Cargando…
Time-Shift Correlation Algorithm for P300 Event Related Potential Brain-Computer Interface Implementation
A high efficient time-shift correlation algorithm was proposed to deal with the peak time uncertainty of P300 evoked potential for a P300-based brain-computer interface (BCI). The time-shift correlation series data were collected as the input nodes of an artificial neural network (ANN), and the clas...
Autores principales: | Liu, Ju-Chi, Chou, Hung-Chyun, Chen, Chien-Hsiu, Lin, Yi-Tseng, Kuo, Chung-Hsien |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4992804/ https://www.ncbi.nlm.nih.gov/pubmed/27579033 http://dx.doi.org/10.1155/2016/3039454 |
Ejemplares similares
-
Corrigendum to “Time-Shift Correlation Algorithm for P300 Event Related Potential Brain-Computer Interface Implementation”
por: Liu, Ju-Chi, et al.
Publicado: (2017) -
Wireless Stimulus-on-Device Design for Novel P300 Hybrid Brain-Computer Interface Applications
por: Kuo, Chung-Hsien, et al.
Publicado: (2018) -
Development of a Blood Pressure Measurement Instrument with Active Cuff Pressure Control Schemes
por: Kuo, Chung-Hsien, et al.
Publicado: (2017) -
Accuracy Evaluation of Collapsed Cone Convolution Superposition Algorithms for the Nasopharynx Interface in the Early Stage of Nasopharyngeal Carcinoma
por: Lai, Yuan-Chun, et al.
Publicado: (2022) -
A spatial-temporal linear feature learning algorithm for P300-based brain-computer interfaces
por: Aghili, Seyedeh Nadia, et al.
Publicado: (2023)