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

Martti Juhola, Heikki Aalto, Henry Joutsijoki, Timo P. Hirvonen

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Article number	972412
Journal	Advances in Artificial Neural Systems
Volume	2013
Number of pages	11
DOIs	https://doi.org/10.1155/2013/972412
Publication status	Published - 2013
MoE publication type	A1 Journal article-refereed

Fields of Science

@article{35e459c1eec443dca1457d8e7698cd62,

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

keywords = "113 Computer and information sciences, 3112 Neurosciences",

author = "Martti Juhola and Heikki Aalto and Henry Joutsijoki and Hirvonen, {Timo P.}",

year = "2013",

doi = "10.1155/2013/972412",

language = "English",

volume = "2013",

journal = "Advances in Artificial Neural Systems",

issn = "1687-7608",

publisher = "Hindawi Limited",

}

TY - JOUR

T1 - The Classification of Valid and Invalid Beats of Three-Dimensional Nystagmus Eye Movement Signals Using Machine Learning Methods

AU - Juhola, Martti

AU - Aalto, Heikki

AU - Joutsijoki, Henry

AU - Hirvonen, Timo P.

PY - 2013

Y1 - 2013

KW - 113 Computer and information sciences

KW - 3112 Neurosciences

U2 - 10.1155/2013/972412

DO - 10.1155/2013/972412

M3 - Article

SN - 1687-7608

VL - 2013

JO - Advances in Artificial Neural Systems

JF - Advances in Artificial Neural Systems

M1 - 972412

ER -