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Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization Volume 7, 2019 - Issue 3: Special Issue: 2nd and 3rd MICCAI workshop on Deep Learning in Medical Image Analysis
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Original Articles

Cross-wavelet transform as a new prototype for classification of EEG signals

Priyadarshiny DharApplied Electronics & Instrumentation Engineering, Netaji Subhash Engineering College, Kolkata, IndiaCorrespondence[email protected]
,
Saibal DuttaElectrical Engineering, Heritage Institute of Technology, Kolkata, India
,
V. MukherjeeElectrical Engineering, Indian School of Mines, Dhanbad, India
,
Abhijit DharSenior Consultant, Tata Consultancy Services Ltd, Kolkata, India
&
Prithwiraj DasElectrical Engineering, Govt. College of Engineering and Textile Technology, Berhampore, India
Pages 348-358 | Received 21 Mar 2018, Accepted 04 Sep 2018, Published online: 15 Oct 2018

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Read on this site (3)

Aseel Tayeh Swadi & Firas Sabar Miften. (2023) Detection of attention deficit hyperactivity disorder based on EEG signals using Least Square Support Vector Machine (LS-SVM). Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 0:0, pages 1-13.
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Amine Ben Slama, Hanene Sahli, Aymen Mouelhi, Jihene Marrakchi, Mounir Sayadi & Hedi Trabelsi. (2020) DBN-DNN: discrimination and classification of VNG sequence using deep neural network framework in the EMD domain. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 8:6, pages 681-690.
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Hanene Sahli, Amine Ben Slama, Sami Bouzaiane, Jihene Marrakchi, Seif Boukriba & Mounir Sayadi. (2020) VNG technique for a convenient vestibular neuritis rating. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 8:5, pages 571-580.
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Articles from other publishers (1)

Priyadarshiny Dhar, Saibal Dutta & Vivekananda Mukherjee. (2021) Cross-wavelet assisted convolution neural network (AlexNet) approach for phonocardiogram signals classification. Biomedical Signal Processing and Control 63, pages 102142.
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