ClinicalTrials.gov
public full text
Public Domain
Pharyngeal Sensitivity in Diagnosis Algorithm for Sleep Apnea Syndrome
Pharyngeal sensitivity is a determinant parameter of pharyngeal functioning, particularly regarding protective dilator reflexes of upper airway. Preliminary results have suggested that the use of this parameter in diagnosis algorithm such as linear discriminant analysis and random forest could predict the presence of sleep apnea syndrome in almost 98% of patients. Our study aims at validating a new diagnosis method of sleep disordered breathing which will be compared with nocturnal polysomnography, the reference method to diagnose sleep disordered breathing. Pharyngeal sensitivity will be measured using the SENSITEST device which allows an automatic measurement of the pharyngeal sensation. The use of this parameter in diagnosis algorithm will be compared with polysomnographic results.
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
- Artificial intelligence applications in CBCT-based assessment of craniofacial airway volume and shape in sleep-disordered breathing: a systematic review.#298842
- Early Warning System for Allergic Rhinitis in the MASK-air® App#875888
- Comparison of the Laryngeal Mask Ambu Aura-i Versus AirQ in Children#810141
- Predict Transpulmonary Pressure Through ZAM#1059466
- Continuous Positive Airway Pressure (CPAP) Compliance in Obstructive Sleep Apnea#1150180
Record · ID 1057453
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
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
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive