Cargando…
EEG Artifact Removal System for Depression Using a Hybrid Denoising Approach
INTRODUCTION: Several computer-aided diagnosis systems for depression are suggested for use by clinicians to authorize the diagnosis. EEG may be used as an objective analysis tool for identifying depression in the initial stage to avoid it from reaching a severe and permanent state. However, artifac...
Autores principales: | Kaur, Chamandeep, Singh, Preeti, Sahni, Sukhtej |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Iranian Neuroscience Society
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817173/ https://www.ncbi.nlm.nih.gov/pubmed/35154587 http://dx.doi.org/10.32598/bcn.2021.1388.2 |
Ejemplares similares
-
EEG Derived Neuronal Dynamics during Meditation: Progress and Challenges
por: Kaur, Chamandeep, et al.
Publicado: (2015) -
EEG Artifact Removal in TMS Studies of Cortical Speech Areas
por: Salo, Karita S.-T., et al.
Publicado: (2019) -
Denoising and Motion Artifact Removal Using Deformable Kernel Prediction Neural Network for Color-Intensified CMOS
por: Han, Zhenghao, et al.
Publicado: (2021) -
Removal of Artifacts from EEG Signals: A Review
por: Jiang, Xiao, et al.
Publicado: (2019) -
NEAR: An artifact removal pipeline for human newborn EEG data
por: Kumaravel, Velu Prabhakar, et al.
Publicado: (2022)