Microsleep Detection in Electrophysiological Signals

Martin Golz; David Sommer; Danilo Mandic

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Microsleep Detection in Electrophysiological Signals

In Proceedings of the 1st International Workshop on Biosignal Processing and Classification - Volume 0ICINCO, 102-109, 2005 , Barcelona, Spain

Authors: Martin Golz ¹ ; David Sommer ¹ and Danilo Mandic ²

Affiliations: ¹ University of Applied Sciences Schmalkalden, Germany ; ² Imperial College, United Kingdom

Abstract: An adaptive biosignal analysis system for the detection of microsleep events is presented. The system was applied to the electroencephalogram and electrooculogram recorded of 23 young volunteers while performing monotonic overnight driving in our real car driving simulation laboratory. Biosignals during clear observable microsleep and non-microsleep events were processed and classified. Besides the commonly applied Periodogram method to estimate power spectral densities we utilized the recently established method of Delay Vector Variance. The obtained feature set was used as input vectors of populations of Learning Vector Quantization networks which were evolved by Genetic Algorithms. The results were compared with results from best performing Support Vector Machines. Fusion of all recorded signals and of both types of features led to empirical test errors down to 11.2 %. It is shown that the proposed methodology is able to detect, but not to predict immediately oncoming events.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.145.130.31

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:

Golz, M.; Sommer, D. and Mandic, D. (2005). Microsleep Detection in Electrophysiological Signals. In Proceedings of the 1st International Workshop on Biosignal Processing and Classification (ICINCO 2005) - BPC; ISBN 972-8865-35-X, SciTePress, pages 102-109. DOI: 10.5220/0001195701020109

@conference{bpc05,
author={Martin Golz. and David Sommer. and Danilo Mandic.},
title={Microsleep Detection in Electrophysiological Signals},
booktitle={Proceedings of the 1st International Workshop on Biosignal Processing and Classification (ICINCO 2005) - BPC},
year={2005},
pages={102-109},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001195701020109},
isbn={972-8865-35-X},
}

TY - CONF

JO - Proceedings of the 1st International Workshop on Biosignal Processing and Classification (ICINCO 2005) - BPC
TI - Microsleep Detection in Electrophysiological Signals
SN - 972-8865-35-X
AU - Golz, M.
AU - Sommer, D.
AU - Mandic, D.
PY - 2005
SP - 102
EP - 109
DO - 10.5220/0001195701020109
PB - SciTePress