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A fully automated method for segmentation and classification of local field potential recordings. Preliminary results

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A fully automated method for segmentation and classification of local field potential recordings. Preliminary results

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Díaz-Parra, A.; Canals, S.; Moratal, D. (2017). A fully automated method for segmentation and classification of local field potential recordings. Preliminary results. Proceedings Intenational Anual Conference of IEEE Engineering in Medicine and Biology Society. 426-429. https://doi.org/10.1109/EMBC.2017.8036853

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/148522

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Title: A fully automated method for segmentation and classification of local field potential recordings. Preliminary results
Author: Díaz-Parra, Antonio Canals, S. Moratal, David
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Issued date:
Abstract:
[EN] Identification of brain states measured with electrophysiological methods such as electroencephalography and local field potential (LFP) recordings is of great importance in numerous neuroscientific applications. For ...[+]
Subjects: Signals , EEG
Copyrigths: Cerrado
Source:
Proceedings Intenational Anual Conference of IEEE Engineering in Medicine and Biology Society. (issn: 1557-170X )
DOI: 10.1109/EMBC.2017.8036853
Publisher:
IEEE Engineering in Medicine and Biology Society
Publisher version: https://doi.org/10.1109/EMBC.2017.8036853
Conference name: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017)
Conference place: Jeju Island, South Korea
Conference date: Julio 11-15,2017
Project ID:
info:eu-repo/grantAgreement/EC/H2020/668863/EU
MINECO/BFU2015-64380-C2-1-R
MINECO/SEV-2013-0317
MINECO/BFU2015-64380-C2-2-R
MECD/FPU13/01475
Thanks:
Research supported by the Spanish Ministerio de Economia y Competitividad (MINECO) under grants BFU2015-64380-C2-1-R and BFU2015-64380-C2-2R and European Union's Horizon 2020 research and innovation programme under grant ...[+]
Type: Artículo Comunicación en congreso Capítulo de libro

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