eprintid: 3774
rev_number: 6
eprint_status: archive
userid: 69
dir: disk0/00/00/37/74
datestamp: 2017-09-04 13:57:00
lastmod: 2017-09-04 13:57:00
status_changed: 2017-09-04 13:57:00
type: conference_item
metadata_visibility: show
creators_name: Betta, Monica
creators_name: Gemignani, Angelo
creators_name: Landi, Alberto
creators_name: Laurino, Marco
creators_name: Piaggi, Paolo
creators_name: Menicucci, Danilo
creators_id: monica.betta@imtlucca.it
creators_id: 
creators_id: 
creators_id: 
creators_id: 
creators_id: 
title: Detection and removal of ocular artifacts from EEG signals for an automated REM sleep analysis
ispublished: inpress
subjects: R1
subjects: RC0321
divisions: CSA
full_text_status: none
pres_type: paper
abstract: Rapid eye movements (REMs) are a prominent feature of REM sleep, and their distribution and time density over the night represent important physiological and clinical parameters. At the same time, REMs produce substantial distortions on the electroencephalographic (EEG) signals, which strongly affect the significance of normal REM sleep quantitative study. In this work a new procedure for a complete and automated analysis of REM sleep is proposed, which includes both a REMs detection algorithm and an ocular artifact removal system. The two steps, based respectively on Wavelet Transform and adaptive filtering, are fully integrated and their performance is evaluated using REM simulated signals. Thanks to the integration with the detection algorithm, the proposed artifact removal system shows an enhanced accuracy in the recovering of the true EEG signal, compared to a system based on the adaptive filtering only. Finally the artifact removal system is applied to physiological data and an estimation of the actual distortion induced by REMs on EEG signals is supplied.
date: 2013
date_type: published
publisher: IEEE
pagerange: 5079-5082
event_title: 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
event_location: Osaka, Japan
event_dates: July 3-7, 2013
event_type: conference
id_number: doi:10.1109/EMBC.2013.6610690
refereed: TRUE
isbn: 978-1-4577-0216-7
issn: 1558-4615
book_title: 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
official_url: http://doi.org/10.1109/EMBC.2013.6610690
citation:   Betta, Monica and Gemignani, Angelo and Landi, Alberto and Laurino, Marco and Piaggi, Paolo and Menicucci, Danilo  Detection and removal of ocular artifacts from EEG signals for an automated REM sleep analysis.  In: 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 3-7, 2013, Osaka, Japan pp. 5079-5082. ISSN 1558-4615. ISBN 978-1-4577-0216-7.    (In Press)   (2013)