Automatic detection of REM sleep in subjects without atonia

Jacob Kempfner; Poul Jennum; Miki Nikolic; Julie A. E. 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, Julie A. E. Christensen, Helge B. D. Sorensen

Glostrup University Hospital

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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
Title of host publication	IEEE Engineering in medicine and biology society conference proceedings
Publisher	IEEE
Publication date	2012
Pages	4242 - 4245
ISBN (Print)	978-1-4244-4119-8
DOIs	https://doi.org/10.1109/EMBC.2012.6346903
Publication status	Published - 2012
Event	34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Hilton Bayfront Hotel, San Diego, United States Duration: 28 Aug 2012 → 1 Sept 2012 Conference number: 34

Conference

Conference	34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Number	34
Location	Hilton Bayfront Hotel
Country/Territory	United States
City	San Diego
Period	28/08/2012 → 01/09/2012

Keywords

Bioengineering
Communication, Networking & Broadcasting
Components, Circuits, Devices & Systems
Computing & Processing (Hardware/Software)
Signal Processing & Analysis

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10.1109/EMBC.2012.6346903

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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.",

keywords = "Bioengineering, Communication, Networking & Broadcasting, Components, Circuits, Devices & Systems , Computing & Processing (Hardware/Software), Signal Processing & Analysis ",

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

year = "2012",

doi = "10.1109/EMBC.2012.6346903",

language = "English",

isbn = "978-1-4244-4119-8",

pages = "4242 -- 4245",

booktitle = "IEEE Engineering in medicine and biology society conference proceedings",

publisher = "IEEE",

address = "United States",

note = "34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012 ; Conference date: 28-08-2012 Through 01-09-2012",

}

Kempfner, J, Jennum, P, Nikolic, M, Christensen, JAE & Sorensen, HBD 2012, Automatic detection of REM sleep in subjects without atonia. in IEEE Engineering in medicine and biology society conference proceedings. IEEE, pp. 4242 - 4245, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, California, United States, 28/08/2012. https://doi.org/10.1109/EMBC.2012.6346903

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T1 - Automatic detection of REM sleep in subjects without atonia

AU - Kempfner, Jacob

AU - Jennum, Poul

AU - Nikolic, Miki

AU - Christensen, Julie A. E.

AU - Sorensen, Helge B. D.

N1 - Conference code: 34

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.

KW - Bioengineering

KW - Communication, Networking & Broadcasting

KW - Components, Circuits, Devices & Systems

KW - Computing & Processing (Hardware/Software)

KW - Signal Processing & Analysis

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DO - 10.1109/EMBC.2012.6346903

M3 - Article in proceedings

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SN - 978-1-4244-4119-8

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EP - 4245

BT - IEEE Engineering in medicine and biology society conference proceedings

PB - IEEE

T2 - 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 28 August 2012 through 1 September 2012

ER -

Automatic detection of REM sleep in subjects without atonia

Abstract

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Keywords

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