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An open access database for the evaluation of heart sound algorithms

Physiological measurement, 2016-11, Vol.37 (12), p.2181-2213

2016

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The art of selecting the ECG input in neural networks to classify heart diseases: a dual focus on maximizing information and reducing redundancy

Frontiers in physiology, 2024-10, Vol.15

2024

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Principal Component Analysis in ECG Signal Processing

EURASIP journal on advances in signal processing, 2007-01, Vol.2007 (1), Article 074580

2007

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Refined Multiscale Fuzzy Entropy to Analyse Post-Exercise Cardiovascular Response in Older Adults With Orthostatic Intolerance

Entropy (Basel, Switzerland), 2018-11, Vol.20 (11), p.860

2018

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Vector Field Heterogeneity for the Assessment of Locally Disorganised Cardiac Electrical Propagation Wavefronts From High-Density Multielectrodes

IEEE open journal of engineering in medicine and biology, 2024-01, Vol.5, p.32-44

2024

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The Effectiveness of Alert Sounds for Electric Vehicles Based on Pedestrians' Perception

IEEE transactions on intelligent transportation systems, 2022-04, Vol.23 (4), p.2956-2965

2022

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Pulmonary Vein Activity Organization to Determine Atrial Fibrillation Recurrence: Preliminary Data from a Pilot Study

Mathematics (Basel), 2020-10, Vol.8 (10), p.1813

2020

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Granger Causality and Jensen–Shannon Divergence to Determine Dominant Atrial Area in Atrial Fibrillation

Entropy (Basel, Switzerland), 2018-01, Vol.20 (1), p.57

2018

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From 12 to 1 ECG lead: multiple cardiac condition detection mixing a hybrid machine learning approach with a one-versus-rest classification strategy

Physiological measurement, 2022-06, Vol.43 (6), p.64003

2022

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Anaesthetics effects on cardiovascular response in atrial fibrillation patients with different ages

International journal of psychophysiology, 2016-10, Vol.108, p.123-123

2016

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Estimation of PQ distance dispersion for atrial fibrillation detection

Computer methods and programs in biomedicine, 2021-09, Vol.208, p.106167-106167, Article 106167

2021

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On the Preprocessing of Atrial Electrograms in Atrial Fibrillation: Understanding Botteron's Approach

Pacing and clinical electrophysiology, 2014-02, Vol.37 (2), p.133-143

2014

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Novel synchronization method for vectorcardiogram reconstruction from ECG printouts: A comprehensive validation approach

Biomedical signal processing and control, 2024-05, Vol.91, p.106027, Article 106027

2024

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Performance assessment of electrode configurations for the estimation of omnipolar electrograms from high density arrays

Computers in biology and medicine, 2023-03, Vol.154, p.106604-106604, Article 106604

2023

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Atrial activity extraction for atrial fibrillation analysis using blind source separation

IEEE transactions on biomedical engineering, 2004-07, Vol.51 (7), p.1176-1186

2004

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Improving the diagnosis of bundle branch block by analysis of body surface potential maps

Journal of electrocardiology, 2009-11, Vol.42 (6), p.651-659

2009

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Evaluation and assessment of clique arrangements for the estimation of omnipolar electrograms in high density electrode arrays: an experimental animal model study

Physical and engineering sciences in medicine, 2023-09, Vol.46 (3), p.1193-1204

2023

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Clustering and machine learning framework for medical time series classification

Biocybernetics and biomedical engineering, 2024-07, Vol.44 (3), p.521-533

2024

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Classification model based on strain measurements to identify patients with arrhythmogenic cardiomyopathy with left ventricular involvement

Computer methods and programs in biomedicine, 2020-05, Vol.188, p.105296-105296, Article 105296

2020

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Non-invasive characterisation of macroreentrant atrial tachycardia types from a vectorcardiographic approach with the slow conduction region as a cornerstone

Computer methods and programs in biomedicine, 2021-03, Vol.200, p.105932-105932, Article 105932

2021

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Spatiotemporal blind source separation approach to atrial activity estimation in atrial tachyarrhythmias

IEEE transactions on biomedical engineering, 2005-02, Vol.52 (2), p.258-267

2005

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Left ventricular myocardial dysfunction in arrhythmogenic cardiomyopathy with left ventricular involvement: A door to improving diagnosis

International journal of cardiology, 2019-01, Vol.274, p.237-244

2019

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Evaluation of lead selection methods for optimal reconstruction of body surface potentials

Journal of electrocardiology, 2008, Vol.41 (1), p.26-34

2008

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Automated Atrial Fibrillation Detection by ECG Signal Processing: A Review

Critical reviews in biomedical engineering, 2021, Vol.49 (3), p.31-50

2021

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Principal Component Analysis in ECG Signal Processing

EURASIP journal on advances in signal processing, 2007-02, Vol.2007 (1), p.074580-074580

2007

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An open access database for the evaluation of heart sound algorithms

The art of selecting the ECG input in neural networks to classify heart diseases: a dual focus on maximizing information and reducing redundancy

Principal Component Analysis in ECG Signal Processing

Refined Multiscale Fuzzy Entropy to Analyse Post-Exercise Cardiovascular Response in Older Adults With Orthostatic Intolerance

Vector Field Heterogeneity for the Assessment of Locally Disorganised Cardiac Electrical Propagation Wavefronts From High-Density Multielectrodes

The Effectiveness of Alert Sounds for Electric Vehicles Based on Pedestrians' Perception

Pulmonary Vein Activity Organization to Determine Atrial Fibrillation Recurrence: Preliminary Data from a Pilot Study

Granger Causality and Jensen–Shannon Divergence to Determine Dominant Atrial Area in Atrial Fibrillation

From 12 to 1 ECG lead: multiple cardiac condition detection mixing a hybrid machine learning approach with a one-versus-rest classification strategy

Anaesthetics effects on cardiovascular response in atrial fibrillation patients with different ages

Estimation of PQ distance dispersion for atrial fibrillation detection

On the Preprocessing of Atrial Electrograms in Atrial Fibrillation: Understanding Botteron's Approach

Novel synchronization method for vectorcardiogram reconstruction from ECG printouts: A comprehensive validation approach

Performance assessment of electrode configurations for the estimation of omnipolar electrograms from high density arrays

Atrial activity extraction for atrial fibrillation analysis using blind source separation

Improving the diagnosis of bundle branch block by analysis of body surface potential maps

Evaluation and assessment of clique arrangements for the estimation of omnipolar electrograms in high density electrode arrays: an experimental animal model study

Clustering and machine learning framework for medical time series classification

Classification model based on strain measurements to identify patients with arrhythmogenic cardiomyopathy with left ventricular involvement

Non-invasive characterisation of macroreentrant atrial tachycardia types from a vectorcardiographic approach with the slow conduction region as a cornerstone

Spatiotemporal blind source separation approach to atrial activity estimation in atrial tachyarrhythmias

Left ventricular myocardial dysfunction in arrhythmogenic cardiomyopathy with left ventricular involvement: A door to improving diagnosis

Evaluation of lead selection methods for optimal reconstruction of body surface potentials

Automated Atrial Fibrillation Detection by ECG Signal Processing: A Review

Principal Component Analysis in ECG Signal Processing

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