Article

Non-Linear Synthetic Time Series Generation for EEG Data Using LSTM Models

2025-02-04

Abstract excerpt

The implementation of artificial intelligence-based systems for disease detection using biomedical signals is challenging due to the limited availability of training data. The ability to synthetically augment training datasets is therefore crucial. This paper proposes using Long Short-Term Memory (LSTM) networks to learn long-term dependencies in non-linear time series, and subsequently employing the trained model...

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Literature Corpus work: 32313527-012b-512c-b020-c8060c3d7cb0
DOI: 10.20944/preprints202502.0157.v1

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