Automatic detection of fast oscillations (40-200 Hz) in scalp EEG recordings

Objective—We aim to automatically detect fast oscillations (40–200 Hz) related to epilepsy on scalp EEG recordings. Methods—The detector first finds localized increments of the signal power in narrow frequency bands. A simple classification based on two features, a narrowband to wideband signal amp...

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Detalles Bibliográficos
Autores principales: Ellenrieder, Nicolás von, Andrade-Valença, Luciana P. A., Dubeau, François, Gotman, Jean
Formato: Articulo Preprint
Lenguaje:Inglés
Publicado: 2012
Materias:
Ingeniería
Medicina
Fast oscillation
Automatic detection
Scalp EEG
Interictal
Focal epilepsy
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/128233
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-128233
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ingeniería
Medicina
Fast oscillation
Automatic detection
Scalp EEG
Interictal
Focal epilepsy
spellingShingle Ingeniería
Medicina
Fast oscillation
Automatic detection
Scalp EEG
Interictal
Focal epilepsy
Ellenrieder, Nicolás von
Andrade-Valença, Luciana P. A.
Dubeau, François
Gotman, Jean
Automatic detection of fast oscillations (40-200 Hz) in scalp EEG recordings
topic_facet Ingeniería
Medicina
Fast oscillation
Automatic detection
Scalp EEG
Interictal
Focal epilepsy
description Objective—We aim to automatically detect fast oscillations (40–200 Hz) related to epilepsy on scalp EEG recordings. Methods—The detector first finds localized increments of the signal power in narrow frequency bands. A simple classification based on two features, a narrowband to wideband signal amplitude ratio and an absolute narrowband signal amplitude, then allows for an important reduction in the number of false positives. Results—When compared to an expert, the performance in 15 focal epilepsy patients resulted in 3.6 false positives per minute at 95% sensitivity, with at least 40% of the detected events being true positives. In most of the patients the channels showing the highest number of events according to the expert and the automatic detector were the same. Conclusions—A high sensitivity is achieved with the proposed automatic detector, but results should be reviewed by an expert to remove false positives. Significance—The time required to mark fast oscillations on scalp EEG recordings is drastically reduced with the use of the proposed detector. Thus, the automatic detector is a useful tool in studies aiming to create a better understanding of the fast oscillations visible on the scalp.
format Articulo
Preprint
author Ellenrieder, Nicolás von
Andrade-Valença, Luciana P. A.
Dubeau, François
Gotman, Jean
author_facet Ellenrieder, Nicolás von
Andrade-Valença, Luciana P. A.
Dubeau, François
Gotman, Jean
author_sort Ellenrieder, Nicolás von
title Automatic detection of fast oscillations (40-200 Hz) in scalp EEG recordings
title_short Automatic detection of fast oscillations (40-200 Hz) in scalp EEG recordings
title_full Automatic detection of fast oscillations (40-200 Hz) in scalp EEG recordings
title_fullStr Automatic detection of fast oscillations (40-200 Hz) in scalp EEG recordings
title_full_unstemmed Automatic detection of fast oscillations (40-200 Hz) in scalp EEG recordings
title_sort automatic detection of fast oscillations (40-200 hz) in scalp eeg recordings
publishDate 2012
url http://sedici.unlp.edu.ar/handle/10915/128233
work_keys_str_mv AT ellenriedernicolasvon automaticdetectionoffastoscillations40200hzinscalpeegrecordings
AT andradevalencalucianapa automaticdetectionoffastoscillations40200hzinscalpeegrecordings
AT dubeaufrancois automaticdetectionoffastoscillations40200hzinscalpeegrecordings
AT gotmanjean automaticdetectionoffastoscillations40200hzinscalpeegrecordings
bdutipo_str Repositorios
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