Results 41 to 50 of about 1,364 (52)
f-GAN: A frequency-domain-constrained generative adversarial network for PPG to ECG synthesis [PDF]
arXivElectrocardiograms (ECGs) and photoplethysmograms (PPGs) are generally used to monitor an individual's cardiovascular health. In clinical settings, ECGs and fingertip PPGs are the main signals used for assessing cardiovascular health, but the equipment necessary for their collection precludes their use in daily monitoring.
arxiv
Predicting Heart Failure with Attention Learning Techniques Utilizing Cardiovascular Data [PDF]
arXivCardiovascular diseases (CVDs) encompass a group of disorders affecting the heart and blood vessels, including conditions such as coronary artery disease, heart failure, stroke, and hypertension. In cardiovascular diseases, heart failure is one of the main causes of death and also long-term suffering in patients worldwide. Prediction is one of the risk
arxiv
Enhancing Cardiovascular Disease Risk Prediction with Machine Learning Models [PDF]
arXivCardiovascular disease remains a leading global cause of mortality, necessitating accurate risk prediction tools. Traditional methods, such as QRISK and the Framingham heart score, exhibit limitations in their ability to incorporate comprehensive patient data, potentially resulting in incomplete risk factor consideration. To address these shortcomings,
arxiv
Towards Precision Cardiovascular Analysis in Zebrafish: The ZACAF Paradigm [PDF]
arXivQuantifying cardiovascular parameters like ejection fraction in zebrafish as a host of biological investigations has been extensively studied. Since current manual monitoring techniques are time-consuming and fallible, several image processing frameworks have been proposed to automate the process.
arxiv
Stochastic Parameter Prediction in Cardiovascular Problems [PDF]
arXivPatient-specific modeling of cardiovascular flows with high-fidelity is challenging due to its dependence on accurately estimated velocity boundary profiles, which are essential for precise simulations and directly influence wall shear stress calculations - key in predicting cardiovascular diseases like atherosclerosis. This data, often derived from in
arxiv
Associação entre os fatores dietéticos utilizados na prevenção e tratamento de doenças cardiovasculares com o ganho de peso corporal [PDF]
, 2007 Karr, Cleusa Rejane Da Silva +2 more
core +1 more source
Ingestão de isoflavonas e biomarcadores de doenças cardiovasculares em mulheres pós-menopáusicas
, 2020 Layonne de Sousa Carvalho +6 more
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