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ID07060079

Using Entropy to Study Sleep Breathing Problems in Adults with Chronic Respiratory Diseases

Led by University College, London · Updated on 2025-07-11

120

Participants Needed

1

Research Sites

4 weeks

Total Duration

AI-Summary

What this Trial Is About

Researchers are studying chronic respiratory diseases such as chronic obstructive pulmonary disease COPD, asthma, interstitial lung disease, bronchiectasis, and their connection with sleep-disordered breathing SDB, including obstructive sleep apnoea. The goal is to compare patients with chronic respiratory diseases who have SDB to those who do not, using a new analytical method to better understand the underlying physiological differences. This study focuses on how breathing disturbances during sleep may worsen when chronic respiratory diseases coexist with SDB. The study will analyze sleep data by measuring changes in respiratory signals entropy, oxygen saturation, and heart rate. These measurements will be collected using cardiorespiratory polygraphy during a 1-hour daytime period and overnight sleep. The research explores the use of nonlinear methods like entropy to assess irregularities in physiological signals from simple devices, such as pulse oximeters, to potentially improve screening for sleep apnoea. Participants will be adults with chronic respiratory disease, with or without SDB, and some healthy controls with previously negative studies. They will undergo sleep studies using portable monitoring devices while researchers collect data on oxygen levels, heart rate, and breathing patterns. The main outcome is to observe changes in entropy and other signals during sleep. The study duration for outcome measurement is about 2 months, starting in April 2025 and ending in September 2026.

CONDITIONS

Brief Title

The Use of Entropy to Assess Sleep Disordered Breathing in Chronic Respiratory Disease

Research Team

N

Nawal Alotaibi

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