Related Experiment Video
Updated: Dec 30, 2025

Image Acquisition using Portable Sonography for Emergency Airway Management
Published on: September 28, 2022
Smart Phone based Snoring Sound analysis to Identify Upper Airway Obstructions
Smartphones can detect upper airway obstructions by analyzing snoring sounds. This technology uses high-frequency snoring audio to identify potential cases of obstructive sleep apnea (OSA).
Area of Science:
- Biomedical Engineering
- Sleep Medicine
- Acoustic Signal Processing
Background:
- Obstructive sleep apnea (OSA) involves upper airway obstructions during sleep, often associated with snoring.
- High-frequency shifts in snoring sounds correlate with airway narrowing during apnea/hypopnea events.
- Existing wideband microphone systems for detecting these shifts are costly and impractical for widespread use.
Purpose of the Study:
- To investigate the feasibility of using smartphone microphones to analyze snoring sounds for identifying upper airway obstructions.
- To develop and validate models for classifying sleep sound epochs as non-apnea or apnea using smartphone technology.
Main Methods:
- Collected overnight respiratory sound data from 8 patients using a Samsung Galaxy S3 smartphone during Polysomnography (PSG).
- Developed logistic regression models using snoring sound features from 700 30-second epochs.
- Analyzed sound data within the 20Hz-15kHz and 20Hz-22kHz frequency bands to classify events as apnea or non-apnea.
Main Results:
- Models using the 20Hz-22kHz band achieved higher performance: 94-97% accuracy, 93-100% sensitivity, and a kappa index of 0.86-0.91.
- Compared to models using the 20Hz-15kHz band (89-93% accuracy, 70-78% sensitivity), the broader band showed significant improvement.
- High-frequency snoring sounds (15-22kHz) captured by smartphones contain valuable information for detecting upper airway obstructions.
Conclusions:
- Smartphone-based analysis of high-frequency snoring sounds is a feasible method for identifying upper airway obstructions.
- This non-contact technology offers a potential low-cost solution for screening obstructive sleep apnea (OSA).
- Further development could lead to accessible home-use or population screening tools for OSA detection.
More Related Videos
07:54Drug-Induced Sleep Endoscopy DISE with Target Controlled Infusion TCI and Bispectral Analysis in Obstructive Sleep Apnea
Published on: December 6, 2016
06:22Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
Published on: September 19, 2025
Related Concept Videos
Sleep Apnea
The condition is more prevalent among...
Physical Assessment of the Respiratory Tract IV: Auscultation
Breath Sounds
Breath sounds are categorized into vesicular, bronchovesicular, and bronchial.
Suctioning the Nasopharyngeal Airway
Equipment Required
Suctioning the Oropharyngeal Airway
After assembling the equipment, the nurse should practice hand hygiene and don appropriate PPE according to infection control guidelines to avoid the...
Respiratory System Abnormal Finding II: Palpation and Auscultation
Palpation Findings
During a respiratory assessment, palpation can reveal several vital abnormalities:
Assessment of Airway, Skin Color, and Use of Accessory Muscles
Introduction
The initial evaluation of a patient's respiratory system...