ECG beat recognition using fuzzy hybrid neural network
Citations
1,449 citations
Cites background or methods from "ECG beat recognition using fuzzy hy..."
..., [7], [9], [10]) and should be avoided....
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...Classifiers methods employed include linear discriminants [7], back propagation neural networks [8]–[10], self-organizing maps with learning vector quantization [11], and self-organizing networks [12]....
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...Features include ECG morphology [8], [9], heartbeat interval features [8]–[11], frequency-based features [7], higher order cumulant features [10], Karhunen–Loeve expansion of ECG morphology [11], and hermite polynomials [12]....
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635 citations
Cites background or methods from "ECG beat recognition using fuzzy hy..."
...However, in [121,84,122,88], it was proposed a hybrid neuro-fuzzy network methods in order to minimize the problems of MLP, increasing its generalization and reducing its training time....
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...Other techniques have also been employed, such as linear predictive coding [87], high order accumulates [88,89], clustering [84,90,91], correlation dimension and largest Lyapunov exponent [92,93], Hermite transform [94], local fractal dimension [95]....
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...[88] S. Osowski, T.H. Linh, ECG beat recognition using fuzzy hybrid neural network, IEEE Trans....
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...[138] 16 HBF, SOM clustering Acc = 98% Dokur and Olmez [98] 10 Fourier, Wavelet + FSDP MLP, RCE, Acc = 96% Novel hybrid NN Osowski and Linh [88] 6 HOSC fuzzy NN Acc = 96% Tsipouras et al....
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586 citations
480 citations
Cites background or methods from "ECG beat recognition using fuzzy hy..."
...Y. Bazi is with the College of Engineering, Al Jouf University, Al Jouf 2014, Saudi Arabia, (e-mail: yakoub.bazi@ju.edu.sa)....
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...Note that, though we adopted the OAA strategy as a multiclass strategy, other strategies could also be considered, thanks to the general nature of the proposed PSO–SVM classification system....
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473 citations
Cites background from "ECG beat recognition using fuzzy hy..."
...classifier, the paper [6] has reported the mean error of 3....
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References
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"ECG beat recognition using fuzzy hy..." refers background or methods in this paper
...The matrix is defined as follows [9], [ 12 ]:...
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...The G‐K algorithm can be presented in the following way [ 12 ], [13]....
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...One of the most efficient fuzzy clustering algorithms, able to take into account different shapes of the clusters, is the Gustafson-Kessel (G‐K) algorithm, extending the c-means algorithm [10], [11] by using scaled metric norm for the distance [ 12 ], [13]...
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