Entropy and sleep disordered breathing in Chronic respiratory diseases
Research type
Research Study
Full title
The use of Entropy to assess sleep disordered breathing in chronic respiratory disease
IRAS ID
345082
Contact name
Swapna Mandal
Contact email
Sponsor organisation
University College London
Clinicaltrials.gov Identifier
Z6364106/2023/12/10, The UCL data registration number
Duration of Study in the UK
1 years, 5 months, 3 days
Research summary
Sleep disordered breathing (SDB) refers to a range of conditions, the most common of these is obstructive sleep apnoea. In obstructive sleep apnoea periodic pauses in breathing (apnoea), results in low blood oxygen levels. In order to detect these disorders patients often have to undertake a sleep study which involves measuring oxygen levels, heart rate and breathing, using complex equipment. This can take many months, due to significant demands on sleep services across the UK. We have undertaken some work that has demonstrated that by using entropy analysis we can use heart rate or oxygen levels to determine if someone has sleep disordered breathing and the degree of severity of sleep disordered breathing, this data also gives us greater understanding in the interactions between physiological measurements.
SDB may co-exist with chronic respiratory disorders (including chronic obstructive pulmonary disease, asthma, interstitial lung disease and bronchiectasis), which may take a long time to identify and diagnose. Therefore, we aim to determine whether entropy analysis can provide detailed information about the physiological signals of healthy subjects compared to those with chronic respiratory disease, with or without SDB.
REC name
North West - Greater Manchester Central Research Ethics Committee
REC reference
24/NW/0388
Date of REC Opinion
13 Jan 2025
REC opinion
Further Information Favourable Opinion