Sequential Convolutional Neural Networks for classification of cognitive tasks from EEG signals-Reference-Cited by-同舟云学术

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Sequential Convolutional Neural Networks for classification of cognitive tasks from EEG signals

Published:2021-11 Issue: Volume:111 Page:107664
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

M. Suchetha^ORCID,R. Madhumitha,M. Sorna Meena,R. Sruthi

Funder

VIT University

Publisher

Elsevier BV

Subject

Software

Reference49 articles.

1. Brain computer interfacing: Applications and challenges;Abdulkader;Egypt. Inform. J.,2015

2. Brain-computer interfaces in medicine;Shih;Mayo Clin. Proc.,2012

3. Single-trial EEG classification of motor imagery using deep convolutional neural networks;Tang;Optik (Stuttg).,2017

4. Artificial neural network classification of motor-related EEG: An increase in classification accuracy by reducing signal complexity;Maksimenko;Complexity,2018

5. Motor imagery EEG classification using capsule networks;Ha;Sensors (Switzerland),2019

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2. EEG stress classification based on Doppler spectral features for ensemble 1D-CNN with LCL activation function;Journal of King Saud University - Computer and Information Sciences;2024-04

3. MASTF-net: An EEG Emotion Recognition Network Based on Multi-Source Domain Adaptive Method Based on Spatio-Temporal Image and Frequency Domain Information;IEEE Access;2024

4. State-of-the-art mental tasks classification based on electroencephalograms: a review;Physiological Measurement;2023-06-01

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