Computer-Assisted Sleep Classification according to the Standard of the American Academy of Sleep Medicine: Validation Study of the AASM Version of the Somnolyzer 24 × 7-Reference-Cited by-同舟云学术

Computer-Assisted Sleep Classification according to the Standard of the American Academy of Sleep Medicine: Validation Study of the AASM Version of the Somnolyzer 24 × 7

Published:2010 Issue:4 Volume:62 Page:250-264
ISSN:0302-282X
Container-title:Neuropsychobiology
language:en
Short-container-title:Neuropsychobiology

Author:

Anderer Peter,Moreau Arnaud,Woertz Michael,Ross Marco,Gruber Georg,Parapatics Silvia,Loretz Erna,Heller Esther,Schmidt Andrea,Boeck Marion,Moser Doris,Kloesch Gerhard,Saletu Bernd,Saletu-Zyhlarz Gerda M.,Danker-Hopfe Heidi,Zeitlhofer Josef,Dorffner Georg

Publisher

S. Karger AG

Subject

Biological Psychiatry,Psychiatry and Mental health,Neuropsychology and Physiological Psychology

Cited by 107 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison of automated deep neural network against manual sleep stage scoring in clinical data;Computers in Biology and Medicine;2024-09

2. Validity and reliability of the Oura Ring Generation 3 (Gen3) with Oura sleep staging algorithm 2.0 (OSSA 2.0) when compared to multi-night ambulatory polysomnography: A validation study of 96 participants and 421,045 epochs;Sleep Medicine;2024-03

3. Computational ensemble expert system classification for the recognition of bruxism using physiological signals;Heliyon;2024-02

4. The Temporal Dynamics of Aperiodic Neural Activity Track Changes in Sleep Architecture;2024-01-26

5. Performance of the Alice PDx Device With the Somnolyzer Automated Scoring Algorithm for the Diagnosis of Obstructive Sleep Apnea;Cureus;2024-01-21