Diagnostic Accuracy of SleepImage Technology for Detecting Respiratory Failure in Patients With Amyotrophic Lateral Sclerosis
Royal Brompton & Harefield NHS Foundation Trust
15 participants
Mar 24, 2026
OBSERVATIONAL
Conditions
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.
Eligibility
Inclusion Criteria1
- Patients aged 18 and over with a Neurologist confirmed diagnosis of ALS
Exclusion Criteria4
- Patients with known respiratory disease
- Unstable cardiac disease, stable hypertension or ischaemic heart disease
- Current NIV use
- Inability to give consent (expected \~15% due to frontotemporal dementia)
Interested in this trial?
Get notified about updates and connect with the research team.
Interventions
SleepImage Device
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT07502677