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A qualitative comparison of Artificial Neural Networks and Support Vector Machines in ECG arrhythmias classification
Year: 2010
Abstract:
In this paper, a novel use of Kernel-Adatron learning algorithm to aid SVM (support vector machine) for ECG arrhythmias classification is proposed. The proposed pattern classifier is compared with MLP (multi-layered perceptron) using Backpropagation...
A comparative study of DWT, CWT and DCT transformations in ECG arrhythmias classification
Year: 2010
Abstract:
to improve the capability of two pattern classifiers in ECG arrhythmias classification. The classifiers under examination are MLP (Multi-Layered Perceptron, a conventional neural network) and SVM (Support Vector Machine). The training or learning algorithms...
A New Power Efficient Wireless Non-Uniform Adaptive-Sampling ECG Recording System
Year: 2013
Abstract:
sampling technique of ECG signals....
Contact-based adaptive granularity for scalable video transmission in opportunistic networks
Publisher: IEEE
Year: 2014