Related references
Note: Only part of the references are listed.Electrocardiogram classification of lead convolutional neural network based on fuzzy algorithm
Xinfeng Yang et al.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2020)
ECG arrhythmia classification using modified visual geometry group network (mVGGNet)
Manisha Jangra et al.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2020)
A novel methodology to explain and evaluate data-driven building energy performance models based on interpretable machine learning
Cheng Fan et al.
APPLIED ENERGY (2019)
Automatic detection of arrhythmia from imbalanced ECG database using CNN model with SMOTE
Saroj Kumar Pandey et al.
AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE (2019)
Towards Real-Time Heartbeat Classification: Evaluation of Nonlinear Morphological Features and Voting Method
Rajesh N. V. P. S. Kandala et al.
SENSORS (2019)
ECG beat classification using PCA, LDA, ICA and Discrete Wavelet Transform
Roshan Joy Martis et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2013)
A new ECG beat clustering method based on kernelized fuzzy c-means and hybrid ant colony optimization for continuous domains
Berat Dogan et al.
APPLIED SOFT COMPUTING (2012)
Feature extraction for ECG heartbeats using higher order statistics of WPD coefficients
Yakup Kutlu et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2012)
Hybrid intelligent system for cardiac arrhythmia classification with Fuzzy K-Nearest Neighbors and neural networks combined with a fuzzy system
Oscar Castillo et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Clustering MIT-BIH arrhythmias with Ant Colony Optimization using time domain and PCA compressed wavelet coefficients
Mehmet Korurek et al.
DIGITAL SIGNAL PROCESSING (2010)
A qualitative comparison of Artificial Neural Networks and Support Vector Machines in ECG arrhythmias classification
Majid Moavenian et al.
EXPERT SYSTEMS WITH APPLICATIONS (2010)
A new arrhythmia clustering technique based on Ant Colony Optimization
Mehmet Koruerek et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2008)
A support vector machine classifier algorithm based on a perturbation method and its application to ECG beat recognition systems
N Acir
EXPERT SYSTEMS WITH APPLICATIONS (2006)
Understanding cardiac arrhythmias
S Chakrabarti et al.
ARCHIVES OF DISEASE IN CHILDHOOD (2005)
Benchmarking attribute selection techniques for discrete class data mining
MA Hall et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2003)
Machine learning for medical diagnosis: history, state of the art and perspective
I Kononenko
ARTIFICIAL INTELLIGENCE IN MEDICINE (2001)
PhysioBank, PhysioToolkit, and PhysioNet - Components of a new research resource for complex physiologic signals
AL Goldberger et al.
CIRCULATION (2000)
Share Paper
