@inproceedings{GaidukSeepoldMart{\´i}nez Madrid2017,
  author    = {Gaiduk, Maksym and Seepold, Ralf and Mart{\´i}nez Madrid, Natividad},
  title     = {Classification of sleep stages: commonly used methods and main aims for the improvement},
  booktitle = {AnBiPa 2016 : proceedings of the International Workshop on Analysis of Biometric Parameters to Detect Relationship between Stress and Sleep Quality : November 4, 2016, Universit{\`a} Politecnica delle Marche, Ancona, Italy},
  editor    = {Conti, Massimo},
  isbn      = {978-88-87548-09-9},
  institution = {Informatik},
  pages     = {15 -- 17},
  year      = {2017},
  abstract  = {To analyze the humans' sleep it is necessary as to identify the sleep stages, occurring during the sleep, their durations and sleep cycles. The gold standard procedure for this approach is polysomnography (PSG), which classify the sleep stages based on Rechtschaffen and Kales (R-K) method. This method aside the advantages as high accuracy has however some disadvantages, among others time-consuming and uncomfortable for the patient procedure. Therefore, the development of further methods for the sleep classification in addition to PSG is a promising topic for the investigation and this work has as its aim the presentation of possible ways and goals for this development.},
  language  = {en}
}