Classification of EEG Signals using Deep Learning-Reference-Cited by-同舟云学术

Classification of EEG Signals using Deep Learning

Published:2022-05-06 Issue: Volume: Page:
ISSN:
Container-title:2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)
language:
Short-container-title:

Author:

Zaway Lassaad¹,Chrifi-Alaoui Larbi²,Amor Nader Ben¹,Jallouli Mohamed¹,Delahoche Laurent²

Affiliation:

1. National School of Engineering of Sfax, ENIS, University of Sfax,CES-Laboratary,Tunisia

2. University of Picardie,Laboratory LTI,Jules Verne,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9955493/9955494/09955724.pdf?arnumber=9955724

Reference15 articles.

1. EEG signal classification using LSTM and improved neural network algorithms

2. Recognizing Emotions Evoked by Music Using CNN-LSTM Networks on EEG Signals

3. Classification of Confusion Level Using EEG Data and Artificial Neural Networks;reñosa;2019 IEEE 11th International Conference on Humanoid Nanotechnology Information Technology Communication and Control Environment and Management (HNICEM),2019

4. Cloud‐aided online EEG classification system for brain healthcare: A case study of depression evaluation with a lightweight CNN

5. LSTM-Based EEG Classification in Motor Imagery Tasks

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A review on evaluating mental stress by deep learning using EEG signals;Neural Computing and Applications;2024-05-09

2. Optimization of Wheelchair Control via Multi-Modal Integration: Combining Webcam and EEG;Future Internet;2024-05-03

3. EEG Brainwave Data Classification of a Confused Student Using Moving Average Feature;2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN);2023-06