2 results match your criteria: "Sleep Center and Clinical Neurophysiology Department[Affiliation]"
Computer-assisted analysis of polysomnographic recordings improves inter-scorer associated agreement and scoring times.
PLoS One
October 2022
Sleep Center and Clinical Neurophysiology Department, Haaglanden Medisch Centrum, The Hague, The Netherlands.
Study Objectives: To investigate inter-scorer agreement and scoring time differences associated with visual and computer-assisted analysis of polysomnographic (PSG) recordings.
Methods: A group of 12 expert scorers reviewed 5 PSGs that were independently selected in the context of each of the following tasks: (i) sleep staging, (ii) scoring of leg movements, (iii) detection of respiratory (apneic-related) events, and (iv) of electroencephalographic (EEG) arousals. All scorers independently reviewed the same recordings, hence resulting in 20 scoring exercises per scorer from an equal amount of different subjects.
Large-scale validation of an automatic EEG arousal detection algorithm using different heterogeneous databases.
Sleep Med
May 2019
Computer Science Department, University of A Coruña, A Coruña, Spain.
Objective: To assess the validity of an automatic EEG arousal detection algorithm using large patient samples and different heterogeneous databases.
Methods: Automatic scorings were confronted with results from human expert scorers on a total of 2768 full-night PSG recordings obtained from two different databases. Of them, 472 recordings were obtained during a clinical routine at our sleep center and were subdivided into two subgroups of 220 (HMC-S) and 252 (HMC-M) recordings each, according to the procedure followed by the clinical expert during the visual review (semi-automatic or purely manual, respectively).