Related references
Note: Only part of the references are listed.Recognition of ECG signals using wavelet based on atomic functions
Andres Hernandez-Matamoros et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2020)
Early Detection of Sudden Cardiac Death by Using Ensemble Empirical Mode Decomposition-Based Entropy and Classical Linear Features From Heart Rate Variability Signals
Manhong Shi et al.
FRONTIERS IN PHYSIOLOGY (2020)
Computer aided detection of breathing disorder from ballistocardiography signal using convolutional neural network
Dalibor Cimr et al.
INFORMATION SCIENCES (2020)
Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network
Rohan Panda et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
A novel approach to create synthetic biomedical signals using BiRNN
Andres Hernandez-Matamoros et al.
INFORMATION SCIENCES (2020)
Prediction of Sudden Cardiac Death in Implantable Cardioverter Defibrillators: A Review and Comparative Study of Heart Rate Variability Features
Ashkan Parsi et al.
IEEE REVIEWS IN BIOMEDICAL ENGINEERING (2020)
Machine Learning Approach to Predict Ventricular Fibrillation Based on QRS Complex Shape
Getu Tadele Taye et al.
FRONTIERS IN PHYSIOLOGY (2019)
Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation
Marco V. Perez et al.
NEW ENGLAND JOURNAL OF MEDICINE (2019)
Methods for Improved Discrimination Between Ventricular Fibrillation and Tachycardia
Yaqub Alwan et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2018)
Efficient classification of ventricular arrhythmias using feature selection and C4.5 classifier
Monalisa Mohanty et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2018)
`An enhanced variable selection and Isolation Forest based methodology for anomaly detection with OES data
Luca Puggini et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2018)
Detection of Life Threatening Ventricular Arrhythmia Using Digital Taylor Fourier Transform
Rajesh K. Tripathy et al.
FRONTIERS IN PHYSIOLOGY (2018)
Refined composite multivariate generalized multiscale fuzzy entropy: A tool for complexity analysis of multichannel signals
Hamed Azami et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2017)
A Wearable Thermometry for Core Body Temperature Measurement and Its Experimental Verification
Ming Huang et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)
Quantitative analysis of ventricular ectopic beats in short-term RR interval recordings to predict imminent ventricular tachyarrhythmia
Marisol Martinez-Alanis et al.
INTERNATIONAL JOURNAL OF CARDIOLOGY (2016)
Detection of Shockable Ventricular Arrhythmia using Variational Mode Decomposition
R. K. Tripathy et al.
JOURNAL OF MEDICAL SYSTEMS (2016)
Prediction of Ventricular Tachycardia One Hour before Occurrence Using Artificial Neural Networks
Hyojeong Lee et al.
SCIENTIFIC REPORTS (2016)
Variations of heart rate variability parameters prior to the onset of ventricular tachyarrhythmia and sinus tachycardia in ICD patients. Results from the heart rate variability analysis with automated ICDs (HAWAI) registry
C. G. Wollmann et al.
PHYSIOLOGICAL MEASUREMENT (2015)
Cardiac BIN1 folds T-tubule membrane, controlling ion flux and limiting arrhythmia
TingTing Hong et al.
NATURE MEDICINE (2014)
Analysis of complex time series using refined composite multiscale entropy
Shuen-De Wu et al.
PHYSICS LETTERS A (2014)
Considerations in the assessment of heart rate variability in biobehavioral research
Daniel S. Quintana et al.
FRONTIERS IN PSYCHOLOGY (2014)
Prediction of spontaneous ventricular tachyarrhythmia by an artificial neural network using parameters gleaned from short-term heart rate variability
Segyeong Joo et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Multivariate Multiscale Entropy Analysis
Mosabber Uddin Ahmed et al.
IEEE SIGNAL PROCESSING LETTERS (2012)
Long-Term Tracking of a Patient's Health Condition Based on Pulse Rate Dynamics During Sleep
Ying Chen et al.
ANNALS OF BIOMEDICAL ENGINEERING (2011)
Physics of Cardiac Arrhythmogenesis
Alain Karma
Annual Review of Condensed Matter Physics (2011)
Estimation and evaluation of sub-bands on LF and HF base-bands in HRV for Ventricular Tachyarrhythmia patients
Suleyman Bilgin et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
American heart Association/American college of cardiology Foundation/Heart rhythm society scientific statement on noninvasive risk stratification techniques for identifying patients at risk for sudden cardiac death - A scientific statement from the American Heart Association council on clinical cardiology committee on electrocardiography and arrhythmias and council on epidemiology and prevention
Jeffrey J. Goldberger et al.
CIRCULATION (2008)
Ventricular arrhythmias and changes in heart rate preceding ventricular tachycardia in patients with an implantable cardioverter defibrillator
Claudia Lerma et al.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2008)
Predicting imminent episodes of ventricular tachyarrhythmia using heart rate
Tran Thong et al.
PACE-PACING AND CLINICAL ELECTROPHYSIOLOGY (2007)
Multiscale entropy analysis of biological signals
M Costa et al.
PHYSICAL REVIEW E (2005)
Multiscale entropy analysis of complex physiologic time series
M Costa et al.
PHYSICAL REVIEW LETTERS (2002)
Study of features based on nonlinear dynamical modeling in ECG arrhythmia detection and classification
MI Owis et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2002)
Nonlinear-dynamical arrhythmia control in humans
DJ Christini et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2001)
The impact of the MIT-BIH arrhythmia database
GA Moody et al.
IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE (2001)
Share Paper
