Artefacts Detection in EEG Signals

Autores
Quintero-Rincón, Antonio; D’Giano, Carlos; Batatia, Hadj
Año de publicación
2021
Idioma
inglés
Tipo de recurso
parte de libro
Estado
versión publicada
Descripción
Fil: Quintero-Rincón, Antonio. Pontificia Universidad Católica Argentina. Facultad de Ingeniería y Ciencias Agrarias. Departamento de Electrónica; Argentina
Fil: D’Giano, Carlos. FLENI. Fundación de Lucha contra las Enfermedades Neurológicas Pediátricas. Centro Integral de Epilepsia y Telemetría; Argentina
Fil: Batatia, Hadj. Heriot-Watt University, MACS School, Knowledge park, Dubai-Campus; Emiratos Árabes Unidos
Abstract: Electroencephalography (EEG) is a non-invasive and widely available biomedical modality that is used to measure brain activity in order to diagnose different neurological pathologies and plan treatment. Neurologists trained in EEG are able to determine the correct medical diagnostics by identifying visually different waveforms, known as spikes, sharp waves, or the mix of both. The standardized international 10-20 system is generally used to record EEG activity. This system has 21 electrodes located symmetrically on the surface of the scalp. These positions are computed as percentages of standard distances, the resulting records are comparable between different patients. EEG electrode positions are determined as follows: the reference points are the nasion, which is the delve at the top of the nose, at the level of the eyes; and the inion, which is the bony lump at the base of the skull on the midline at the back of the head. From these points and once the central point (Cz) is localized, the skull perimeters are measured in the transverse and median planes. Electrode locations are determined by dividing these perimeters into 10 % and 20 % intervals, see Fig. 11.1. Additionally, the EEG measurement provides temporal and spatial information about the synchronous firing of many neurons inside the brain with a dominant frequency according to the brain rhythms [1]. The EEG measurement can use a unipolar montage configuration, where the potential of each electrode is compared either to a neutral electrode or to the average of all electrodes; or bipolar montage configuration, where the potential difference between a pair of electrodes spatially close is measured.
Fuente
Advances in signal processing : reviews book series, Vol.2. Barcelona : International Frequency Sensor Association Publishing, 2021
Materia
ELECTROENCEFALOGRAFIA
ACTIVIDAD NEURONAL
ENFERMEDAD CEREBRAL
DIAGNOSTICO POR IMAGEN
BIOMEDICINA
ELECTROFISIOLOGIA
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
Repositorio Institucional (UCA)
Institución
Pontificia Universidad Católica Argentina
OAI Identificador
oai:ucacris:123456789/13861

id RIUCA_daac64c2b1050fe5113905e4f1712715
oai_identifier_str oai:ucacris:123456789/13861
network_acronym_str RIUCA
repository_id_str 2585
network_name_str Repositorio Institucional (UCA)
spelling Artefacts Detection in EEG SignalsQuintero-Rincón, AntonioD’Giano, CarlosBatatia, HadjELECTROENCEFALOGRAFIAACTIVIDAD NEURONALENFERMEDAD CEREBRALDIAGNOSTICO POR IMAGENBIOMEDICINAELECTROFISIOLOGIAFil: Quintero-Rincón, Antonio. Pontificia Universidad Católica Argentina. Facultad de Ingeniería y Ciencias Agrarias. Departamento de Electrónica; ArgentinaFil: D’Giano, Carlos. FLENI. Fundación de Lucha contra las Enfermedades Neurológicas Pediátricas. Centro Integral de Epilepsia y Telemetría; ArgentinaFil: Batatia, Hadj. Heriot-Watt University, MACS School, Knowledge park, Dubai-Campus; Emiratos Árabes UnidosAbstract: Electroencephalography (EEG) is a non-invasive and widely available biomedical modality that is used to measure brain activity in order to diagnose different neurological pathologies and plan treatment. Neurologists trained in EEG are able to determine the correct medical diagnostics by identifying visually different waveforms, known as spikes, sharp waves, or the mix of both. The standardized international 10-20 system is generally used to record EEG activity. This system has 21 electrodes located symmetrically on the surface of the scalp. These positions are computed as percentages of standard distances, the resulting records are comparable between different patients. EEG electrode positions are determined as follows: the reference points are the nasion, which is the delve at the top of the nose, at the level of the eyes; and the inion, which is the bony lump at the base of the skull on the midline at the back of the head. From these points and once the central point (Cz) is localized, the skull perimeters are measured in the transverse and median planes. Electrode locations are determined by dividing these perimeters into 10 % and 20 % intervals, see Fig. 11.1. Additionally, the EEG measurement provides temporal and spatial information about the synchronous firing of many neurons inside the brain with a dominant frequency according to the brain rhythms [1]. The EEG measurement can use a unipolar montage configuration, where the potential of each electrode is compared either to a neutral electrode or to the average of all electrodes; or bipolar montage configuration, where the potential difference between a pair of electrodes spatially close is measured.2021info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_3248info:ar-repo/semantics/parteDeLibroapplication/pdfhttps://repositorio.uca.edu.ar/handle/123456789/13861Quintero-Rincón, A., D’Giano, C., Batatia, H. Artefacts Detection in EEG Signals [en línea]. En: Yurish, S. Y. Advances in signal processing : reviews book series, Vol.2. Barcelona : International Frequency Sensor Association Publishing, 2021 ISBN 978-84-09-28830-4. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/13861Advances in signal processing : reviews book series, Vol.2. Barcelona : International Frequency Sensor Association Publishing, 2021reponame:Repositorio Institucional (UCA)instname:Pontificia Universidad Católica Argentinaenginfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/2025-07-03T10:58:31Zoai:ucacris:123456789/13861instacron:UCAInstitucionalhttps://repositorio.uca.edu.ar/Universidad privadaNo correspondehttps://repositorio.uca.edu.ar/oaiclaudia_fernandez@uca.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:25852025-07-03 10:58:32.153Repositorio Institucional (UCA) - Pontificia Universidad Católica Argentinafalse
