Cargando…
An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis
Identification of alcoholism is clinically important because of the way it affects the operation of the brain. Alcoholics are more vulnerable to health issues, such as immune disorders, high blood pressure, brain anomalies, and heart problems. These health issues are also a significant cost to natio...
Autores principales: | Al-Hadeethi, Hanan, Abdulla, Shahab, Diykh, Mohammed, Deo, Ravinesh C., Green, Jonathan H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851395/ https://www.ncbi.nlm.nih.gov/pubmed/35185506 http://dx.doi.org/10.3389/fninf.2021.808339 |
Ejemplares similares
-
Determinant of Covariance Matrix Model Coupled with AdaBoost Classification Algorithm for EEG Seizure Detection
por: Al-Hadeethi, Hanan, et al.
Publicado: (2021) -
Covariance matrix filtering with bootstrapped hierarchies
por: Bongiorno, Christian, et al.
Publicado: (2021) -
Eigenvalues of the covariance matrix as early warning signals for critical transitions in ecological systems
por: Chen, Shiyang, et al.
Publicado: (2019) -
Classification of epileptic EEG signals based on simple random sampling and sequential feature selection
por: Ghayab, Hadi Ratham Al, et al.
Publicado: (2016) -
Eigenvalues of partitioned matrices "generated" by a matrix with known eigenvalues
por: Gyr, Marcel
Publicado: (1974)