AIMC Topic: Respiratory Rate

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Biometric Signals Estimation Using Single Photon Camera and Deep Learning.

Sensors (Basel, Switzerland) Oct 27, 2020
The problem of performing remote biomedical measurements using just a video stream of a subject face is called remote photoplethysmography (rPPG). The aim of this work is to propose a novel method able to perform rPPG using single-photon avalanche di...
Signal Processing, Computer-Assisted Humans Heart Rate Face Algorithms Deep Learning Biometry Photoplethysmography Respiratory Rate
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Derivation of Breathing Metrics From a Photoplethysmogram at Rest: Machine Learning Methodology.

JMIR mHealth and uHealth Jul 31, 2020
BACKGROUND: There has been a recent increased interest in monitoring health using wearable sensor technologies; however, few have focused on breathing. The ability to monitor breathing metrics may have indications both for general health as well as r...
Humans Machine Learning Photoplethysmography Benchmarking Respiration Respiratory Rate
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Artificial intelligence mobile health platform for early detection of COVID-19 in quarantine subjects using a wearable biosensor: protocol for a randomised controlled trial.

BMJ open Jul 22, 2020
INTRODUCTION: There is an outbreak of COVID-19 worldwide. As there is no effective therapy or vaccine yet, rigorous implementation of traditional public health measures such as isolation and quarantine remains the most effective tool to control the o...
Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Blood Gas Monitoring, Transcutaneous Hong Kong Skin Temperature Cloud Computing Smartphone Respiratory Rate Pandemics Mobile Applications COVID-19 Randomized Controlled Trials as Topic COVID-19 Testing SARS-CoV-2 Quarantine Wearable Electronic Devices Humans Heart Rate Artificial Intelligence Early Diagnosis Coronavirus Infections Telemedicine
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Human respiration monitoring using infrared thermography and artificial intelligence.

Biomedical physics & engineering express Mar 13, 2020
The respiration rate (RR) is the most vital parameter used for the determination of human health. The most widely adopted techniques, used to monitor the RR are contact in nature and face many drawbacks. This paper reports the use of Infrared Thermog...
Signal Processing, Computer-Assisted Support Vector Machine Body Temperature Respiratory Rate Humans Female Adult Monitoring, Physiologic Respiration Infrared Rays Models, Statistical Signal-To-Noise Ratio Artificial Intelligence Sensitivity and Specificity Thermography Equipment Design Algorithms Male Stochastic Processes Adolescent Normal Distribution Temperature Reproducibility of Results Young Adult
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Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning.

IEEE journal of biomedical and health informatics Jan 20, 2020
Sleep apnea is one of the most common sleep-related breathing disorders. It is diagnosed through an overnight sleep study in a specialized sleep clinic. This setup is expensive and the number of beds and staff are limited, leading to a long waiting t...
Polysomnography Deep Learning Humans Sleep Apnea Syndromes Electric Impedance Respiratory Rate
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Machine-Learning-Based Detection of Craving for Gaming Using Multimodal Physiological Signals: Validation of Test-Retest Reliability for Practical Use.

Sensors (Basel, Switzerland) Aug 9, 2019
Internet gaming disorder in adolescents and young adults has become an increasing public concern because of its high prevalence rate and potential risk of alteration of brain functions and organizations. Cue exposure therapy is designed for reducing ...
Self Report Heart Rate Respiratory Rate Electrooculography Behavior, Addictive Saccades Video Games Craving Humans Machine Learning Young Adult Male
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Non-contact heart and respiratory rate monitoring of preterm infants based on a computer vision system: a method comparison study.

Pediatric research Jul 27, 2019
BACKGROUND: Non-contact heart rate (HR) and respiratory rate (RR) monitoring is necessary for preterm infants due to the potential for the adhesive electrodes of conventional electrocardiogram (ECG) to cause damage to the epidermis. This study was pe...
Humans Artificial Intelligence Algorithms Infant, Newborn Cross-Sectional Studies Electrocardiography Heart Rate Infant, Premature Respiratory Rate Telemetry
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Detection of respiratory rate using a classifier of waves in the signal from a FBG-based vital signs sensor.

Computer methods and programs in biomedicine May 17, 2019
BACKGROUND AND OBJECTIVE: Monitoring of changes in respiratory rate provides information on a patient's psychophysical state. This paper presents a respiratory rate detection method based on analysis of signals from a fiber Bragg grating (FBG)-based ...
Electronic Data Processing Respiratory Rate Monitoring, Physiologic Machine Learning Discriminant Analysis Algorithms Equipment Design Humans Female Heart Rate Reproducibility of Results Adult Young Adult Male Middle Aged Magnetic Resonance Imaging
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Novel pediatric-automated respiratory score using physiologic data and machine learning in asthma.

Pediatric pulmonology Apr 21, 2019
OBJECTIVES: Manual clinical scoring systems are the current standard used for acute asthma clinical care pathways. No automated system exists that assesses disease severity, time course, and treatment impact in pediatric acute severe asthma exacerbat...
Male Severity of Illness Index Child, Preschool Child Humans Machine Learning Heart Rate Female Respiratory Rate Asthma Oximetry
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Noninvasive prediction of Blood Lactate through a machine learning-based approach.

Scientific reports Feb 18, 2019
We hypothesized that blood lactate concentration([Lac]) is a function of cardiopulmonary variables, exercise intensity and some anthropometric elements during aerobic exercise. This investigation aimed to establish a mathematical model to estimate [L...
Exercise Young Adult Oxygen Consumption Humans Heart Rate Exercise Test Adult Machine Learning Male Models, Biological Healthy Volunteers Algorithms Middle Aged Lactic Acid Female Respiratory Rate
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