Výsledky vyhledávání - "Mohamad Teshnelab"

Applying MLP as a predictor and ANFIS as a classifier in Ischemia detection via ECG

Autor: Ali Emam, Hoda Tonekabonipour, Mohamad Teshnelab

Publikováno v: SMC

In this paper, a new algorithm is presented in using Multi Layer Perceptron (MLP) to predict Ischemia diseases by Electrocardiogram (ECG) signals. The process would be very difficult due to non-stationary and nonlinear characteristics of ECG signals.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b6b5a195cf2a9af8d76d474eb6c4925e
https://doi.org/10.1109/icsmc.2011.6084121

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Ischemia prediction via ECG using MLP and RBF predictors with ANFIS classifiers

Autor: Mehdi Aliyari Shoorehdeli, Ali Emam, Mohamad Teshnelab, Hoda Tonekabonipour

Publikováno v: ICNC

In this paper, a new algorithm is presented in using Multi Layer Perceptron (MLP) and Radial Base Function (RBF) to predict Ischemia diseases by Electrocardiogram (ECG) signals. The process would be very difficult due to non-stationary and nonlinear

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6e02ed79b8287ce4b6606d2b5cdc8888
https://doi.org/10.1109/icnc.2011.6022179

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Comparison of neuro-fuzzy approaches with artificial neural networks for the detection of Ischemia in ECG signals

Autor: Hoda Tonekabonipour, Mehdi Aliyari Shoorehdeli, Mohamad Teshnelab, Ali Emam

Publikováno v: SMC

This paper compares different classification methods of ECG signals including their accuracies. First of all , Preprocessing for ECG signal is necessary in order to detect QRS complex. Then, with the intention of extract influential features in Ische

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6a520d0b705784e19c1d6c62c2c5b567
https://doi.org/10.1109/icsmc.2010.5642196

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Ischemia prediction using ANFIS

Autor: M. Aliyari Shoorehdeli, Mohamad Teshnelab, Hoda Tonekabonipour, Ali Emam

Publikováno v: SMC

In this paper, a novel algorithm to make use of Adaptive Neuro Fuzzy Interference System(ANFIS) in order to predict Ischemia diseases in Electrocardiogram(ECG) signals is presented. Pre-processing for ECG signal has been performed in order to detect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::be6b4f28b3328edbeeef464137f90c18
https://doi.org/10.1109/icsmc.2010.5642197

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Fuzzy Based Problem-Solution Data Structureas A Data Oriented Model For Abs Controlling

Autor: Ahmad Habibizad Navin, Mehdi Naghian Fesharaki, Mohamad Teshnelab, Ehsan Shahamatnia

The anti-lock braking systems installed on vehicles for safe and effective braking, are high-order nonlinear and timevariant. Using fuzzy logic controllers increase efficiency of such systems, but impose a high computational complexity as well. The m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::815192918417c5e38559948b256b1c35

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