Official implementation of Hierarchical Spectrogram Transformers (HST)
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Updated
Oct 10, 2022 - Python
Official implementation of Hierarchical Spectrogram Transformers (HST)
Parsing lab results pertaining to SARS-CoV-2 (causes COVID-19) and other respiratory viruses
Matlab code for generating 6 different respiratory patterns data for training.
Investigating how carbon emissions, particulate matter, and climate variables/indices impact mortality from chronic respiratory disease. Working with pollutant, climate, mortality, population, and geographic datasets. Modeling with Random Forest regression.
A Public Health Scotland R shiny app for surveillance of COVID-19 and respiratory illnesses in Scotland
Code for fitting SEIRS transmission models for respiratory syncytial virus (RSV) to incidence data
Respiratory mechanics, work of breathing and diaphragm EMG entropy calculations
🫁 A polynomial regression model used to predict the vital lung capacity (VC) of an individual given their age.
Ordinary differential equation dynamic models for respiratory syncytial virus (RSV) transmission
Website with data and code for our manuscript on respiratory brain coupling in perception.
Pulmonary ventilation is a critical operation both during surgery and for assisted or replacement ventilation of the patient. This report proposes the analysis of a pulmonary mechanics model using an electrical analogy with an equivalent circuit consisting of resistors and capacitors. Such an electrical-mechanical analogy allows to analyze how t…
Free open source Model Library designed to evaluate human physiological evolution in adulthood, childhood, neonatal and fetal life in the face of the occurrence of cardiovascular and respiratory anomalies or different clinical practices.
A database and interactive platform for respiratory-associated disease.
Understanding Github and how it operates
Application designed to set alarms and display usage statistics of the inhaler by the user, the objectives of the application are offer better control over the treatment of the respiratory diseases.
A database and interactive platform for respiratory-associated disease
A linear model of lung mechanics is analyzed in the following report. The model corresponds to an RLC circuit with unknown parameters. Parametric identification allows to trace the system governance coefficients once a mathematical model has been estimated. Different approaches allow to minimize the difference between the estimated parameters an…
Application of Deep Learning Algorithms alongside Explainable AI (Grad-cam, attention visualization) for the Classification of Infectious Diseases in Chest Radiological images.
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