loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Carolina Saavedra and Laurent Bougrain

Affiliation: Université de Lorraine and Inria, France

ISBN: 978-989-8565-36-5

Keyword(s): Event-related Potential, Denoising, Wavelets, Signals Correlation, Single-trial Detection, Brain-computer Interfaces.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Detection and Identification ; Informatics in Control, Automation and Robotics ; Medical Image Detection, Acquisition, Analysis and Processing ; Signal Processing, Sensors, Systems Modeling and Control ; Time and Frequency Response ; Time-Frequency Analysis ; Wavelet Transform

Abstract: Electroencephalographic signals are usually contaminated by noise and artifacts making difficult to detect Event-Related Potential (ERP), specially in single trials. Wavelet denoising has been successfully applied to ERP detection, but usually works using channels information independently. This paper presents a new adaptive approach to denoise signals taking into account channels correlation in the wavelet domain. Moreover, we combine phase and amplitude information in the wavelet domain to automatically select a temporal window which increases class separability. Results on a classic Brain-Computer Interface application to spell characters using P300 detection show that our algorithm has a better accuracy with respect to the VisuShrink wavelet technique and XDAWN algorithm among 22 healthy subjects, and a better regularity than XDAWN.

PDF ImageFull Text

Download
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 100.24.122.228

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:
Saavedra, C. and Bougrain, L. (2013). Wavelet-based Semblance for P300 Single-trial Detection.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013) ISBN 978-989-8565-36-5, pages 120-125. DOI: 10.5220/0004191001200125

@conference{biosignals13,
author={Carolina Saavedra. and Laurent Bougrain.},
title={Wavelet-based Semblance for P300 Single-trial Detection},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)},
year={2013},
pages={120-125},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004191001200125},
isbn={978-989-8565-36-5},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)
TI - Wavelet-based Semblance for P300 Single-trial Detection
SN - 978-989-8565-36-5
AU - Saavedra, C.
AU - Bougrain, L.
PY - 2013
SP - 120
EP - 125
DO - 10.5220/0004191001200125

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.