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Verification of the Utility of Sleep Respiratory Event Detection Using the Smartphone Application "SAS'Eye"

Verification of Sleep Respiratory Event Detection Using the Smartphone Application "SAS'Eye": A Comparison of Accuracy with Polysomnography - Verification of Sleep Respiratory Event Detection Using the Smartphone Application "SAS'Eye": A Comparison of Accuracy with Polysomnography

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000056235
Enrollment
300
Registered
2024-11-25
Start date
2024-12-01
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

Patients with Suspected Sleep Disorders

Interventions

None listed

Sponsors

National Center of Neurology and Psychiatry
Lead Sponsor
D&#39
Collaborator
isum Inc.
Collaborator

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Participants will include individuals who undergo PSG testing at our hospital from the research start date (December 1st, 2024 planning) until March 31, 2026, and who have not indicated refusal for the use or provision of their medical information for this research purpose. Note that minors will not be included in this study.

Exclusion criteria

Exclusion criteria: Individuals who have indicated refusal for the use or provision of their medical information, and those deemed ineligible by the principal investigator or co-investigators.

Design outcomes

Primary

MeasureTime frame
1 Screening capability for mild or more severe SAS cases analyzed using the SAS'Eye algorithm 2 AHI more than or equal 5 indicating mild or more severe SAS detected through analysis using Sleepware G3 which is automated analysis software by Philips from measurements taken by polysomnography. Evaluate the concordance between 1 and 2.

Secondary

MeasureTime frame
1 SAS events which are OSA, CSA, and Hypopnea detected by the SAS'Eye algorithm 2 SAS events which are OSA, CSA, and Hypopnea detected through analysis using Sleepware G3 which is automated analysis software by Philips from measurements taken by PSG Evaluate the concordance between 1 and 2

Countries

Japan

Contacts

Public ContactTomohiro Utsumi

National Center of Neurology and Psychiatry Department of Sleep-Wake Disorders, National Institute of Mental Health

t-utsumi@ncnp.go.jp0423462014

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026