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
- Institución
- Pontificia Universidad Católica Argentina
- OAI Identificador
- oai:ucacris:123456789/13861
Ver los metadatos del registro completo
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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 |
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