Dimension Reduction Using New Bond Graph Algorithm and Deep Learning Pooling on EEG Signals for BCI

Dimension Reduction Using New Bond Graph Algorithm and Deep Learning Pooling on EEG Signals for BCI

One of the main challenges in studying brain signals is the large size of the data due to the use of many electrodes and the time-consuming sampling. Choosing the right dimensional reduction method can lead to a reduction in the data processing time. Evolutionary algorithms are one of the methods us...

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Bibliographic Details
Main Authors: Ahmad Naebi, Zuren Feng, Farhoud Hosseinpour, Gahder Abdollahi
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Applied Sciences
Subjects:
bond graph methodology
algorithms
dimension reduction
feature selection
electrode selection
frequency selection
Online Access:https://www.mdpi.com/2076-3417/11/18/8761

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https://www.mdpi.com/2076-3417/11/18/8761

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