Detection of ventricular fibrillation using empirical mode decomposition and Bayes decision theory (original) (raw)
Exploiting correlation of ECG with certain EMD functions for discrimination of ventricular fibrillation
Kamrul Hasan
Computers in Biology and Medicine, 2011
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Characterizing Atrial Fibrillation in Empirical Mode Decomposition Domain
Uday Maji
Journal of Medical and Biological Engineering, 2016
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Automatic Motion and Noise Artifact Detection in Holter ECG Data Using Empirical Mode Decomposition and Statistical Approaches
Jinseok Lee
IEEE Transactions on Biomedical Engineering, 2000
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ECG Analysis Based On Window Filtering Approach Using Empirical Mode Decomposition Technique
rovin tiwari
IOSR Journal of Electronics and Communication Engineering, 2014
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Abnormal ECG Classification using Empirical Mode Decomposition and Entropy
Suci Aulia
Jurnal Rekayasa Elektrika
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Ensemble empirical mode decomposition based feature enhancement of cardio signals
Arūnas Lukoševičius
Medical Engineering & Physics, 2013
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ANALYSIS ELECTROCARDIOGRAM SIGNAL USING ENSEMBLE EMPIRICAL MODE DECOMPOSITION AND TIME-FREQUENCY TECHNIQUES
iaeme iaeme
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ELECTROCARDIOGRAM ENHANCEMENT AND QRS EXTRACTION BASED ON EMPIRICAL MODE DECOMPOSITION
IJMRPS Journal
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Deriving the respiratory sinus arrhythmia from the heartbeat time series using empirical mode decomposition
Enrica Laura Santarcangelo
2004
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Fully Adaptive Denoising of ECG Signals Using Empirical Mode Decomposition with the Modified Indirect Subtraction and the Adaptive Window Techniques
Nasser Lotfivand
Circuits Systems and Signal Processing, 2020
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Classification of Normal and Abnormal Heart Sounds Using Empirical Mode Decomposition and First Order Statistic
said ziani
Journal of Electronics, Electromedical Engineering, and Medical Informatics, 2023
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Nonlinear and statistical analysis of ECG signals from Arrhythmia affected cardiac system through the EMD process
Pratyay sengupta
arXiv: Signal Processing, 2020
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Characterization of cardiac arrhythmias by variational mode decomposition technique
Uday Maji
Biocybernetics and Biomedical Engineering, 2017
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Detection and identification of first and second heart sounds using empirical mode decomposition
Hamid Behnam
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, 2013
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Cardiopulmonary Resuscitation Pattern Evaluation Based on Ensemble Empirical Mode Decomposition Filter via Nonlinear Approaches
Maysam Abbod
BioMed research international, 2016
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Sequential algorithm for life threatening cardiac pathologies detection based on mean signal strength and EMD functions
Kamrul Hasan
BioMedical Engineering OnLine, 2010
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ECG arrhythmia classification using artificial intelligence and nonlinear and nonstationary decomposition
Alam Noor
Springer, 2019
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Cardiopulmonary resuscitation Ppattern evaluation based on ensemble empirical mode decomposition filter via non-linear approaches
Maysam Abbod
2016
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A new ventricular fibrillation detection algorithm for automated external defibrillators
Karl Unterkofler
Computers in Cardiology, 2005, 2005
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Automatic detection of ECG wave boundaries using empirical mode decomposition
kamrul Hasan
2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
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Segmentation of Pathological Heart Sound Signal Using Empirical Mode Decomposition
daoud boutana
International Journal of Computer and Electrical Engineering, 2013
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Beat detection algorithm for ECG and arterial blood pressure waveforms using empirical mode decomposition: a unified approach
Omkar Singh
International Journal of Signal and Imaging Systems Engineering, 2015
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Ventricular Fibrillation Detection and Optimal Parameter Set Selection by Means of Discriminant Analysis
Vessela Krasteva
2004
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Application of Empirical Mode Decomposition in prediction of acute hypotension episodes
amin janghorbani
2010
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Empirical Mode Decomposition and Principal Component Analysis implementation in processing non-invasive cardiovascular signals
Pedro Girão
Measurement, 2012
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A New Method of Identifying Characteristic Points in the Impedance Cardiography Signal Based on Empirical Mode Decomposition
Aleksander Sobotnicki
Sensors
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Arrhythmia Classification Using Radial Basis Function Network With Selective Features From Empirical Mode Decomposition
saumendra mohapatra
International Journal of Cognitive Informatics and Natural Intelligence, 2021
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