Automatic detection of REM sleep in subjects without atonia

Jacob Kempfner; Poul Jennum; Miki Nikolic; Gitte Julie Christensen; Helge B D Sorensen

doi:10.1109/EMBC.2012.6346903

Automatic detection of REM sleep in subjects without atonia

Jacob Kempfner, Poul Jennum, Miki Nikolic, Gitte Julie Christensen, Helge B D Sorensen

Research output: Contribution to journal › Journal article › peer-review

5 Citations (Scopus)

Abstract

Idiopathic Rapid-Rye-Movement (REM) sleep Behavior Disorder (iRBD) is a strong early marker of Parkinson's Disease and is characterized by REM sleep without atonia (RSWA) and increased phasic muscle activity. Current proposed methods for detecting RSWA assume the presence of a manually scored hypnogram. In this study a full automatic REM sleep detector, using the EOG and EEG channels, is proposed. Based on statistical features, combined with subject specific feature scaling and post-processing of the classifier output, it was possible to obtain an mean accuracy of 0.96 with a mean sensititvity and specificity of 0.94 and 0.96 respectively.

Original language	English
Journal	I E E E Engineering in Medicine and Biology Society. Conference Proceedings
Volume	2012
Pages (from-to)	4242-5
Number of pages	4
ISSN	2375-7477
DOIs	https://doi.org/10.1109/EMBC.2012.6346903
Publication status	Published - 2012

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10.1109/EMBC.2012.6346903

Cite this

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title = "Automatic detection of REM sleep in subjects without atonia",

abstract = "Idiopathic Rapid-Rye-Movement (REM) sleep Behavior Disorder (iRBD) is a strong early marker of Parkinson's Disease and is characterized by REM sleep without atonia (RSWA) and increased phasic muscle activity. Current proposed methods for detecting RSWA assume the presence of a manually scored hypnogram. In this study a full automatic REM sleep detector, using the EOG and EEG channels, is proposed. Based on statistical features, combined with subject specific feature scaling and post-processing of the classifier output, it was possible to obtain an mean accuracy of 0.96 with a mean sensititvity and specificity of 0.94 and 0.96 respectively.",

author = "Jacob Kempfner and Poul Jennum and Miki Nikolic and Christensen, {Gitte Julie} and Sorensen, {Helge B D}",

year = "2012",

doi = "10.1109/EMBC.2012.6346903",

language = "English",

volume = "2012",

pages = "4242--5",

journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

issn = "0589-1019",

publisher = "IEEE Signal Processing Society",

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TY - JOUR

T1 - Automatic detection of REM sleep in subjects without atonia

AU - Kempfner, Jacob

AU - Jennum, Poul

AU - Nikolic, Miki

AU - Christensen, Gitte Julie

AU - Sorensen, Helge B D

PY - 2012

Y1 - 2012

N2 - Idiopathic Rapid-Rye-Movement (REM) sleep Behavior Disorder (iRBD) is a strong early marker of Parkinson's Disease and is characterized by REM sleep without atonia (RSWA) and increased phasic muscle activity. Current proposed methods for detecting RSWA assume the presence of a manually scored hypnogram. In this study a full automatic REM sleep detector, using the EOG and EEG channels, is proposed. Based on statistical features, combined with subject specific feature scaling and post-processing of the classifier output, it was possible to obtain an mean accuracy of 0.96 with a mean sensititvity and specificity of 0.94 and 0.96 respectively.

AB - Idiopathic Rapid-Rye-Movement (REM) sleep Behavior Disorder (iRBD) is a strong early marker of Parkinson's Disease and is characterized by REM sleep without atonia (RSWA) and increased phasic muscle activity. Current proposed methods for detecting RSWA assume the presence of a manually scored hypnogram. In this study a full automatic REM sleep detector, using the EOG and EEG channels, is proposed. Based on statistical features, combined with subject specific feature scaling and post-processing of the classifier output, it was possible to obtain an mean accuracy of 0.96 with a mean sensititvity and specificity of 0.94 and 0.96 respectively.

U2 - 10.1109/EMBC.2012.6346903

DO - 10.1109/EMBC.2012.6346903

M3 - Journal article

C2 - 23366864

VL - 2012

SP - 4242

EP - 4245

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

SN - 0589-1019

ER -