Classification of iRBD and Parkinson's disease patients based on eye movements during sleep

Julie Anja Engelhard Christensen, Henriette Koch, Rune Frandsen, Jacob Kempfner, Lars Johan Arvastson, Søren Ro Christensen, Helge Bjarup Dissing Sørensen, Poul Jennum

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Patients suffering from the sleep disorder idiopathic rapid-eye-movement sleep behavior disorder (iRBD) have been observed to be in high risk of developing Parkinson's disease (PD). This makes it essential to analyze them in the search for PD biomarkers. This study aims at classifying patients suffering from iRBD or PD based on features reflecting eye movements (EMs) during sleep. A Latent Dirichlet Allocation (LDA) topic model was developed based on features extracted from two electrooculographic (EOG) signals measured as parts in full night polysomnographic (PSG) recordings from ten control subjects. The trained model was tested on ten other control subjects, ten iRBD patients and ten PD patients, obtaining a EM topic mixture diagram for each subject in the test dataset. Three features were extracted from the topic mixture diagrams, reflecting “certainty”, “fragmentation” and “stability” in the timely distribution of the EM topics. Using a Naive Bayes (NB) classifier and the features “certainty” and “stability” yielded the best classification result and the subjects were classified with a sensitivity of 95 %, a specificity of 80% and an accuracy of 90 %. This study demonstrates in a data-driven approach, that iRBD and PD patients may exhibit abnorm form and/or timely distribution of EMs during sleep.
Original languageEnglish
Title of host publication2013 35th Annual International Conference of the IEEE Engineering in medicine and biology society conference proceedings
PublisherIEEE
Publication date2013
Pages441-444
ISBN (Print)978-1-4577-0216-7
DOIs
Publication statusPublished - 2013
Event2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Oaska International Convention Center, Osaka, Japan
Duration: 3 Jul 20137 Jul 2013

Conference

Conference2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
LocationOaska International Convention Center
CountryJapan
CityOsaka
Period03/07/201307/07/2013

Keywords

  • Bayes methods
  • diseases
  • electro-oculography
  • feature extraction
  • medical disorders
  • medical signal processing
  • signal classification
  • sleep
  • Engineered Materials, Dielectrics and Plasmas

Fingerprint Dive into the research topics of 'Classification of iRBD and Parkinson's disease patients based on eye movements during sleep'. Together they form a unique fingerprint.

Cite this