Trial of sleep apnea testing using a smartphone

Relationship between variables for sleep apnea estimated by tracheal sound AI-analysis on smartphone and those by polysomnography - Tracheal sound AI analysis on smartphone for sleep apnea

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000046754

Enrollment

Registered

2022-02-01

Start date

2022-02-01

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 apnea

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patient scheduled to undergo polysomnography because of suspected sleep-disordered breathing.

Exclusion criteria

Exclusion criteria: Patients who can not operate smartphones, patients whose polysomnography failed to provide sufficient data.

Design outcomes

Primary

Measure	Time frame
Agreement of sleep efficiency and apnea-hypopnea index estimated by smartphone AI-analysis with those determined by polysomnography	—

Secondary

Measure	Time frame
Agreement of sleep stages estimated by smartphone AI-analysis with those determined by polysomnography. Relationship between blood pressure in the morning and sleep efficiency / apnea-hypopnea index. Relationship between overnight blood pressure change and sleep efficiency / apnea-hypopnea index.	—

Countries

Japan

Contacts

Public ContactHiroshi Nakano

National Hospital Organization Fukuoka Hospital Sleep Disorders Center

nakano_fukuoka@yahoo.co.jp092-565-5534

Outcome results