dc.title.none.fl_str_mv Artefacts Detection in EEG Signals
title Artefacts Detection in EEG Signals
spellingShingle Artefacts Detection in EEG Signals
Quintero-Rincón, Antonio
ELECTROENCEFALOGRAFIA
ACTIVIDAD NEURONAL
ENFERMEDAD CEREBRAL
DIAGNOSTICO POR IMAGEN
BIOMEDICINA
ELECTROFISIOLOGIA
title_short Artefacts Detection in EEG Signals
title_full Artefacts Detection in EEG Signals
title_fullStr Artefacts Detection in EEG Signals
title_full_unstemmed Artefacts Detection in EEG Signals
title_sort Artefacts Detection in EEG Signals
dc.creator.none.fl_str_mv Quintero-Rincón, Antonio
D’Giano, Carlos
Batatia, Hadj
author Quintero-Rincón, Antonio
author_facet Quintero-Rincón, Antonio
D’Giano, Carlos
Batatia, Hadj
author_role author
author2 D’Giano, Carlos
Batatia, Hadj
author2_role author
author
dc.subject.none.fl_str_mv ELECTROENCEFALOGRAFIA
ACTIVIDAD NEURONAL
ENFERMEDAD CEREBRAL
DIAGNOSTICO POR IMAGEN
BIOMEDICINA
ELECTROFISIOLOGIA
topic ELECTROENCEFALOGRAFIA
ACTIVIDAD NEURONAL
ENFERMEDAD CEREBRAL
DIAGNOSTICO POR IMAGEN
BIOMEDICINA
ELECTROFISIOLOGIA
dc.description.none.fl_txt_mv Fil: Quintero-Rincón, Antonio. Pontificia Universidad Católica Argentina. Facultad de Ingeniería y Ciencias Agrarias. Departamento de Electrónica; Argentina
Fil: D’Giano, Carlos. FLENI. Fundación de Lucha contra las Enfermedades Neurológicas Pediátricas. Centro Integral de Epilepsia y Telemetría; Argentina
Fil: Batatia, Hadj. Heriot-Watt University, MACS School, Knowledge park, Dubai-Campus; Emiratos Árabes Unidos
Abstract: Electroencephalography (EEG) is a non-invasive and widely available biomedical modality that is used to measure brain activity in order to diagnose different neurological pathologies and plan treatment. Neurologists trained in EEG are able to determine the correct medical diagnostics by identifying visually different waveforms, known as spikes, sharp waves, or the mix of both. The standardized international 10-20 system is generally used to record EEG activity. This system has 21 electrodes located symmetrically on the surface of the scalp. These positions are computed as percentages of standard distances, the resulting records are comparable between different patients. EEG electrode positions are determined as follows: the reference points are the nasion, which is the delve at the top of the nose, at the level of the eyes; and the inion, which is the bony lump at the base of the skull on the midline at the back of the head. From these points and once the central point (Cz) is localized, the skull perimeters are measured in the transverse and median planes. Electrode locations are determined by dividing these perimeters into 10 % and 20 % intervals, see Fig. 11.1. Additionally, the EEG measurement provides temporal and spatial information about the synchronous firing of many neurons inside the brain with a dominant frequency according to the brain rhythms [1]. The EEG measurement can use a unipolar montage configuration, where the potential of each electrode is compared either to a neutral electrode or to the average of all electrodes; or bipolar montage configuration, where the potential difference between a pair of electrodes spatially close is measured.
description Fil: Quintero-Rincón, Antonio. Pontificia Universidad Católica Argentina. Facultad de Ingeniería y Ciencias Agrarias. Departamento de Electrónica; Argentina
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_3248
info:ar-repo/semantics/parteDeLibro
format bookPart
status_str publishedVersion
dc.identifier.none.fl_str_mv https://repositorio.uca.edu.ar/handle/123456789/13861
Quintero-Rincón, A., D’Giano, C., Batatia, H. Artefacts Detection in EEG Signals [en línea]. En: Yurish, S. Y. Advances in signal processing : reviews book series, Vol.2. Barcelona : International Frequency Sensor Association Publishing, 2021 ISBN 978-84-09-28830-4. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/13861
url https://repositorio.uca.edu.ar/handle/123456789/13861
identifier_str_mv Quintero-Rincón, A., D’Giano, C., Batatia, H. Artefacts Detection in EEG Signals [en línea]. En: Yurish, S. Y. Advances in signal processing : reviews book series, Vol.2. Barcelona : International Frequency Sensor Association Publishing, 2021 ISBN 978-84-09-28830-4. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/13861
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Advances in signal processing : reviews book series, Vol.2. Barcelona : International Frequency Sensor Association Publishing, 2021
reponame:Repositorio Institucional (UCA)
instname:Pontificia Universidad Católica Argentina
reponame_str Repositorio Institucional (UCA)
collection Repositorio Institucional (UCA)
instname_str Pontificia Universidad Católica Argentina
repository.name.fl_str_mv Repositorio Institucional (UCA) - Pontificia Universidad Católica Argentina
repository.mail.fl_str_mv claudia_fernandez@uca.edu.ar
_version_ 1836638361601703936
score 13.13397