Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Computer analyses of Rohrer's coefficients.

T Unno, H Horikawa, H Yazima

    Auris, Nasus, Larynx
    |January 1, 1979
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Unique clinical and serological features of bullous pemphigoid associated with dipeptidyl peptidase-4 inhibitors.

    The British journal of dermatology·2018
    Same author

    Antioxidative Activity of Water Extracts of Lagerstroemia speciosa Leaves.

    Bioscience, biotechnology, and biochemistry·2016
    Same author

    Effects of Cosmetic Therapy on Cognitive Function in Elderly Women Evaluated by Time-Resolved Spectroscopy Study.

    Advances in experimental medicine and biology·2016
    Same author

    The observation indicator induced from gastrointestinal stromal tumor under long-term monitoring by endoscopic ultrasonography.

    Endoscopic ultrasound·2015
    Same author

    A case of gastric aberrant pancreas with bleeding and diagnosed by endoscopic ultrasonography.

    Endoscopic ultrasound·2015
    Same author

    Sinistral portal hypertension after pancreaticoduodenectomy with splenic vein ligation.

    The British journal of surgery·2014
    Same journal

    Hypopharyngeal cancer in which endoscopic ultrasound was useful for determining the treatment strategy.

    Auris, nasus, larynx·2026
    Same journal

    Tetanus mimicking post-radiotherapy dysphagia in a head and neck cancer survivor:A case report with institutional review.

    Auris, nasus, larynx·2026
    Same journal

    Stepwise surgical management of severe dysphagia in multiple system atrophy.

    Auris, nasus, larynx·2026
    Same journal

    Diagnostic value of black spots and granular changes in pretreatment endoscopic evaluation of chronic epipharyngitis.

    Auris, nasus, larynx·2026
    Same journal

    A nationwide multicenter cohort study of airway management and outcomes in patients with fire-related inhalation injury.

    Auris, nasus, larynx·2026
    Same journal

    Which surgical procedure is more effective for obstructive sleep apnea-CWICKs or barbed reposition pharyngoplasty (BRP)?

    Auris, nasus, larynx·2026
    See all related articles

    Computers can measure nasal resistance using airflow and pressure data. Optimal results require at least twenty samples during normal breathing, avoiding excessively slow or fast respiratory rates.

    Area of Science:

    • Respiratory Physiology
    • Medical Instrumentation

    Background:

    • Computers are increasingly utilized in respiratory physiology for data analysis.
    • Accurate measurement of nasal resistance is crucial for diagnosing respiratory conditions.

    Purpose of the Study:

    • To evaluate the efficacy of computer-assisted analysis for measuring nasal resistance.
    • To determine optimal parameters for computer-based nasal resistance measurement.

    Main Methods:

    • Simulated nasal cavities (acryl resin model) were ventilated at varying volumes and speeds.
    • Pressure and flow data were recorded and analyzed using a minicomputer.
    • Rohrer's formula and its modification were applied to calculate resistance coefficients (K1 and K2).

    Main Results:

    Related Experiment Videos

    • Calculated resistance coefficients (K1, K2) varied significantly with sampling timing and duration.
    • Ventilatory speed (too slow or too rapid) also impacted the accuracy of calculated coefficients.
    • At least twenty samples during normal inspiratory or expiratory phases were found necessary for reliable measurements.

    Conclusions:

    • Computer analysis is feasible for nasal resistance measurement but requires careful parameter selection.
    • Optimal nasal resistance measurement necessitates regular sampling during normal breathing phases.
    • Avoiding extreme ventilatory speeds is essential due to apparatus limitations.