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Optimized deformable convolution network for detection and mitigation of ocular artifacts from EEG signal
Electroencephalogram (EEG) is the key component in the field of analyzing brain activity and behavior. EEG signals are affected by artifacts in the recorded electrical activity; thereby it affects the analysis of EGG. To extract the clean data from EEG signals and to improve the efficiency of detect...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989407/ https://www.ncbi.nlm.nih.gov/pubmed/35431612 http://dx.doi.org/10.1007/s11042-022-12874-4 |