Abstract | ||
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•We assume that sleep fragmentation can be diagnosed from three sleep characteristics.•We mathematically model the sleep fragmentation diagnosis of three kind of clinicians.•We measure the agreement between each model and each clinician's diagnosis.•We obtain a substantial to almost perfect agreement (Cohen's kappa).•We consider each model as validated a posteriori. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1016/j.bspc.2015.10.001 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Sleep fragmentation,Sleep stages shifts,Micro-arousal rate,Intra sleep awakenings,ROC curves,Principal Component Analysis,Cohen's kappa | Receiver operating characteristic,Pattern recognition,Mean value,Physical therapy,Cohen's kappa,Artificial intelligence,SSS*,Mathematics,Pathology,Sleep Stages,Polysomnography,Obstructive sleep apnoea syndrome | Journal |
Volume | ISSN | Citations |
24 | 1746-8094 | 0 |
PageRank | References | Authors |
0.34 | 2 | 12 |
Name | Order | Citations | PageRank |
---|---|---|---|
Emna Bouazizi | 1 | 20 | 8.97 |
R. Naeck | 2 | 7 | 1.97 |
Daniel D'amore | 3 | 0 | 0.34 |
Marie-Françoise Mateo | 4 | 0 | 0.34 |
Antoine Elias | 5 | 0 | 0.34 |
Jean-Philippe Suppini | 6 | 0 | 0.34 |
Rabih A. L. I. Ahmad | 7 | 0 | 0.34 |
Adriana Raspopa | 8 | 0 | 0.34 |
Iuliana Cartacuzencu | 9 | 0 | 0.34 |
Jacques Grapperon | 10 | 0 | 0.34 |
Olivier Tible | 11 | 0 | 0.34 |
Jean-Marc Ginoux | 12 | 8 | 2.40 |