Table of Contents
Advances in Artificial Neural Systems
Volume 2013, Article ID 972412, 11 pages
http://dx.doi.org/10.1155/2013/972412
Research Article

The Classification of Valid and Invalid Beats of Three-Dimensional Nystagmus Eye Movement Signals Using Machine Learning Methods

1Computer Science , School of Information Sciences, University of Tampere, 33014 Tampere, Finland
2Department of Otorhinolaryngology & Head and Neck Surgery, University of Helsinki and Helsinki University Central Hospital, HUS, 00029 Helsinki, Finland

Received 30 June 2013; Revised 27 September 2013; Accepted 18 October 2013

Academic Editor: Christian Mayr

Copyright © 2013 Martti Juhola et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Martti Juhola, Heikki Aalto, Henry Joutsijoki, and Timo P. Hirvonen, “The Classification of Valid and Invalid Beats of Three-Dimensional Nystagmus Eye Movement Signals Using Machine Learning Methods,” Advances in Artificial Neural Systems, vol. 2013, Article ID 972412, 11 pages, 2013. https://doi.org/10.1155/2013/972412.