as a routine screening method for diagnosing potentially dangerous cardiovascular diseases is still an issue of debate. According to the guidelines of the European Society of Cardiology, the recording of electrocardiogram is necessary in all athletes as a screening method, whereas the guidelines of the American Heart Association do not necessitate an electrocardiogram as a screening method and they insist on detailed personal and family history and clinical examination. Classification of electrocardiogram changes in athletes. According to the classification of the European Society of Cardiology, electrocardiogram changes in athletes are divided into two groups: a) usual (physiological) that are connected with training; b) unusual (potentially clinically relevant) that are not connected with training. Sudden cardiac death in athletes. The most frequent causes include hypertrophic cardiomyopathy and congenital coronary artery anomalies, while others may be found only sporadically at autopsy. Physiological electrocardiogram changes are frequent in asymptomatic athletes and they do not require further assessment. They include sinus bradycardia, atrioventricular blocks of I and II degree - Wenkebach, isolated increased QRS voltage, incomplete right bundle branch block and early repolarization. Potentially pathological electrocardiogram changes in athletes are not frequent but they are alarming and they urge further assessment to diagnose the underlying cardiovascular disease as well as the prevention of sudden cardiac death. They include: T wave inversion, ST segment depression, complete right or left bundle branch block, atrial pre-excitation syndrome-WPW, long QT interval, short QT interval, Brugada like electrocardiogram finding. Conclusion. Introduction of electrocardiogram recording into the screening protocol in athletes increases the sensitivity of evaluation and may help to discover asymptomatic cardiovascular diseases that may cause sudden cardiac death. Special attention and further assessment are required when the above potentially pathological electrocardiogram changes are found in athletes.

scholarly journals Electrocardiographic patterns of Mangalarga Marchador horses before and after implementation of the marcha gait

2016 ◽  
Vol 46 (5) ◽  
pp. 915-920 ◽  
Author(s):  
Clarisse Simões Coelho ◽  
Gabriella Agra de Omena e Silva ◽  
Luiz Antonio Trindade Oliveira Junior ◽  
Vanessa Sartor Moraes ◽  
Laura Monteiro de Castro Conti ◽  
...  
Keyword(s):  
Qt Interval ◽  
P Wave ◽  
Qrs Complex ◽  
Sinus Arrhythmia ◽  
Qt Intervals ◽  
Pr Interval ◽  
Before And After ◽  
Kolmogorov Smirnov ◽  
Electrocardiographic Parameters ◽  
T Waves

ABSTRACT: The aim of this study was to evaluate the electrocardiographic parameters in Mangalarga Marchador horses submitted to marcha exercise. Twenty-four Mangalarga Marchador horses, thirteen females and eleven males, 6.4±2.7 years old with a mean weight of 428.3±24.7kg, were used. Electrocardiograms were recorded in two different moments: rest and immediately after exercise (40 minutes of aerobic exercise, marcha gait). The electrocardiographic variables analyzed were cardiac rhythm, heart rate (HR), duration of P wave, QRS complex, PR and QT intervals, amplitudes of P, R and T waves, and analysis of QT corrected (QTc) according to Bazett's formula (QT/√RR). Variables were analyzed for normality with Kolmogorov-Smirnov test and paired t-test, considering P<0.05. Rhythm analysis revealed 91.7% of sinus rhythm and 8.3% of sinus arrhythmia in rest, with mean HR of 45.7±12.7 beats minute-1, and 100% of sinus tachycardia, with mean HR of 77.3±13.5 beats minute-1 after exercise (P<0.0001). In post-exercise, it was possible to observe decreases in P wave duration (P=0.0121), PR interval (P=0.0007) and QT interval (P<0.0001) and increase of QTc (P=0.0039) and R wave amplitude (P=0.0033). There were no significant differences for amplitude of P and T waves and QRS complex related to atrioventricular enlargement. Although QT interval decreased after exercise, there was an increase on QTc after exercise, indicating changes in ventricular repolarization. It was possible to conclude that the imposed exercise (marcha gait) led to electrocardiographic alterations without causing pathological arrhythmias.

scholarly journals Higher-Order Phase-Space Reconstruction for Detection of Epileptic Electroencephalogram

