Automatic REM sleep detection associated with idiopathic rem sleep Behavior Disorder

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

Standard

Automatic REM sleep detection associated with idiopathic rem sleep Behavior Disorder. / Kempfner, J; Sørensen, Gertrud Laura; Sorensen, H B D; Jennum, P.

In: I E E E Engineering in Medicine and Biology Society. Conference Proceedings, Vol. 2011, 2011, p. 6063-6.

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

Harvard

Kempfner, J, Sørensen, GL, Sorensen, HBD & Jennum, P 2011, 'Automatic REM sleep detection associated with idiopathic rem sleep Behavior Disorder', I E E E Engineering in Medicine and Biology Society. Conference Proceedings, vol. 2011, pp. 6063-6. https://doi.org/10.1109/IEMBS.2011.6091498

APA

Kempfner, J., Sørensen, G. L., Sorensen, H. B. D., & Jennum, P. (2011). Automatic REM sleep detection associated with idiopathic rem sleep Behavior Disorder. I E E E Engineering in Medicine and Biology Society. Conference Proceedings, 2011, 6063-6. https://doi.org/10.1109/IEMBS.2011.6091498

Vancouver

Kempfner J, Sørensen GL, Sorensen HBD, Jennum P. Automatic REM sleep detection associated with idiopathic rem sleep Behavior Disorder. I E E E Engineering in Medicine and Biology Society. Conference Proceedings. 2011;2011:6063-6. https://doi.org/10.1109/IEMBS.2011.6091498

Author

Kempfner, J ; Sørensen, Gertrud Laura ; Sorensen, H B D ; Jennum, P. / Automatic REM sleep detection associated with idiopathic rem sleep Behavior Disorder. In: I E E E Engineering in Medicine and Biology Society. Conference Proceedings. 2011 ; Vol. 2011. pp. 6063-6.

Bibtex

@inproceedings{f5868b6215b6492f8a75f96cc5224860,
title = "Automatic REM sleep detection associated with idiopathic rem sleep Behavior Disorder",
abstract = "Rapid eye movement sleep Behavior Disorder (RBD) is a strong early marker of later development of Parkinsonism. Currently there are no objective methods to identify and discriminate abnormal from normal motor activity during REM sleep. Therefore, a REM sleep detection without the use of chin electromyography (EMG) is useful. This is addressed by analyzing the classification performance when implementing two automatic REM sleep detectors. The first detector uses the electroencephalography (EEG), electrooculography (EOG) and EMG to detect REM sleep, while the second detector only uses the EEG and EOG.",
author = "J Kempfner and S{\o}rensen, {Gertrud Laura} and Sorensen, {H B D} and P Jennum",
year = "2011",
doi = "10.1109/IEMBS.2011.6091498",
language = "English",
volume = "2011",
pages = "6063--6",
journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
issn = "0589-1019",
publisher = "IEEE Signal Processing Society",

}

RIS

TY - GEN

T1 - Automatic REM sleep detection associated with idiopathic rem sleep Behavior Disorder

AU - Kempfner, J

AU - Sørensen, Gertrud Laura

AU - Sorensen, H B D

AU - Jennum, P

PY - 2011

Y1 - 2011

N2 - Rapid eye movement sleep Behavior Disorder (RBD) is a strong early marker of later development of Parkinsonism. Currently there are no objective methods to identify and discriminate abnormal from normal motor activity during REM sleep. Therefore, a REM sleep detection without the use of chin electromyography (EMG) is useful. This is addressed by analyzing the classification performance when implementing two automatic REM sleep detectors. The first detector uses the electroencephalography (EEG), electrooculography (EOG) and EMG to detect REM sleep, while the second detector only uses the EEG and EOG.

AB - Rapid eye movement sleep Behavior Disorder (RBD) is a strong early marker of later development of Parkinsonism. Currently there are no objective methods to identify and discriminate abnormal from normal motor activity during REM sleep. Therefore, a REM sleep detection without the use of chin electromyography (EMG) is useful. This is addressed by analyzing the classification performance when implementing two automatic REM sleep detectors. The first detector uses the electroencephalography (EEG), electrooculography (EOG) and EMG to detect REM sleep, while the second detector only uses the EEG and EOG.

U2 - 10.1109/IEMBS.2011.6091498

DO - 10.1109/IEMBS.2011.6091498

M3 - Conference article

VL - 2011

SP - 6063

EP - 6066

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 -

ID: 40162561