EligibleTrials

Mathematical Analysis of Signals and Clinical Parameters Provided by Non-invasive Home Ventilation Devices

Recruiting · NCT07267104 · Observational (researchers observe without assigning treatment) · Lead sponsor: Corporacion Parc Tauli

View the official record on ClinicalTrials.gov →
COPD

Interventions studied

The intervention involves download data of ventilator with clinical dates of the patient and model ventilator and parameters in acute exacebartion fo COPD

What this trial is about

This study will look at people with COPD who use a home breathing machine called non-invasive ventilation (NIV). NIV machines collect information about your breathing, such as air flow, pressure, and mask leaks. Researchers want to use a computer program, called artificial intelligence (AI), to study this information. The goal is to find early signs that your breathing may be getting worse. People with COPD who already use NIV at home may join this study. The study does not change your treatment. It only uses the breathing data already recorded by your NIV machine. The computer program will look for patterns in the data. These patterns may help doctors: Notice early warning signs of a COPD flare-up Find problems with how you and the machine work together Improve the way NIV is monitored at home The main goal is to create a tool that helps patients and doctors manage home NIV more easily and more safely.

Who can take part

Age range
40 Years to 80 Years
Sex
All (male and female)
Healthy volunteers
No - a diagnosis or condition is required
Phase
Not specified
Study type
Observational (researchers observe without assigning treatment)

Inclusion criteria

Exclusion criteria

Where it is running

1 location listed.

Read the full protocol, contacts and eligibility on ClinicalTrials.gov →

Get notified when new trials open

One email when new recruiting trials are added. Unsubscribe anytime.