Ignite Creation Date:
2025-12-26 @ 1:18 PM
Ignite Modification Date:
2025-12-26 @ 1:18 PM
Study NCT ID:
NCT06038006
Status:
UNKNOWN
Last Update Posted:
2023-09-14
First Post:
2023-09-08
Is NOT Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
A Clinical Trial Evaluating the Effectiveness and Safety of a mmWave Radar Based Sleep Respiratory Monitoring System
Sponsor:
Changsha Tsingray Technology Co., Ltd.
Organization:
Study Overview
Official Title:
A Clinical Trial Evaluating the Effectiveness and Safety of a Millimeter-Wave Radar Based Sleep Respiratory Monitoring System
Status:
UNKNOWN
Status Verified Date:
2023-09
Last Known Status:
RECRUITING
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
This study compares the diagnostic capability of a millimeter-wave radar-based Sleep Respiratory Monitoring System to the gold standard polysomnography.
Detailed Description:
The gold standard for the diagnosis of sleep breathing disorders is polysomnography (PSG), which requires contact sensors, in-lab monitoring and manual scoring by experts, limiting the comfortability of patients and accessibility of diagnosis. A novel contactless millimeter-wave radar-based Sleep Respiratory Monitoring System is developed, in order to assist sleep staging and the diagnosis of sleep breathing disorders.
The Sleep Respiratory Monitoring System is capable of collecting, recording, storing and analyzing breathing, heartbeat, spatial distribution of full-body movements, etc. via a millimeter-wave radar, and oxygen saturation, pulse, etc. via a pulse oximeter. A dedicated algorithm enables the system to detect respiratory events and estimate sleep stages based on the collected data. The device and algorithms are to be validated in this study by comparison with PSG.
The Sleep Respiratory Monitoring System is capable of collecting, recording, storing and analyzing breathing, heartbeat, spatial distribution of full-body movements, etc. via a millimeter-wave radar, and oxygen saturation, pulse, etc. via a pulse oximeter. A dedicated algorithm enables the system to detect respiratory events and estimate sleep stages based on the collected data. The device and algorithms are to be validated in this study by comparison with PSG.
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: