Proceedings ArticleDOI
On-line heart beat recognition using hermite polynomials and neuro-fuzzy network
T.H. Linh,Stanislaw Osowski,M. Stodolski +2 more
- Vol. 1, pp 165-170
TLDR
The paper presents the neuro-fuzzy approach to the recognition and classification of heart rhythms on the basis of ECG waveforms that fulfills the Hermite characterization of the QRS complexes.Abstract:
The paper presents the neuro-fuzzy approach to the recognition and classification of heart rhythms on the basis of ECG waveforms. The important part in recognition fulfills the Hermite characterization of the QRS complexes. The Hermite coefficients serve as the features of the process. These features are applied to the fuzzy neural network for the recognition. The results of numerical experiments have confirmed the very good performance of such a solution.read more
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References
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Proceedings ArticleDOI
Fuzzy clustering with a fuzzy covariance matrix
TL;DR: Experimental results are presented which indicate that more accurate clustering may be obtained by using fuzzy covariances, a natural approach to fuzzy clustering.
Journal ArticleDOI
A patient-adaptable ECG beat classifier using a mixture of experts approach
TL;DR: A "mixture-of-experts" (MOE) approach to develop customized electrocardiogram (EGG) beat classifier in an effort to further improve the performance of ECG processing and to offer individualized health care.
Journal ArticleDOI
Clustering ECG complexes using Hermite functions and self-organizing maps
TL;DR: An integrated method for clustering of QRS complexes is presented which includes basis function representation and self-organizing neural networks (NN's) and outperforms both a published supervised learning method as well as a conventional template cross-correlation clustering method.
Journal ArticleDOI
ECG beat recognition using fuzzy hybrid neural network
Stanislaw Osowski,T.H. Linh +1 more
TL;DR: The results of experiments of recognition of different types of beats on the basis of the ECG waveforms have confirmed good efficiency of the proposed solution and show that the method may find practical application in the recognition and classification of different type heart beats.