Fundamentals of neural networks: architectures, algorithms, and applications
Fundamentals of neural networks: architectures, algorithms, and applications
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Justification of a Neuron-Adaptive Activation Function
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3 - Volume 3
ECG beat classification using neuro-fuzzy network
Pattern Recognition Letters
Data Mining " An Adaptive Neural Network Model for Financial Analysis
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
Comparison of extrasystolic ECG signal classifiers using discrete wavelet transforms
Pattern Recognition Letters
Expert Systems with Applications: An International Journal
ECG beats classification using multiclass support vector machines with error correcting output codes
Digital Signal Processing
Usage of eigenvector methods in implementation of automated diagnostic systems for ECG beats
Digital Signal Processing
Integration of independent component analysis and neural networks for ECG beat classification
Expert Systems with Applications: An International Journal
Artificial wavelet neural network and its application in neuro-fuzzy models
Applied Soft Computing
Support vector machines for detection of electrocardiographic changes in partial epileptic patients
Engineering Applications of Artificial Intelligence
A fuzzy clustering neural network architecture for classification of ECG arrhythmias
Computers in Biology and Medicine
A new neural network with adaptive activation function for classification of ECG arrhythmias
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Artificial neural networks for automatic ECG analysis
IEEE Transactions on Signal Processing
An arrhythmia classification system based on the RR-interval signal
Artificial Intelligence in Medicine
Neuron-adaptive higher order neural-network models for automated financial data modeling
IEEE Transactions on Neural Networks
A multi-stage automatic arrhythmia recognition and classification system
Computers in Biology and Medicine
Feature extraction for ECG heartbeats using higher order statistics of WPD coefficients
Computer Methods and Programs in Biomedicine
An effective ECG arrhythmia classification algorithm
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
ECG arrhythmia classification based on optimum-path forest
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Real-time CHF detection from ECG signals using a novel discretization method
Computers in Biology and Medicine
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In this study, new neural network models with adaptive activation function (NNAAF) were implemented to classify ECG arrhythmias. Our NNAAF models included three types named as NNAAF-1, NNAAF-2 and NNAAf-3. Activation functions with adjustable free parameters were used in hidden neurons of these models to improve classical MLP network. In addition, these three NNAAF models were compared with the MLP model implemented in similar conditions. Ten different types of ECG arrhythmias were selected from MIT-BIH ECG Arrhythmias Database to train NNAAFs and MLP models. Moreover, all models tested by the ECG signals of 92 patients (40 males and 52 females, average age is 39.75+/-19.06). The average accuracy rate of all models in the training processing was found as 99.92%. The average accuracy rate of the all models in the test phases was obtained as 98.19.