| Title |
Morphophysiological Metrics Analysis Using Thermal Imaging-Based Nasal Expiratory Airflow |
| Authors |
민지희(Jihee Min) ; 김주현(Juhyun Kim) ; 이언석(Onseok Lee) |
| DOI |
https://doi.org/10.5370/KIEE.2026.75.7.1601 |
| Keywords |
Nasal Airflow; Thermal Imaging; Exhalation; Metrics Analysis; Polynomial Fitting; Morphophysiology |
| Abstract |
Nasal obstruction reduces nasal airflow and induces mouth breathing. Conventional tests (anterior rhinoscopy, computed tomography) are limited by examiner dependence, radiation, and capture of flow dynamics. We quantified nasal expiratory airflow from thermal videos of 35 adults. After Otsu segmentation, the nostrils were separated and the lowest endpoint of the exhaled thermal plume was tracked. Trajectories were fitted with parametric polynomials using a normalized parameter u∈[0,1]; degree (1-10) was selected by Ridge regression with 5-fold CV. We extracted morphological and physiological features for the analysis. Features were clustered by k-means (elbow: k=2). Max acceleration, mean curvature, degree, and extrema count differed, with Cluster 0 showing more complex, rapidly varying flows overall. Through this analysis, we aimed to propose quantitative indicators that can be used to assess nasal function. These findings is expected to contribute to clinical screening and monitoring. |