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

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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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