Entropy-Based Assessment of Physiological Signals in Obstructive Sleep Apnoea Patients Pre and Post Continuous Positive Airway Pressure Therapy: A Secondary Analysis of 3DPiPPIn Trial Data
Entropy-Based Assessment of Physiological Signals in Obstructive Sleep Apnoea Patients Pre and Post Continuous Positive Airway Pressure Therapy: A Secondary Analysis of 3DPiPPIn Trial Data
This observational study is being undertaken as a part of a Master of Research (MRes) in Clinical Research programme.
Its goal is to learn about how continuous positive airway pressure (CPAP) therapy changes the complexity of body signals in adults with obstructive sleep apnoea (OSA). The main question it aims to answer is:
- How does the complexity of physiological signals (specifically oxygen saturation, heart rate, and heart rate variability) change in adults with OSA from before to after three and six months of CPAP treatment?
It will use data from individuals who took part in an earlier trial, called 3DPiPPIn, which tested the use of 3D-printed, customised masks CPAP masks through sleep studies.
The purpose of this MRes student study is primarily to examine how the entropy, or complexity as measured by entropy, of physiological signals changes in patients with obstructive sleep apnoea (OSA) in response to continuous positive airway pressure (CPAP) therapy.
It is a secondary analysis of data from 3DPiPPIn, a randomised control trial investigating the feasibility of using 3D-printing to develop customised masks for patients receiving positive airway pressure (PAP) therapy.
The hypothesis for this study is that entropy-based measures derived from physiological signals will exhibit changes following CPAP therapy, when compared to pre-therapy measures, reflecting the modulation and restoration of physiological systems that were previously disrupted by OSA.
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