TY - CHAP U1 - Konferenzveröffentlichung A1 - Gaiduk, Maksym A1 - Seepold, Ralf A1 - Martínez Madrid, Natividad ED - Conti, Massimo T1 - Classification of sleep stages: commonly used methods and main aims for the improvement T2 - AnBiPa 2016 : proceedings of the International Workshop on Analysis of Biometric Parameters to Detect Relationship between Stress and Sleep Quality : November 4, 2016, Università Politecnica delle Marche, Ancona, Italy N2 - 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. KW - sleep classification KW - polysomnography KW - actigraphy KW - sleep cycles KW - sleep stages KW - biovital data Y1 - 2017 SN - 978-88-87548-09-9 SB - 978-88-87548-09-9 SP - 15 EP - 17 S1 - 3 PB - Università Politecnica delle Marche CY - Ancona ER -