Diagnostic Accuracy of SleepImage Technology for Detecting Respiratory Failure in Patients With Amyotrophic Lateral Sclerosis
NCT07502677 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 15
Last updated 2026-03-31
Summary
The specific aim of this study is to try to discover the diagnostic accuracy of SleepImage technology for detecting respiratory failure in patients with MND. Importantly, this research project is not about NIV, it is about what method can most efficiently decide when to start NIV.
To do this we'd like to collect data about you and your breathing from the SleepImage device when you come in for your routine overnight sleep study. We will compare this against the data that we would collect anyway.
Conditions
Interventions
- DEVICE
-
SleepImage
SleepImage Device
Sponsors & Collaborators
-
Royal Brompton & Harefield NHS Foundation Trust
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-03-24
- Primary Completion
- 2026-09-01
- Completion
- 2027-03-24
- FDA Device
- Yes
Countries
- United Kingdom
Study Locations
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