Comparative Analysis of Neural Decoding Algorithms for Brain-Machine Interfaces

Accurate neural decoding of brain dynamics remains an open challenge in brain-machine interfaces. While various signal processing, feature extraction, and classification algorithms have been proposed, a systematic comparison of these is lacking. Accordingly, here we conducted one of the largest comp...

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Veröffentlicht in:	IEEE International Conference on Rehabilitation Robotics Jg. 2025; S. 222 - 227
Hauptverfasser:	Shevchenko, Olena, Yeremeieva, Sofiia, Laschowski, Brokoslaw
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.05.2025
Schlagworte:	Accuracy Algorithms Brain - physiology Brain-Computer Interfaces Classification algorithms Decoding Electroencephalography - methods Feature extraction Humans Machine Learning Neural Networks, Computer Signal processing Signal processing algorithms Signal Processing, Computer-Assisted Surface reconstruction Surface treatment Systematics
ISSN:	1945-7901, 1945-7901
Online-Zugang:	Volltext
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