Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
A fast fixed-point algorithm for independent component analysis
Neural Computation
Advanced Methods in Neural Computing
Advanced Methods in Neural Computing
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
On the Learnability and Design of Output Codes for Multiclass Problems
COLT '00 Proceedings of the Thirteenth Annual Conference on Computational Learning Theory
ECG beat classification using neuro-fuzzy network
Pattern Recognition Letters
Equivariant adaptive source separation
IEEE Transactions on Signal Processing
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
A sequential feature extraction approach for naïve bayes classification of microarray data
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Classification of the electrocardiogram signals using supervised classifiers and efficient features
Computer Methods and Programs in Biomedicine
Partition-conditional ICA for Bayesian classification of microarray data
Expert Systems with Applications: An International Journal
Remote physiological monitoring of first responders with intermittent network connectivity
WH '10 Wireless Health 2010
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An effective ECG arrhythmia classification algorithm
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Application of principal component analysis to ECG signals for automated diagnosis of cardiac health
Expert Systems with Applications: An International Journal
Sparse Representation-Based Heartbeat Classification Using Independent Component Analysis
Journal of Medical Systems
ECG arrhythmia classification based on optimum-path forest
Expert Systems with Applications: An International Journal
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In this paper, we propose a novel independent components (ICs) arrangement strategy to cooperate with the independent component analysis (ICA) method used for ECG beat classification. The ICs calculated with a regular ICA algorithm are re-arranged according to the L"2 norms of the rows of the de-mixing matrix. The validity of this ICs arrangement strategy is discussed mathematically and testified experimentally. Only when the ICs are arranged in an appropriate order, we are able to select the first couple of components for the calculation of the most significant subset of bases to discriminate different types of ECG beats. The effectiveness and efficiency of the proposed method and three other ICs arrangement strategies are studied. Two kinds of classifiers, including probabilistic neural network and support vector machines, are used to evaluate the proposed method. ECG samples attributing to eight different ECG beat types were extracted from the MIT-BIH arrhythmia database for the study. The experiment results demonstrate that the proposed ICs arrangement strategy outperforms the other strategies in reducing the number of features required for the classifiers. Among the many experimental setups, the scheme with the SVM classifier in conjugate with the log(cosh(.)) contrast function and the proposed ICs arrangement strategy requires only 17 ICs to achieve more than 98.7% classification accuracy and is determined to be most efficient. When comparing to the other methods in the literature, the proposed scheme outperforms the other methods in terms of effectiveness and efficiency. The impressive result validates the strategy in the selection of significant ICs subset and demonstrates the proposed scheme an effective and efficient approach in computer-aided diagnosis of heart diseases based on ECG signals.