Related references
Note: Only part of the references are listed.Detection of shockable ventricular arrhythmia using optimal orthogonal wavelet filters
Manish Sharma et al.
NEURAL COMPUTING & APPLICATIONS (2020)
A new approach for arrhythmia classification using deep coded features and LSTM networks
Ozal Yildirim et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2019)
Phase Space Reconstruction Based CVD Classifier Using Localized Features
Naresh Vemishetty et al.
SCIENTIFIC REPORTS (2019)
Detection of ventricular tachycardia and fibrillation using adaptive variational mode decomposition and boosted-CART classifier
Yang Xu et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2018)
Efficient classification of ventricular arrhythmias using feature selection and C4.5 classifier
Monalisa Mohanty et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2018)
Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network
U. Rajendra Acharya et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
A Real-Time QRS Detection Method Based on Phase Portraits and Box-Scoring Calculation
Zhongjie Hou et al.
IEEE SENSORS JOURNAL (2018)
Detection of Life Threatening Ventricular Arrhythmia Using Digital Taylor Fourier Transform
Rajesh K. Tripathy et al.
FRONTIERS IN PHYSIOLOGY (2018)
Improvement of automatic speech recognition systems via nonlinear dynamical features evaluated from the recurrence plot of speech signals
Shabnam Gholamdokht Firooz et al.
COMPUTERS & ELECTRICAL ENGINEERING (2017)
A novel algorithm for ventricular arrhythmia classification using a fuzzy logic approach
Nong Weixin
AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE (2016)
Statistical Methods for Cardiovascular Researchers
Lem Moye
CIRCULATION RESEARCH (2016)
Detection of Shockable Ventricular Arrhythmia using Variational Mode Decomposition
R. K. Tripathy et al.
JOURNAL OF MEDICAL SYSTEMS (2016)
Ventricular Tachycardias Characteristics and Management
Aksana Baldzizhar et al.
CRITICAL CARE NURSING CLINICS OF NORTH AMERICA (2016)
A statistical index for early diagnosis of ventricular arrhythmia from the trend analysis of ECG phase-portraits
Grazia Cappiello et al.
PHYSIOLOGICAL MEASUREMENT (2015)
Chaotic based reconstructed phase space features for detecting ventricular fibrillation
M. Roopaei et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2010)
The differential method of phase space matrix for AF/VF discrimination application
Chien-Sheng Liu et al.
MEDICAL ENGINEERING & PHYSICS (2010)
Detecting ventricular fibrillation by time-delay methods
Anton Amann et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2007)
Prediction error estimation: a comparison of resampling methods
AM Molinaro et al.
BIOINFORMATICS (2005)
Reliability of old and new ventricular fibrillation detection algorithms for automated external defibrillators
Anton Amann et al.
BIOMEDICAL ENGINEERING ONLINE (2005)
PhysioBank, PhysioToolkit, and PhysioNet - Components of a new research resource for complex physiologic signals
AL Goldberger et al.
CIRCULATION (2000)
Share Paper
