Cargando…
Combining EEG signal processing with supervised methods for Alzheimer’s patients classification
BACKGROUND: Alzheimer’s Disease (AD) is a neurodegenaritive disorder characterized by a progressive dementia, for which actually no cure is known. An early detection of patients affected by AD can be obtained by analyzing their electroencephalography (EEG) signals, which show a reduction of the comp...
Autores principales: | Fiscon, Giulia, Weitschek, Emanuel, Cialini, Alessio, Felici, Giovanni, Bertolazzi, Paola, De Salvo, Simona, Bramanti, Alessia, Bramanti, Placido, De Cola, Maria Cristina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5984382/ https://www.ncbi.nlm.nih.gov/pubmed/29855305 http://dx.doi.org/10.1186/s12911-018-0613-y |
Ejemplares similares
-
Supervised DNA Barcodes species classification: analysis, comparisons and results
por: Weitschek, Emanuel, et al.
Publicado: (2014) -
CAMUR: Knowledge extraction from RNA-seq cancer data through equivalent classification rules
por: Cestarelli, Valerio, et al.
Publicado: (2016) -
Next generation sequencing reads comparison with an alignment-free distance
por: Weitschek, Emanuel, et al.
Publicado: (2014) -
Learning to classify species with barcodes
por: Bertolazzi, Paola, et al.
Publicado: (2009) -
CamurWeb: a classification software and a large knowledge base for gene expression data of cancer
por: Weitschek, Emanuel, et al.
Publicado: (2018)