Cargando…
Brain wave classification using long short-term memory network based OPTICAL predictor
Brain-computer interface (BCI) systems having the ability to classify brain waves with greater accuracy are highly desirable. To this end, a number of techniques have been proposed aiming to be able to classify brain waves with high accuracy. However, the ability to classify brain waves and its impl...
Autores principales: | Kumar, Shiu, Sharma, Alok, Tsunoda, Tatsuhiko |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6591300/ https://www.ncbi.nlm.nih.gov/pubmed/31235800 http://dx.doi.org/10.1038/s41598-019-45605-1 |
Ejemplares similares
-
SPECTRA: a tool for enhanced brain wave signal recognition
por: Kumar, Shiu, et al.
Publicado: (2021) -
An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information
por: Kumar, Shiu, et al.
Publicado: (2017) -
Forecasting the spread of COVID-19 using LSTM network
por: Kumar, Shiu, et al.
Publicado: (2021) -
OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals
por: Kumar, Shiu, et al.
Publicado: (2021) -
Evolving Long Short-Term Memory Network-Based Text Classification
por: Singh, Arjun, et al.
Publicado: (2022)