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Updated: Dec 19, 2025

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
Published on: July 22, 2025
Electronic nose in discrimination of children with uncontrolled asthma
Laura Tenero1, Marco Sandri1, Michele Piazza1,2
1Department of Surgery, Dentistry, Paediatrics and Gynaecology, University of Verona, Verona, Italy.
Insights
Electronic nose technology can detect volatile organic compounds in exhaled breath to differentiate children with uncontrolled asthma from healthy controls. This non-invasive method shows promise for monitoring asthma control in pediatric patients.
Area of Science:
- Biomarkers and diagnostics
- Respiratory medicine
- Volatile organic compound analysis
Background:
- Monitoring airway inflammation in asthma is crucial for effective management.
- Exhaled breath analysis offers a non-invasive method for detecting biomarkers.
- Electronic nose (e-Nose) technology shows potential for identifying volatile organic compounds (VOCs) in breath.
Purpose of the Study:
- To compare e-Nose respiratory patterns in a pediatric cohort with different asthma control levels.
- To assess the ability of e-Nose technology to discriminate between controlled and uncontrolled asthma in children.
- To evaluate exhaled breath volatile organic compound (VOC) profiles for asthma diagnosis.
Main Methods:
- A cross-sectional study involving 38 children (28 with asthma, 10 healthy controls).
- Asthma control was classified using Global Initiative for Asthma (GINA) guidelines: controlled (AC), partially controlled (APC), and uncontrolled (ANC).
- Exhaled breath samples were collected using a commercial e-Nose (Cyranose 320) for VOC profile generation; spirometry and clinical exams were also performed.
Main Results:
- The e-Nose successfully discriminated between healthy/controlled asthma and uncontrolled/partially controlled asthma groups (AUC=0.85).
- Cross-validated AUC was 0.80, with a sensitivity of 0.79 and specificity of 0.84.
- Exhaled biomarker patterns were easily obtained and differentiated children with uncontrolled asthma from asymptomatic controls.
Conclusions:
- Electronic nose technology is a feasible and effective tool for analyzing exhaled breath biomarkers in children.
- e-Nose analysis of VOCs can differentiate children with uncontrolled asthma from those with controlled asthma or healthy controls.
- This non-invasive approach holds potential for routine monitoring of asthma control in pediatric populations.
Abstract:
Measuring biomarkers (e.g. volatile organic compounds [VOCs]) in exhaled breath is an attractive approach to monitor airway inflammation in asthma and other lung diseases. Olfactive technology by electronic nose (e-Nose) has been applied to identify VOCs in exhaled breath. We compared e-Nose respiratory patterns in a pediatric cohort with asthma classificate children with different asthma control. This cross-sectional study involved 38 children: 28 with asthma and 10 healthy controls . The asthmatic patients were categorized as having controlled (AC), partially controlled (APC) or uncontrolled asthma (ANC) based on level of asthma symptom control according to Global Initiative for Asthma (GINA). Clinical exams, exhaled breath collection for generating e-Nose VOC profiles, and spirometry were performed. Exhaled breath samples were obtained using a commercial electronic nose (Cyranose 320; Smith Detections, Pasadena, CA, USA). The discriminative ability of breathprints were investigated by principal component analysis and penalized logistic regression. The e-Nose was able to discriminate between the CON (controls) + AC and the ANC + APC group with an area under the curve [AUC] of 0.85 (95% confidence interval [CI] 0.72 to 0.98) and a cross-validated AUC of 0.80 (95% CI 0.70 to 0.85). Sensitivity and specificity calculated using the Youden index were 0.79 and 0.84, respectively. Exhaled biomarker patterns were easy to obtain with the device and were able to differentiate children with uncontrolled symptomatic asthma from asymptomatic controls.
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