Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Entropy-based Physiological Signal Analysis in Patients With Obstructive Sleep Apnoea

King's College London · 2026
ClinicalTrials.gov · Datasets · License: Public Domain · 2026
Open Source ↗
entropy
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.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1073939
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive