AIMC Topic: Respiration

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Classification of mindfulness experiences from gamma-band effective connectivity: Application of machine-learning algorithms on resting, breathing, and body scan.

Computer methods and programs in biomedicine Sep 28, 2024
BACKGROUND AND OBJECTIVE: Practicing mindfulness is a mental process toward interoceptive awareness, achieving stress reduction and emotion regulation through brain-function alteration. Literature has shown that electroencephalography (EEG)-derived c...
Machine Learning Algorithms Brain Humans Bayes Theorem Electroencephalography Rest Respiration Mindfulness Female Male Young Adult Stress, Psychological Adult Support Vector Machine
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PPG2RespNet: a deep learning model for respirational signal synthesis and monitoring from photoplethysmography (PPG) signal.

Physical and engineering sciences in medicine Sep 17, 2024
Breathing conditions affect a wide range of people, including those with respiratory issues like asthma and sleep apnea. Smartwatches with photoplethysmogram (PPG) sensors can monitor breathing. However, current methods have limitations due to manual...
Photoplethysmography Monitoring, Physiologic Humans Signal Processing, Computer-Assisted Deep Learning Respiration
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Deep-learning-assisted thermogalvanic hydrogel fiber sensor for self-powered in-nostril respiratory monitoring.

Journal of colloid and interface science Sep 14, 2024
Direct and consistent monitoring of respiratory patterns is crucial for disease prognostication. Although the wired clinical respiratory monitoring apparatus can operate accurately, the existing defects are evident, such as the indispensability of an...
Monitoring, Physiologic Hydrogels Respiration Humans Temperature Deep Learning Wearable Electronic Devices Polyvinyl Alcohol
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Imitating the respiratory activity of the brain stem by using artificial neural networks: exploratory study on an animal model of lactic acidosis and proof of concept.

Journal of clinical monitoring and computing Aug 20, 2024
Artificial neural networks (ANNs) are versatile tools capable of learning without prior knowledge. This study aims to evaluate whether ANN can calculate minute volume during spontaneous breathing after being trained using data from an animal model of...
Blood Gas Analysis Acidosis, Lactic Brain Stem Body Temperature Respiration Proof of Concept Study Swine Disease Models, Animal Hydrogen-Ion Concentration Neural Networks, Computer Carbon Dioxide Algorithms Linear Models Animals Lactic Acid
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Deep learning-aided respiratory motion compensation in PET/CT: addressing motion induced resolution loss, attenuation correction artifacts and PET-CT misalignment.

European journal of nuclear medicine and molecular imaging Aug 13, 2024
PURPOSE: Respiratory motion (RM) significantly impacts image quality in thoracoabdominal PET/CT imaging. This study introduces a unified data-driven respiratory motion correction (uRMC) method, utilizing deep learning neural networks, to solve all th...
Positron Emission Tomography Computed Tomography Artifacts Fluorodeoxyglucose F18 Middle Aged Deep Learning Image Processing, Computer-Assisted Respiration Movement Humans Retrospective Studies Female Aged Adult Male
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Identification of eupneic breathing using machine learning.

Journal of neurophysiology Jul 25, 2024
The diaphragm muscle (DIAm) is the primary inspiratory muscle in mammals. In awake animals, considerable heterogeneity in the electromyographic (EMG) activity of the DIAm reflects varied ventilatory and nonventilatory behaviors. Experiments in awake ...
Rats Rats, Sprague-Dawley Electromyography Machine Learning Animals Male Respiration Diaphragm
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Improved sleep stage predictions by deep learning of photoplethysmogram and respiration patterns.

Computers in biology and medicine Jul 20, 2024
Sleep staging is a crucial tool for diagnosing and monitoring sleep disorders, but the standard clinical approach using polysomnography (PSG) in a sleep lab is time-consuming, expensive, uncomfortable, and limited to a single night. Advancements in s...
Sleep Stages Female Adult Signal Processing, Computer-Assisted Male Respiration Polysomnography Humans Middle Aged Deep Learning Photoplethysmography
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mmWave-RM: A Respiration Monitoring and Pattern Classification System Based on mmWave Radar.

Sensors (Basel, Switzerland) Jul 2, 2024
Breathing is one of the body's most basic functions and abnormal breathing can indicate underlying cardiopulmonary problems. Monitoring respiratory abnormalities can help with early detection and reduce the risk of cardiopulmonary diseases. In this s...
Humans Neural Networks, Computer Algorithms Support Vector Machine Monitoring, Physiologic Signal Processing, Computer-Assisted Respiration Radar
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Letter to the Editor: "Development of a machine learning model for prediction of the duration of unassisted spontaneous breathing in patients during prolonged weaning from mechanical ventilation".

Journal of critical care Jun 25, 2024
Time Factors Humans Respiration Machine Learning Ventilator Weaning Respiration, Artificial
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Authors' response: "Development of a machine learning model for prediction of the duration of unassisted spontaneous breathing in patients during prolonged weaning from mechanical ventilation".

Journal of critical care Jun 21, 2024
Humans Time Factors Machine Learning Respiration Respiration, Artificial Ventilator Weaning
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