TY  - JOUR
U1  - Wissenschaftlicher Artikel
A1  - Gaiduk, Maksym
A1  - Serrano Alarcón, Ángel
A1  - Seepold, Ralf
A1  - Martínez Madrid, Natividad
T1  - Current status and prospects of automatic sleep stages scoring: Review
JF  - Biomedical engineering letters
N2  - The scoring of sleep stages is one of the essential tasks in sleep analysis. Since a manual procedure requires considerable human and financial resources, and incorporates some subjectivity, an automated approach could result in several advantages. There have been many developments in this area, and in order to provide a comprehensive overview, it is essential to review relevant recent works and summarise the characteristics of the approaches, which is the main aim of this article. To achieve it, we examined articles published between 2018 and 2022 that dealt with the automated scoring of sleep stages. In the final selection for in-depth analysis, 125 articles were included after reviewing a total of 515 publications. The results revealed that automatic scoring demonstrates good quality (with Cohen's kappa up to over 0.80 and accuracy up to over 90%) in analysing EEG/EEG + EOG + EMG signals. At the same time, it should be noted that there has been no breakthrough in the quality of results using these signals in recent years. Systems involving other signals that could potentially be acquired more conveniently for the user (e.g. respiratory, cardiac or movement signals) remain more challenging in the implementation with a high level of reliability but have considerable innovation capability. In general, automatic sleep stage scoring has excellent potential to assist medical professionals while providing an objective assessment.
KW  - automatic sleep assessment
KW  - sleep scoring
KW  - physiological signals
KW  - sleep stages
Y1  - 2023
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-44864
SN  - 2093-9868
SS  - 2093-9868
U6  - https://doi.org/10.1007/s13534-023-00299-3
DO  - https://doi.org/10.1007/s13534-023-00299-3
VL  - 13
SP  - 247
EP  - 272
S1  - 26
PB  - Springer
CY  - Berlin
ER  -