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Efficient Multiple Channels EEG Signal Classification Based on Hierarchical Extreme Learning Machine.

Songyang Lyu¹, Ray C C Cheung¹

¹Department of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.

Sensors (Basel, Switzerland)

|November 14, 2023

Summary

This summary is machine-generated.

This study introduces a fast Extreme Learning Machine (ELM) framework for classifying electroencephalogram (EEG) signals in motor imagery. The new method significantly improves classification accuracy and reduces training time for brain-computer interface (BCI) systems.

Failed At:

2026-06-19T13:40:27.891140+00:00

Keywords:

BCI system EEG signal machine learning

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