| Unique ID issued by UMIN | UMIN000059550 |
|---|---|
| Receipt number | R000068115 |
| Scientific Title | Prospective validation of automatic sleep staging using an EEG-based depth of anesthesia monitor and an open-source sleep staging toolbox |
| Date of disclosure of the study information | 2025/10/28 |
| Last modified on | 2025/10/27 13:30:57 |
Prospective validation of automatic sleep staging using an EEG-based depth of anesthesia monitor and an open-source sleep staging toolbox
Prospective validation of automatic sleep staging using an EEG-based depth of anesthesia monitor and an open-source sleep staging toolbox
Prospective validation of automatic sleep staging using an EEG-based depth of anesthesia monitor and an open-source sleep staging toolbox
Prospective validation of automatic sleep staging using an EEG-based depth of anesthesia monitor and an open-source sleep staging toolbox
| Japan |
Sleep disorders
| Medicine in general | Cardiology | Pneumology |
Others
NO
The objective of this study is to evaluate the accuracy of automatic sleep staging using electroencephalographic (EEG) signals obtained from an EEG-based depth of anesthesia monitor, SedLine(R), and analyzed with an open-source automatic sleep staging toolbox, YASA.
The accuracy will be assessed by comparing the YASA-based sleep staging results with those obtained from polysomnography (PSG).
In patients suspected of having sleep disorders who undergo PSG, SedLine will be applied simultaneously. EEG signals collected from SedLine will be analyzed for sleep stages using the YASA algorithm. The PSG-based sleep staging results will then be compared with those derived from SedLine. The primary outcome will be the level of agreement between the two sleep staging methods, expressed as Cohen's kappa coefficient.
Efficacy
Cohen's kappa.
sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).
Observational
| 18 | years-old | <= |
| Not applicable |
Male and Female
1. Adults aged 18 years or older at the time of obtaining informed consent
2. Patients scheduled to undergo polysomnography
1. Patients who are unable or unwilling to provide informed consent
2. Patients with central nervous system disorders (e.g., cognitive impairment, epilepsy, brain tumour, or psychiatric disorders)
3. Patients who are highly likely to be unable to remain still during the examination
7
| 1st name | Takayuki |
| Middle name | |
| Last name | Hasegawa |
Fukushima Medical University
Department of Anesthesiology
9601295
1 Hikarigaoka, Fukushima City, Fukushima, JAPAN
0245471111
masui@fmu.ac.jp
| 1st name | Takayuki |
| Middle name | |
| Last name | Hasegawa |
Fukushima Medical University
Department of Anesthesiology
9601295
1 Hikarigaoka, Fukushima City, Fukushima, JAPAN
0245471111
masui@fmu.ac.jp
Fukushima Medical University
Fukushima Medical University
Self funding
Fukushima Medical University Research Ethics Committee
1 Hikarigaoka, Fukushima city, Fukushima
024-547-1825
fmurec@fmu.ac.jp
NO
| 2025 | Year | 10 | Month | 28 | Day |
Unpublished
Preinitiation
| 2025 | Year | 10 | Month | 27 | Day |
| 2025 | Year | 10 | Month | 27 | Day |
| 2025 | Year | 10 | Month | 29 | Day |
| 2030 | Year | 08 | Month | 31 | Day |
Before initiation
| 2025 | Year | 10 | Month | 27 | Day |
| 2025 | Year | 10 | Month | 27 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000068115