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Towards Semi-Automatic Artifact Rejection for the Improvement of Alzheimer’s Disease Screening from EEG Signals

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dc.contributor Universitat de Vic - Universitat Central de Catalunya. Facultat de Ciències i Tecnologia
dc.contributor.author Solé-Casals, Jordi
dc.contributor.author Vialatte, François B.
dc.date.accessioned 2015-09-28T12:31:59Z
dc.date.available 2015-09-28T12:31:59Z
dc.date.created 2015
dc.date.issued 2015
dc.identifier.citation Solé-Casals, J., & Vialatte, F. -. (2015). Towards semi-automatic artifact rejection for the improvement of alzheimer’s disease screening from EEG signals. Sensors (Switzerland), 15(8), 17963-17976. ca_ES
dc.identifier.issn 1424-8220
dc.identifier.uri http://hdl.handle.net/10854/4234
dc.description.abstract A large number of studies have analyzed measurable changes that Alzheimer’s disease causes on electroencephalography (EEG). Despite being easily reproducible, those markers have limited sensitivity, which reduces the interest of EEG as a screening tool for this pathology. This is for a large part due to the poor signal-to-noise ratio of EEG signals: EEG recordings are indeed usually corrupted by spurious extra-cerebral artifacts. These artifacts are responsible for a consequent degradation of the signal quality. We investigate the possibility to automatically clean a database of EEG recordings taken from patients suffering from Alzheimer’s disease and healthy age-matched controls. We present here an investigation of commonly used markers of EEG artifacts: kurtosis, sample entropy, zero-crossing rate and fractal dimension. We investigate the reliability of the markers, by comparison with human labeling of sources. Our results show significant differences with the sample entropy marker. We present a strategy for semi-automatic cleaning based on blind source separation, which may improve the specificity of Alzheimer screening using EEG signals en
dc.format application/pdf
dc.format.extent 14 p.
dc.language.iso eng
dc.publisher MDPI AG ca_ES
dc.rights Aquest document està subjecte a aquesta llicència Creative Commons ca_ES
dc.rights.uri http://creativecommons.org/licenses/by-nc/3.0/es/ ca_ES
dc.subject.other Alzheimer, Malaltia d' ca_ES
dc.title Towards Semi-Automatic Artifact Rejection for the Improvement of Alzheimer’s Disease Screening from EEG Signals en
dc.type info:eu-repo/semantics/article ca_ES
dc.identifier.doi https://doi.org/10.3390/s150817963
dc.rights.accessRights info:eu-repo/semantics/openAccess ca_ES
dc.type.version info:eu-repo/publishedVersion ca_ES
dc.indexacio Indexat a SCOPUS ca_ES
dc.indexacio Indexat a WOS/JCR

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