Filter bank second-order underdamped stochastic resonance analysis for implementing a short-term high-speed SSVEP detection

Objective: The progression of brain-computer interfaces (BCIs) has been propelled by breakthroughs in neuroscience, signal processing, and machine learning, marking it as a dynamic field of study over the past few decades. Nevertheless, the nonlinear and non-stationary characteristics of steady-stat...

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Autori principali:	Ruiquan Chen, Guanghua Xu, Huanqing Zhang, Xun Zhang, Jieren Xie, Peiyuan Tian, Sicong Zhang, Chengcheng Han
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2024-01-01
Serie:	NeuroImage
Soggetti:	Brain-computer interfaces Steady-state visual evoked potentials Canonical correlation analysis Multivariate synchronization index Filter bank canonical correlation analysis Second-order underdamped stochastic resonance
Accesso online:	http://www.sciencedirect.com/science/article/pii/S1053811923006511
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