Logo eprints

A Classification method for eye movements direction during REM sleep trained on wake electro-oculographic recordings

Betta, Monica and Laurino, Marco and Gemignani, Angelo and Landi, Alberto and Menicucci, D. A Classification method for eye movements direction during REM sleep trained on wake electro-oculographic recordings. In: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), August 25-29, 2015, Milan, Italy pp. 370-373. ISSN 1558-4615. ISBN 978-1-4244-9271-8. (2015)

Full text not available from this repository.

Abstract

Rapid eye movements (REMs) are a peculiar and intriguing aspect of REM sleep, even if their physiological function still remains unclear. During this work, a new automatic tool was developed, aimed at a complete description of REMs activity during the night, both in terms of their timing of occurrence that in term of their directional properties. A classification stage of each singular movement detected during the night according to its main direction, was in fact added to our procedure of REMs detection and ocular artifact removal. A supervised classifier was constructed, using as training and validation set EOG data recorded during voluntary saccades of five healthy volunteers. Different classification methods were tested and compared. The further information about REMs directional characteristic provided by the procedure would represent a valuable tool for a deeper investigation into REMs physiological origin and functional meaning.

Item Type: Conference or Workshop Item (Paper)
Identification Number: 10.1109/EMBC.2015.7318376
Subjects: R Medicine > R Medicine (General)
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Research Area: Computer Science and Applications
Depositing User: Caterina Tangheroni
Date Deposited: 04 Sep 2017 13:48
Last Modified: 04 Sep 2017 13:48
URI: http://eprints.imtlucca.it/id/eprint/3772

Actions (login required)

Edit Item Edit Item