Cargando…
Quaternion-Based Signal Analysis for Motor Imagery Classification from Electroencephalographic Signals
Quaternions can be used as an alternative to model the fundamental patterns of electroencephalographic (EEG) signals in the time domain. Thus, this article presents a new quaternion-based technique known as quaternion-based signal analysis (QSA) to represent EEG signals obtained using a brain-comput...
Autores principales: | Batres-Mendoza, Patricia, Montoro-Sanjose, Carlos R., Guerra-Hernandez, Erick I., Almanza-Ojeda, Dora L., Rostro-Gonzalez, Horacio, Romero-Troncoso, Rene J., Ibarra-Manzano, Mario A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4813911/ https://www.ncbi.nlm.nih.gov/pubmed/26959029 http://dx.doi.org/10.3390/s16030336 |
Ejemplares similares
-
Improving EEG-Based Motor Imagery Classification for Real-Time Applications Using the QSA Method
por: Batres-Mendoza, Patricia, et al.
Publicado: (2017) -
A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces
por: Kaya, Murat, et al.
Publicado: (2018) -
Dimensionality Reduction and Channel Selection of Motor Imagery Electroencephalographic Data
por: Naeem, Muhammad, et al.
Publicado: (2009) -
Geometric Analysis of Signals for Inference of Multiple Faults in Induction Motors
por: Contreras-Hernandez, Jose L., et al.
Publicado: (2022) -
Effective Connectivity for Decoding Electroencephalographic Motor Imagery Using a Probabilistic Neural Network
por: Awais, Muhammad Ahsan, et al.
Publicado: (2021)