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

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000059550

Enrollment

Registered

2025-10-28

Start date

2025-10-30

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Sleep disorders

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. Adults aged 18 years or older at the time of obtaining informed consent 2. Patients scheduled to undergo polysomnography

Exclusion criteria

Exclusion criteria: 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

Design outcomes

Primary

Measure	Time frame
Cohen's kappa.	—

Secondary

Measure	Time frame
sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).	—

Countries

Japan

Contacts

Public ContactTakayuki Hasegawa

Fukushima Medical University Department of Anesthesiology

masui@fmu.ac.jp0245471111

Outcome results