loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Süleyman Baykut 1 ; Paulo Gonçalves 2 ; Pierre-Hervé Luppi 3 ; Patrice Abry 2 ; Edmundo Pereira de Souza Neto 2 and Damien Gervasoni 3

Affiliations: 1 Istanbul Technical University, Turkey ; 2 Ecole Normale Supérieure de Lyon, France ; 3 Université Claude Bernard, France

Keyword(s): Automatic Sleep State Classification, Empirical Mode Decomposition, Rat EEG.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing

Abstract: In this paper Empirical Mode Decomposition (EMD)-based features from single-channel electroencephalographic (EEG) data are proposed for rat’s sleep state classification. The classification performances of the EMD-based features and some classical power spectrum density (PSD)-based features are compared. Supported by experiments on real EEG data, we demonstrate that classification performances can significantly improve, by simply substituting EMD to PSD in features extraction. This is in noticeably due to the natural adaptivity of EMD which show more robust to subjects variability.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.138.125.2

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Baykut, S.; Gonçalves, P.; Luppi, P.; Abry, P.; Pereira de Souza Neto, E. and Gervasoni, D. (2009). EMD-BASED ANALYSIS OF RAT EEG DATA FOR SLEEP STATE CLASSIFICATION. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS; ISBN 978-989-8111-65-4; ISSN 2184-4305, SciTePress, pages 115-123. DOI: 10.5220/0001546501150123

@conference{biosignals09,
author={Süleyman Baykut. and Paulo Gon\c{C}alves. and Pierre{-}Hervé Luppi. and Patrice Abry. and Edmundo {Pereira de Souza Neto}. and Damien Gervasoni.},
title={EMD-BASED ANALYSIS OF RAT EEG DATA FOR SLEEP STATE CLASSIFICATION},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS},
year={2009},
pages={115-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001546501150123},
isbn={978-989-8111-65-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS
TI - EMD-BASED ANALYSIS OF RAT EEG DATA FOR SLEEP STATE CLASSIFICATION
SN - 978-989-8111-65-4
IS - 2184-4305
AU - Baykut, S.
AU - Gonçalves, P.
AU - Luppi, P.
AU - Abry, P.
AU - Pereira de Souza Neto, E.
AU - Gervasoni, D.
PY - 2009
SP - 115
EP - 123
DO - 10.5220/0001546501150123
PB - SciTePress