The Experts below are selected from a list of 609 Experts worldwide ranked by ideXlab platform
Richard B Reilly - One of the best experts on this subject based on the ideXlab platform.
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Automatic Classification of ECG Beats Using Waveform Shape and Heart Beat Interval Features
2008Co-Authors: P De Chazal, Richard B ReillyAbstract:This paper presents the classification performance of an automatic classifier of the electrocardiogram (ECG) for the detection of normal, premature ventricular contraction and Fusion Beat types. Both linear discriminants and feed forward neural networks were considered for the classifier model
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automatic classification of ecg Beats using waveform shape and heart Beat interval features
International Conference on Acoustics Speech and Signal Processing, 2003Co-Authors: P De Chazal, Richard B ReillyAbstract:The paper presents the classification performance of an automatic classifier of the electrocardiogram (ECG) for the detection of normal, premature ventricular contraction and Fusion Beat types. Both linear discriminants and feedforward neural networks were considered for the classifier model. Features based on the ECG waveform shape and heart Beat intervals were used as inputs to the classifiers. Data was obtained from the MIT-BIH arrhythmia database. Cross-validation was used to measure the classifier performance. A classification accuracy of 89% was achieved which is a significant improvement on previously published results.
P De Chazal - One of the best experts on this subject based on the ideXlab platform.
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Automatic Classification of ECG Beats Using Waveform Shape and Heart Beat Interval Features
2008Co-Authors: P De Chazal, Richard B ReillyAbstract:This paper presents the classification performance of an automatic classifier of the electrocardiogram (ECG) for the detection of normal, premature ventricular contraction and Fusion Beat types. Both linear discriminants and feed forward neural networks were considered for the classifier model
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automatic classification of ecg Beats using waveform shape and heart Beat interval features
International Conference on Acoustics Speech and Signal Processing, 2003Co-Authors: P De Chazal, Richard B ReillyAbstract:The paper presents the classification performance of an automatic classifier of the electrocardiogram (ECG) for the detection of normal, premature ventricular contraction and Fusion Beat types. Both linear discriminants and feedforward neural networks were considered for the classifier model. Features based on the ECG waveform shape and heart Beat intervals were used as inputs to the classifiers. Data was obtained from the MIT-BIH arrhythmia database. Cross-validation was used to measure the classifier performance. A classification accuracy of 89% was achieved which is a significant improvement on previously published results.
Paolo Alboni - One of the best experts on this subject based on the ideXlab platform.
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Fusion Beat in patients with heart failure treated with left ventricular pacing may ecg morphology relate to mechanical synchrony a pilot study
Cardiovascular Ultrasound, 2008Co-Authors: Lorella Gianfranchi, Biagio Sassone, R Verlato, Giorgio Corbucci, Katia Bettiol, Paolo AlboniAbstract:Background Electrical Fusion between left ventricular pacing and spontaneous right ventricular activation is considered the key to resynchronisation in sinus rhythm patients treated with single-site left ventricular pacing.
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Fusion Beat in patients with heart failure treated with left ventricular pacing may ecg morphology relate to mechanical synchrony a pilot study
Cardiovascular Ultrasound, 2008Co-Authors: Lorella Gianfranchi, Biagio Sassone, R Verlato, Giorgio Corbucci, Katia Bettiol, Paolo AlboniAbstract:Electrical Fusion between left ventricular pacing and spontaneous right ventricular activation is considered the key to resynchronisation in sinus rhythm patients treated with single-site left ventricular pacing. Use of QRS morphology to optimize device programming in patients with heart failure (HF), sinus rhythm (SR), left bundle branch block (LBBB), treated with single-site left ventricular pacing. We defined the "Fusion band" (FB) as the range of AV intervals within which surface ECG showed an intermediate morphology between the native LBBB and the fully paced right bundle branch block patterns. Twenty-four patients were enrolled. Echo-derived parameters were collected in the FB and compared with the basal LBBB condition. Velocity time integral and ejection time did not improve significantly. Diastolic filling time, ejection fraction and myocardial performance index showed a statistically significant improvement in the FB. Interventricular delay and mitral regurgitation progressively and significantly decreased as AV delay shortened in the FB. The tissue Doppler asynchrony index (Ts-SD-12-ejection) showed a non significant decreasing trend in the FB. The indications provided by the tested parameters were mostly concordant in that part of the FB corresponding to the shortest AV intervals. Using ECG criteria based on the FB may constitute an attractive option for a safe, simple and rapid optimization of resynchronization therapy in patients with HF, SR and LBBB.
Yanowitz, Frank G. - One of the best experts on this subject based on the ideXlab platform.
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Pacemaker Fusion Beat - marquette
1997Co-Authors: Yanowitz, Frank G.Abstract:Pacemaker Fusion Beat - marquett
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Ventricular Fusion Beat - marquette
1997Co-Authors: Yanowitz, Frank G.Abstract:Ventricular Fusion Beat - marquett
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Two Wrongs Sometimes Make a Right
1997Co-Authors: Yanowitz, Frank G.Abstract:The question mark is over a normal looking QRS that occurs during 2:1 AV block with RBBB. Following this QRS a ventricular escape rhythm takes over. The normal looking Beat is actually a Fusion Beat resulting from simultaneous activation of the ventricles; the sinus impulse enters the left ventricle at the same time a right ventricular escape rhythm begins
Lorella Gianfranchi - One of the best experts on this subject based on the ideXlab platform.
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Fusion Beat in patients with heart failure treated with left ventricular pacing may ecg morphology relate to mechanical synchrony a pilot study
Cardiovascular Ultrasound, 2008Co-Authors: Lorella Gianfranchi, Biagio Sassone, R Verlato, Giorgio Corbucci, Katia Bettiol, Paolo AlboniAbstract:Background Electrical Fusion between left ventricular pacing and spontaneous right ventricular activation is considered the key to resynchronisation in sinus rhythm patients treated with single-site left ventricular pacing.
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Fusion Beat in patients with heart failure treated with left ventricular pacing may ecg morphology relate to mechanical synchrony a pilot study
Cardiovascular Ultrasound, 2008Co-Authors: Lorella Gianfranchi, Biagio Sassone, R Verlato, Giorgio Corbucci, Katia Bettiol, Paolo AlboniAbstract:Electrical Fusion between left ventricular pacing and spontaneous right ventricular activation is considered the key to resynchronisation in sinus rhythm patients treated with single-site left ventricular pacing. Use of QRS morphology to optimize device programming in patients with heart failure (HF), sinus rhythm (SR), left bundle branch block (LBBB), treated with single-site left ventricular pacing. We defined the "Fusion band" (FB) as the range of AV intervals within which surface ECG showed an intermediate morphology between the native LBBB and the fully paced right bundle branch block patterns. Twenty-four patients were enrolled. Echo-derived parameters were collected in the FB and compared with the basal LBBB condition. Velocity time integral and ejection time did not improve significantly. Diastolic filling time, ejection fraction and myocardial performance index showed a statistically significant improvement in the FB. Interventricular delay and mitral regurgitation progressively and significantly decreased as AV delay shortened in the FB. The tissue Doppler asynchrony index (Ts-SD-12-ejection) showed a non significant decreasing trend in the FB. The indications provided by the tested parameters were mostly concordant in that part of the FB corresponding to the shortest AV intervals. Using ECG criteria based on the FB may constitute an attractive option for a safe, simple and rapid optimization of resynchronization therapy in patients with HF, SR and LBBB.
