Cargando…
A Decoding Prediction Model of Flexion and Extension of Left and Right Feet from Electroencephalogram
Detection of limb motor functions utilizing brain signals is a significant technique in the brain signal gain model (BSM) that can be effectively employed in various biomedical applications. Our research presents a novel technique for prediction of feet motor functions by applying a deep learning mo...
Autores principales: | AlArfaj, Abeer Abdulaziz, Hosni Mahmoud, Hanan A., Hafez, Alaaeldin M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404826/ https://www.ncbi.nlm.nih.gov/pubmed/36004856 http://dx.doi.org/10.3390/bs12080285 |
Ejemplares similares
-
A Deep Learning Model for Stroke Patients' Motor Function Prediction
por: AlArfaj, Abeer Abdulaziz, et al.
Publicado: (2022) -
A Fast Hybrid Classification Algorithm with Feature Reduction for Medical Images
por: Mahmoud, Hanan Ahmed Hosni, et al.
Publicado: (2022) -
Decoding Different Reach-and-Grasp Movements Using Noninvasive Electroencephalogram
por: Xu, Baoguo, et al.
Publicado: (2021) -
Right and left support feet of the Central Barrel Yoke of the CMS Detector
por: Franz Leher, DWE, et al.
Publicado: (2000) -
Recognition of Flexion and Extension Imagery Involving the Right and Left Arms Based on Deep Belief Network and Functional Near-Infrared Spectroscopy
por: Fu, Yunfa, et al.
Publicado: (2021)