Login / Signup

Investigating the nasal cycle using unilateral peak nasal inspiratory flow and acoustic rhinometry minimal cross-sectional area measurements.

Martin Fan Min TanKatherine Lisa WhitcroftNishchay MehtaAnne G M SchilderTerence S LeungPeter J Andrews
Published in: Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery (2019)
This study demonstrates the directly proportional relationship of 1/Resistance Ratio and Airflow Rate Ratio in normal nasal function. Furthermore, nasal pathology can be predicted if data points lie significantly outside these normal limits. Further studies are needed to validate exact normal and abnormal thresholds.
Keyphrases
  • chronic rhinosinusitis
  • cross sectional
  • big data
  • electronic health record
  • density functional theory
  • deep learning
  • molecular dynamics
  • case control