Detection of the nasal cycle in daily activity by remote evaluation of nasal sound.
OBJECTIVE
To detect the nasal cycle in healthy subjects while they were performing their daily activities, using the Odiosoft-Rhino (OR) software program and to investigate the ability of the OR program to perform this procedure.


METHODS
Prospective analysis.


METHODS
Tertiary referral center.


METHODS
Twenty healthy adult volunteers.


METHODS
Investigation of the nasal cycles of volunteers by the OR program every 30 minutes over a period of 12 hours on 4 different days in the same week. Each subject performed expiration every 30 minutes into a microphone, and the nasal sounds were recorded separately for each nasal cavity.


METHODS
The OR data collected during 12 hours for 4 days were analyzed for cyclic nasal obstruction.


RESULTS
The nasal sounds were calculated for each of the nasal cavities and a 2000- to 4000-Hz frequency interval was used for evaluation. In all of the individuals investigated in this study, a cyclic change of nasal patency was detected by the OR program. All of the data were calculated to be significantly different for each nasal cavity (P < .05 for all comparisons). Changes of nasal sounds and comparison of the 2 sides demonstrated that the total amount of cyclic changes ranged between 30 minutes and 2 to 2.5 hours.


CONCLUSIONS
With the help of the OR program, we detected the nasal cycles in all of the volunteers, and the periods were not less than 30 minutes or more than 2.5 hours. Because the data collection period was long and the patient compliance was maximal, we believe that the results in the study are more reliable and natural.
Tahamiler
Rauf
R
Otorhinolaryngology Department, Cerrahpasa Medical School, Istanbul University, Istanbul, Turkey. tahamiler@gmail.com
Yener
Murat
M
Canakcioglu
Salih
S
D000328:Adult; D005260:Female; D006801:Humans; D008297:Male; D009296:Nasal Cavity / Q000502:physiology*; D010349:Patient Compliance; D010507:Periodicity; D011446:Prospective Studies; D012143:Respiratory Physiological Phenomena; D012984:Software; D013016:Sound