AIMC Topic: Exhalation

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User authentication system based on human exhaled breath physics.

PloS one Apr 22, 2024
This work, in a pioneering approach, attempts to build a biometric system that works purely based on the fluid mechanics governing exhaled breath. We test the hypothesis that the structure of turbulence in exhaled human breath can be exploited to bui...
Humans Machine Learning Exhalation Algorithms Biometric Identification Breath Tests
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Ultra-sensitive analysis of exhaled biomarkers in ozone-exposed mice via PAI-TOFMS assisted with machine learning algorithms.

Journal of hazardous materials Mar 27, 2024
Ground-level ozone ranks sixth among common air pollutants. It worsens lung diseases like asthma, emphysema, and chronic bronchitis. Despite recent attention from researchers, the link between exhaled breath and ozone-induced injury remains poorly un...
Oxidative Stress Mice Mass Spectrometry Biomarkers Animals Male Lung Injury Breath Tests Exhalation Machine Learning Mice, Inbred C57BL Air Pollutants Ozone
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COPD stage detection: leveraging the auto-metric graph neural network with inspiratory and expiratory chest CT images.

Medical & biological engineering & computing Feb 16, 2024
Chronic obstructive pulmonary disease (COPD) is a common lung disease that can lead to restricted airflow and respiratory problems, causing a significant health, economic, and social burden. Detecting the COPD stage can provide a timely warning for p...
Humans Neural Networks, Computer Male Machine Learning Female Middle Aged Tomography, X-Ray Computed Aged Lung Exhalation Pulmonary Disease, Chronic Obstructive Inhalation
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Exhaled breath signal analysis for diabetes detection: an optimized deep learning approach.

Computer methods in biomechanics and biomedical engineering Dec 7, 2023
In this study, a flexible deep learning system for breath analysis is created using an optimal hybrid deep learning model. To improve the quality of the gathered breath signals, the raw data are first pre-processed. Then, the most relevant features l...
Exhalation Deep Learning Diabetes Mellitus Body Fluids Humans
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A pilot study for the prediction of liver function related scores using breath biomarkers and machine learning.

Scientific reports Feb 7, 2022
Volatile organic compounds (VOCs) present in exhaled breath can help in analysing biochemical processes in the human body. Liver diseases can be traced using VOCs as biomarkers for physiological and pathophysiological conditions. In this work, we pro...
Limonene Breath Tests Exhalation Butadienes Hemiterpenes Volatile Organic Compounds Liver Diseases Liver Function Tests Predictive Value of Tests Sulfides Machine Learning Biomarkers Pilot Projects
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A Machine-Learning Model for Lung Age Forecasting by Analyzing Exhalations.

Sensors (Basel, Switzerland) Feb 1, 2022
Spirometers are important devices for following up patients with respiratory diseases. These are mainly located only at hospitals, with all the disadvantages that this can entail. This limits their use and consequently, the supervision of patients. R...
Humans Child, Preschool Machine Learning Spirometry Algorithms Middle Aged Exhalation Female Young Adult Lung Aged Adolescent Adult Male
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Non-Contact Spirometry Using a Mobile Thermal Camera and AI Regression.

Sensors (Basel, Switzerland) Nov 15, 2021
Non-contact physiological measurements have been under investigation for many years, and among these measurements is non-contact spirometry, which could provide acute and chronic pulmonary disease monitoring and diagnosis. This work presents a feasib...
Respiratory Rate Respiration Spirometry Exhalation Humans Artificial Intelligence
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Few-shot learning for deformable image registration in 4DCT images.

The British journal of radiology Oct 18, 2021
OBJECTIVES: To develop a rapid and accurate 4D deformable image registration (DIR) approach for online adaptive radiotherapy.
Lung Inhalation Deep Learning Humans Radiotherapy, Image-Guided Radiotherapy Planning, Computer-Assisted Time Factors Four-Dimensional Computed Tomography Respiration Exhalation
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The smell of lung disease: a review of the current status of electronic nose technology.

Respiratory research Sep 17, 2021
There is a need for timely, accurate diagnosis, and personalised management in lung diseases. Exhaled breath reflects inflammatory and metabolic processes in the human body, especially in the lungs. The analysis of exhaled breath using electronic nos...
Electronic Nose Humans Machine Learning Precision Medicine Lung Diseases Smell Exhalation
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Optimized adaptive Savitzky-Golay filtering algorithm based on deep learning network for absorption spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jul 16, 2021
An improved Savitzky-Golay (S-G) filtering algorithm was developed to denoise the absorption spectroscopy of nitrogen oxide (NO). A deep learning (DL) network was introduced to the traditional S-G filtering algorithm to adjust the window size and pol...
Signal Processing, Computer-Assisted Algorithms Spectrum Analysis Deep Learning Exhalation
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