TY - GEN
T1 - Bayesian ANN classifier for ECG arrhythmia diagnostic system: A comparison study
T2 - International Joint Conference on Neural Networks, IJCNN 2005
AU - Chambers, Desmond
AU - Madden, Michael
AU - Lyons, Gerard
PY - 2005/1/1
Y1 - 2005/1/1
N2 - This paper outlines a system for detection of cardiac arrhythmias within ECG signals, based on a Bayesian Artificial Neural Network (ANN) classifier. The Bayesian (or Probabilistic) ANN Classifier is built by the use of a logistic regression model and the back propagation algorithm based on a Bayesian framework. Its performance for this task is evaluated by comparison with other classifiers including Naive Bayes, Decision Trees, Logistic Regression, and RBF Networks. A paired t-test is employed in comparing classifiers to select the optimum model. The system is evaluated using noisy ECG data, to simulate a real-world environment It is hoped that the system can be further developed and fine-tuned for practical application.
AB - This paper outlines a system for detection of cardiac arrhythmias within ECG signals, based on a Bayesian Artificial Neural Network (ANN) classifier. The Bayesian (or Probabilistic) ANN Classifier is built by the use of a logistic regression model and the back propagation algorithm based on a Bayesian framework. Its performance for this task is evaluated by comparison with other classifiers including Naive Bayes, Decision Trees, Logistic Regression, and RBF Networks. A paired t-test is employed in comparing classifiers to select the optimum model. The system is evaluated using noisy ECG data, to simulate a real-world environment It is hoped that the system can be further developed and fine-tuned for practical application.
UR - http://www.scopus.com/inward/record.url?scp=33750123511&partnerID=8YFLogxK
M3 - Conference Publication
SN - 0780390482
SN - 9780780390485
T3 - 4
SP - 2383
EP - 2388
BT - Proceedings. 2005 IEEE International Joint Conference on Neural Networks,
Y2 - 31 July 2005 through 4 August 2005
ER -