2021 ◽  
Vol 12 (2) ◽  
pp. 2533-2539
Author(s):  
Nazia Parveen, Et. al.
Keyword(s):  
Phase Space ◽  
Euclidean Distance ◽  
Higher Order ◽  
Phase Space Reconstruction ◽  
Intrinsic Mode Functions ◽  
Eeg Signals ◽  
Novel Technique ◽  
Reconstructed Phase Space ◽  
A New Technique

In this paper, the authors propose a new technique for the classification of seizures, non-seizures, and seizure-free EEG signals based on non-linear trajectories of EEG signals. The EEG signals are decomposed using the EMD technique to obtain intrinsic mode functions (IMFs). The phase space of these IMFs is then reconstructed using a novel technique of higher-order dimensions (3D, 4D, 5D, 6D, 7D, 8D, 9D, and 10D). The existing techniques of seizure detection have deployed 2D & 3D phase–space reconstruction only. The Euclidean distance of all higher-order PSR is used as a feature to classify seizures, non-seizures, and seizure-free EEG signals. The performance of the proposed method is analyzed on the Bonn University database in which 7D reconstructed phase space classification accuracy of 99.9% has been achieved both using Random Forest classifier and J48 decision tree.

Atrial fibrillation in the young: clinical characteristics, predictors of new onset and outcomes

EP Europace ◽  
2021 ◽  
Vol 23 (Supplement_3) ◽  
Author(s):  
A Segev ◽  
E Maor ◽  
M Goldenfeld ◽  
E Grossman ◽  
R Beinart ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
P Value ◽  
Bundle Branch Block ◽  
Total N ◽  
Funding Sources ◽  
Conduction Disorders ◽  
Tertiary Center ◽  
Pr Interval ◽  
New Onset

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Atrial fibrillation (AF) onset in the young (≤45 years) is uncommon and not well studied. Purpose Identifying the determinants of AF in this population in order to help direct timely diagnosis, appropriate follow up and management. Methods We retrospectively evaluated all patients aged ≤45, admitted to the internal and cardiology wards between January 2009 and December 2019 at a large tertiary center. Clinical, electrocardiographic and echocardiographic data were collected and compared among patients with and without AF at baseline. A subgroup of patients with no AF at baseline and a subsequent hospital visit were followed for development of new onset AF (NOAF). Results A total of 16,432 patients (55.5% male, 33 ±8.3 years old) were analyzed. At baseline, patients with AF (n = 366) tended to be older, more often male, and had a higher proportion of comorbidities and ECG conduction disorders, compared with the patients without AF (n = 16,066). Male sex, increased age, obesity, heart failure (HF) and the presence of left or right bundle branch block (LBBB and RBBB, respectively) were all strongly and independently associated with young-onset AF. A total of 10,691 patients were followed for a median of 41.5 (16.6-78.6) months, during which 85 patients developed NOAF (equivalent to 0.5%/year). Increased age, hypertension, HF, RBBB and LBBB were independent predictors of NOAF. CHARGE-AF score outperformed CHA2DS2-VASc score in NOAF prediction [AUC of ROC 0.75 (0.7-0.8) vs. 0.56 (0.48-0.65)]. Conclusions The annual risk of NOAF among young adults admitted to the hospital is noteworthy. NOAF may be predicted by clinical risk factors and the CHARGE-AF score. Characteristic No AF (N = 16066) AF (N = 366) Total (N = 16432) P value Age- yr. 33.06 ± 8.3 36.8 ± 7.3 33.1 ±8.3 &lt;0.0001 Male gender 8914 (55.5) 240 (65.6) 9154 (55.7) &lt;0.0001 BMI- kg/m2 25.5 ± 5.75 27.48 ± 6.36 25.2 ± 5.8 &lt;0.0001 HTN 2679 (16.7) 73 (19.9) 2752 (16.7) 0.098 CHF 124 (0.8) 13 (3.6) 137 (0.8) &lt;0.0001 PR interval &gt; 200ms 117 (1.3) 15 (9.1) 132 (1.5) &lt;0.0001 QRS interval &gt; 120ms 220 (2.4) 25 (8.4) 245 (2.6) &lt;0.001 LBBB 29 (0.2) 6 (1.6) 35 (0.2) &lt;0.0001 LVEF &lt; 40 323 (10.1) 35 (16.9) 358 (10.5) 0.002 CHA2DS2-VASc 0.75 ±0.75 0.73 ±0.84 0.74 ±0.76 0.647 CHARGE AF 6.3 ±1.1 6.8 ±0.9 6.32 ±1.06 &lt;0.001

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