Bi-LSTM neural network for EEG-based error detection in musicians’ performance-Reference-Cited by-同舟云学术

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Bi-LSTM neural network for EEG-based error detection in musicians’ performance

Published:2022-09 Issue: Volume:78 Page:103885
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Ariza Isaac^ORCID,Tardón Lorenzo J.^ORCID,Barbancho Ana M.^ORCID,De-Torres Irene,Barbancho Isabel^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference39 articles.

1. Guide to Brain-Computer Music Interfacing;Miranda,2014

2. EEG Signal Processing;Sanei,2008

3. Diagnosing autism spectrum disorders based on EEG analysis: A survey;Hashemian;Neurophysiology,2014

4. Prediction of depression from EEG signal using long short term memory (LSTM);Kumar,2019

5. A DWT-band power-SVM based architecture for neurological brain disorders diagnosis using EEG signals;Alturki,2019

Cited by 4 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. Emotion Recognition of Playing Musicians From EEG, ECG, and Acoustic Signals;IEEE Transactions on Human-Machine Systems;2024

2. Energy-based features and bi-LSTM neural network for EEG-based music and voice classification;Neural Computing and Applications;2023-10-13

3. Small-Scale Zero-Shot Collision Localization for Robots Using RL-CNN;Applied Sciences;2023-03-23

4. Imaginary Speech Recognition Using a Convolutional Network with Long-Short Memory;Applied Sciences;2022-11-21

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