Early automatic detection of Parkinson's disease based on sleep recordings.

@article{Kempfner2014EarlyAD,
  title={Early automatic detection of Parkinson's disease based on sleep recordings.},
  author={Jacob Kempfner and Helge Bjarup Dissing Sorensen and Miki Nikolic and Poul Jennum},
  journal={Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society},
  year={2014},
  volume={31 5},
  pages={409-15}
}
SUMMARY Idiopathic rapid-eye-movement (REM) sleep behavior disorder (iRBD) is most likely the earliest sign of Parkinson's Disease (PD) and is characterized by REM sleep without atonia (RSWA) and consequently increased muscle activity. However, some muscle twitching in normal subjects occurs during REM sleep. PURPOSE There are no generally accepted methods for evaluation of this activity and a normal range has not been established. Consequently, there is a need for objective criteria… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 49 references

Manual for the scoring of sleep and associated events: rules, terminology and technical specification

C Iber, S Ancoli-Israel, A Chesson
Westchester, IL: AASM, • 2007
View 9 Excerpts
Highly Influenced

Determining the initial states in forward-backward filtering

IEEE Trans. Signal Processing • 1996
View 5 Excerpts
Highly Influenced

Arti fi cial neural network and wavelet based automated detection of sleep spindles , REM sleep and wake states

R Sinha
J Med Syst • 2008
View 1 Excerpt
Highly Influenced

Rapid eye movement sleep behavior disorder as an outlier detection problem.

Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society • 2014
View 1 Excerpt

Artificial neural network and wavelet based automated detection of sleep

R. Sinha
Biorobotics • 2012

Chin EMG analysis for REM sleep behavior disorders

2012 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC) • 2012

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