Development of a new method for detecting sleep disordered breathing using audio data from polysomnography

Development of a new method for detecting sleep disordered breathing using audio data from polysomnography - Development of a new method for detecting sleep disordered breathing using audio data from polysomnography

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000037593

Enrollment

132

Registered

2019-08-05

Start date

2019-09-01

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

sleep disordered breathing

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. There is no limit on age, sex, and medication. 2. Patients whose audio data from PSG could be analyzed

Exclusion criteria

Exclusion criteria: 1. Patients with lack of clnical and examination data

Design outcomes

Primary

Measure	Time frame
Correlation of the apnea hypopnea index (AHI) measured by the new method for detecting SDB and that measured by PSG	—

Secondary

Measure	Time frame
1. Correlation of the apnea index measured by the new method for detecting SDB and that measured by PSG 2. Correlation of the hypopnea index measured by the new method for detecting SDB and that measured by PSG	—

Countries

Japan

Contacts

Public ContactSatoshi Hamada

Graduate School of Medicine, Kyoto University Department of Advanced Medicine for Respiratory Failure

sh1124@kuhp.kyoto-u.ac.jp075-366-7689

Outcome results