Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Daoud Boutana"'
Autor:
Daoud Boutana, Fatiha Bouaziz
Publikováno v:
Research on Biomedical Engineering. 35:143-155
The electrocardiograms analysis helps cardiologists to diagnosis different cardiac disorders. In this paper, we have proposed a new training algorithm of a multilayer perceptron (MLP) neural network to improve the classification task of arrhythmias.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b99b6237d6a80b9ad2cba930b7d9ff2a
https://doi.org/10.1007/s42600-019-00016-z
https://doi.org/10.1007/s42600-019-00016-z
Publikováno v:
Advanced Science, Engineering and Medicine
Advanced Science, Engineering and Medicine, 2020, 12 (2), pp.215-224. ⟨10.1166/asem.2020.2490⟩
Advanced Science, Engineering and Medicine, American Scientific Publishers, 2020, 12 (2), pp.215-224. ⟨10.1166/asem.2020.2490⟩
Advanced Science, Engineering and Medicine, 2020, 12 (2), pp.215-224. ⟨10.1166/asem.2020.2490⟩
Advanced Science, Engineering and Medicine, American Scientific Publishers, 2020, 12 (2), pp.215-224. ⟨10.1166/asem.2020.2490⟩
International audience; We address with this paper some real-life healthy and epileptic EEG signals classification. Our proposed method is based on the use of the discrete wavelet transform (DWT) and Support Vector Machine (SVM). For each EEG signal,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6508eb5e239889a8249b6900f60cb878
https://hal.science/hal-03463262
https://hal.science/hal-03463262
Publikováno v:
Advanced Science, Engineering and Medicine. 10:857-865
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08f7067b356ef07f3719f4b2597e9158
https://doi.org/10.1166/asem.2018.2259
https://doi.org/10.1166/asem.2018.2259
Publikováno v:
Journal of Mechanics in Medicine & Biology. Sep2017, Vol. 17 Issue 6, p-1. 20p.
Publikováno v:
2018 International Conference on Applied Smart Systems (ICASS).
The automatic electrocardiogram (ECG) beat classification is a very useful tool to timely diagnosis of dangerous heart conditions. In this paper, we have implemented an automatic ECG heartbeats classifier based on the K Nearest Neighbor algorithm (KN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1172f3bb354d9313e0d0e1698ec1808f
https://doi.org/10.1109/icass.2018.8652020
https://doi.org/10.1109/icass.2018.8652020
Publikováno v:
Proceedings of the 4th International Conference on Signal Processing Systems
ICSPS 2012
ICSPS 2012, Dec 2012, Kuala Lumpur, Malaysia. pp.1-5
IJCEE-International Journal of Computer and Electrical Engineering
IJCEE-International Journal of Computer and Electrical Engineering, International Academy Publishing (IAP), 2013, 5 (1), pp.26-29. ⟨10.7763/ijcee.2013.v5.655⟩
ICSPS 2012
ICSPS 2012, Dec 2012, Kuala Lumpur, Malaysia. pp.1-5
IJCEE-International Journal of Computer and Electrical Engineering
IJCEE-International Journal of Computer and Electrical Engineering, International Academy Publishing (IAP), 2013, 5 (1), pp.26-29. ⟨10.7763/ijcee.2013.v5.655⟩
International audience; The Phonocardiogram (PCG) is the graphical recording of acoustic energy produced by the mechanical activity of various cardiac. Due to the complicated mechanisms involved in the generation of in the PCG signal, it is considere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e11c5a2acc3646851c2b0a339d1668a8
https://doi.org/10.7763/ijcee.2013.v5.655
https://doi.org/10.7763/ijcee.2013.v5.655
Publikováno v:
The IET Conference on Intelligent Signal Processing (ISP 2015)
The IET Conference on Intelligent Signal Processing (ISP 2015), Dec 2015, Londres, United Kingdom. ⟨10.1049/cp.2015.1780⟩
The IET Conference on Intelligent Signal Processing (ISP 2015), Dec 2015, Londres, United Kingdom. ⟨10.1049/cp.2015.1780⟩
International audience; Phonocardiogram signals (PCGs) generated by the flow of blood in the heart hold the physiological characteristics of the heart. Sometimes, it carries pathological characteristics in the cardiac diseases where a lot of informat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f497ae7c7100a3b158f97f9b736944a
https://doi.org/10.1049/cp.2015.1780
https://doi.org/10.1049/cp.2015.1780
Autor:
Daoud Boutana, Messaoud Benidir
Publikováno v:
Canadian Journal of Electrical and Computer Engineering. 31:145-148
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f58775eedcc729256d46e351aff3c0f
https://doi.org/10.1109/cjece.2006.259209
https://doi.org/10.1109/cjece.2006.259209
Publikováno v:
Journal of Circuits, Systems, and Computers
Journal of Circuits, Systems, and Computers, World Scientific Publishing, 2017, 26, pp.1750198. ⟨10.1142/S0218126617501985⟩
Journal of Circuits, Systems, and Computers, 2017, 26, pp.1750198. ⟨10.1142/S0218126617501985⟩
Journal of Circuits, Systems, and Computers, World Scientific Publishing, 2017, 26, pp.1750198. ⟨10.1142/S0218126617501985⟩
Journal of Circuits, Systems, and Computers, 2017, 26, pp.1750198. ⟨10.1142/S0218126617501985⟩
This paper presents a method to characterize, identify and classify some pathological Electroencephalogram (EEG) signals. We use some Time Frequency Distributions (TFDs) to analyze its nonstationarity. The analysis is conducted by the spectrogram (SP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a6f6f4a0183f330c68d9b101fa67b6d
https://doi.org/10.1142/s0218126617501985
https://doi.org/10.1142/s0218126617501985
Publikováno v:
Proceedings of the 2nd International Conference on Electrical Engineering and Control Applications
ICEECA'2014
ICEECA'2014, Faculty of Sciences and Technology, University Constantine 1, Nov 2014, Constantine, Algeria
Recent Advances in Electrical Engineering and Control Applications
Mohammed Chadli, Sofiane Bououden, Ivan Zelinka. Recent Advances in Electrical Engineering and Control Applications, 411, Springer International Publishing, pp.355-368, 2016, Lecture Notes in Electrical Engineering 978-3-319-48928-5. ⟨10.1007/978-3-319-48929-2_28⟩
Lecture Notes in Electrical Engineering ISBN: 9783319489285
ICEECA'2014
ICEECA'2014, Faculty of Sciences and Technology, University Constantine 1, Nov 2014, Constantine, Algeria
Recent Advances in Electrical Engineering and Control Applications
Mohammed Chadli, Sofiane Bououden, Ivan Zelinka. Recent Advances in Electrical Engineering and Control Applications, 411, Springer International Publishing, pp.355-368, 2016, Lecture Notes in Electrical Engineering 978-3-319-48928-5. ⟨10.1007/978-3-319-48929-2_28⟩
Lecture Notes in Electrical Engineering ISBN: 9783319489285
International audience; This paper presents a time-frequency analysis for some pathological Electroencephalogram (EEG) signals. The proposed method is to characterize some pathological EEG signals using some time-frequency distributions (TFD). TFDs a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::772c7b19c632f16b76772470c26be060
https://hal-supelec.archives-ouvertes.fr/hal-01095664
https://hal-supelec.archives-ouvertes.fr/hal-01095664