Non-Linear Synthetic Time Series Generation for Electroencephalogram Data Using Long Short-Term Memory Models

Non-Linear Synthetic Time Series Generation for Electroencephalogram Data Using Long Short-Term Memory Models

<b>Background/Objectives:</b> The implementation of artificial intelligence-based systems for disease detection using biomedical signals is challenging due to the limited availability of training data. This paper deals with the generation of synthetic EEG signals using deep learning-base...

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Bibliographic Details
Main Authors: Bakr Rashid Alqaysi, Manuel Rosa-Zurera, Ali Abdulameer Aldujaili
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:AI
Subjects:
EEG
time series
synthetic data
LSTM
Online Access:https://www.mdpi.com/2673-2688/6/5/89
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