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 Concept Videos

Sleep Apnea01:21

Sleep Apnea

768
Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...
768
Suctioning the Nasopharyngeal Airway01:29

Suctioning the Nasopharyngeal Airway

5.4K
Nasopharyngeal suctioning is a procedure to remove secretions from the upper part of the respiratory tract that the patient cannot clear independently. It helps maintain airway patency and prevents complications such as aspiration pneumonia.
Equipment Required
5.4K
Mechanical Ventilation III: Noninvasive Ventilation01:23

Mechanical Ventilation III: Noninvasive Ventilation

835
Noninvasive positive-pressure ventilation (NIPPV), continuous positive airway pressure (CPAP), and bilevel positive airway pressure (BiPAP) are essential methods in respiratory care. These ventilation techniques offer unique benefits for patients with various respiratory conditions, providing adequate support without requiring intubation. Let's explore how each method is crucial in improving patient outcomes and enhancing respiratory therapy.
Noninvasive Positive-Pressure Ventilation...
835

You might also read

Related Articles

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

Sort by
Same author

Advances in wearable sensing technologies and intelligent systems for healthcare and fitness.

Nanoscale horizons·2026
Same author

Integration of circulating tumor DNA data enhances lung cancer prediction in patients with COPD.

Scientific reports·2026
Same author

Predicting Postoperative Complications in Patients With Lung Cancer and Idiopathic Pulmonary Fibrosis.

Respirology (Carlton, Vic.)·2026
Same author

A Mechanistic and Morphologic Approach to Managing Benign Central Airway Obstruction.

Respirology (Carlton, Vic.)·2025
Same author

Wireless Soft Athlete Bioelectronics for Monitoring Carbon Dioxide Ventilation and Physiological Performance.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Radial endobronchial ultrasound (EBUS)-guided transbronchial needle aspiration (TBNA) enhances diagnostic yield in pulmonary nodule biopsy.

Translational lung cancer research·2025

Related Experiment Video

Updated: Apr 3, 2026

Precision Induction and Distinction of Coughing and Sneezing Reflexes in Mice
09:30

Precision Induction and Distinction of Coughing and Sneezing Reflexes in Mice

Published on: October 3, 2025

1.6K

Nasal pressure recordings for automatic snoring detection.

Hyo-Ki Lee1, Hojoong Kim2, Kyoung-Joung Lee3

  • 1Interdisciplinary Consortium on Advanced Motion Performance (iCAMP), Department of Surgery, College of Medicine, The University of Arizona, Tucson, AZ, 85724, USA.

Medical & Biological Engineering & Computing
|September 23, 2015
PubMed
Summary

This study introduces a new, simple method for real-time snoring detection using nasal pressure, achieving high accuracy in obstructive sleep apnea patients. This cost-effective tool enhances sleep study analysis without needing microphones.

Keywords:
Nasal pressureReal-time detectionRule-based methodSnoring

More Related Videos

Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

8.3K
Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression
11:26

Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression

Published on: December 10, 2014

12.9K

Related Experiment Videos

Last Updated: Apr 3, 2026

Precision Induction and Distinction of Coughing and Sneezing Reflexes in Mice
09:30

Precision Induction and Distinction of Coughing and Sneezing Reflexes in Mice

Published on: October 3, 2025

1.6K
Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

8.3K
Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression
11:26

Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression

Published on: December 10, 2014

12.9K

Area of Science:

  • Biomedical Engineering
  • Sleep Medicine
  • Signal Processing

Background:

  • Nasal pressure recordings in polysomnography (PSG) and continuous positive airway pressure (CPAP) systems offer insights into nocturnal breathing.
  • Objective snoring detection using nasal pressure data has been underexplored in scientific literature.

Purpose of the Study:

  • To develop and validate a rule-based, automated method for real-time snoring detection solely from nasal pressure signals.
  • To assess the feasibility of snoring detection without acoustic analysis in sleep studies.

Main Methods:

  • A rule-based algorithm was developed, incorporating signal preprocessing, short-time energy analysis, and the central difference method.
  • Nasal pressure recordings from 55 obstructive sleep apnea patients were analyzed.
  • The method's performance was evaluated against simultaneous polysomnography (PSG) data.

Main Results:

  • The automated snoring detection method achieved a sensitivity of 85.4% and a positive predictive value of 92.0% across all patients.
  • The system demonstrated effective real-time snoring detection capabilities.

Conclusions:

  • The proposed rule-based method offers a simple, portable, and cost-effective solution for real-time snoring detection.
  • This approach eliminates the need for microphones and acoustic analysis, integrating seamlessly with existing PSG and CPAP systems.