O presente estudo objetivou avaliar os indicadores antropométricos relacionados à obesidade de adultos assistidos pela equipe de saúde da famÃlia (ESF) da cidade de Montes Claros â MG.
Barral, Marcela O.+3 more
core
Eye2Heart : a validated lumped-parameter model bridging cardiovascular and ocular dynamics [PDF]
The cardiovascular and ocular systems are intricately connected, with hemodynamic interactions playing a crucial role in both physiological regulation and pathological conditions. However, existing models often treat these systems separately, limiting the understanding of their interdependence.
arxiv
Estudos têm demonstrado que respostas cardiovasculares em exercÃcio resistido (ER) são seguras em diversas populações. Assim, o ER é considerado como componente primordial para a melhora da aptidão fÃsica, inclusive de cardÃacos.
Camara, Fabiano Marques+2 more
core
Clustering Analysis of Long-term Cardiovascular Complications in COVID-19 Patients [PDF]
This study investigates long-term cardiovascular complications in COVID-19 patients using advanced clustering techniques. The objective was to analyse ECG parameters, demographic data, comorbidities, and hospitalization details to identify patterns in cardiovascular health outcomes.
arxiv
A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders [PDF]
Cardiovascular disorders account for nearly 1 in 3 deaths in the United States. Care for these disorders are often determined during visits to acute care facilities, such as hospitals. While the length of stay in these settings represents just a small proportion of patients' lives, they account for a disproportionately large amount of decision making ...
arxiv
Mathematical models of cardiovascular control by the autonomic nervous system [PDF]
This PhD thesis develops an integrated mathematical model for autonomic nervous system control on cardiovascular activity. The model extensively covers cardiovascular neural pathways including a wide range of afferent sensory neurons, central processing by autonomic premotor neurons, efferent outputs via preganglionic and postganglionic autonomic ...
arxiv
Novel AI-Based Quantification of Breast Arterial Calcification to Predict Cardiovascular Risk [PDF]
Women are underdiagnosed and undertreated for cardiovascular disease. Automatic quantification of breast arterial calcification on screening mammography can identify women at risk for cardiovascular disease and enable earlier treatment and management of disease.
arxiv
Comparing learning algorithms in neural network for diagnosing cardiovascular disease [PDF]
Today data mining techniques are exploited in medical science for diagnosing, overcoming and treating diseases. Neural network is one of the techniques which are widely used for diagnosis in medical field. In this article efficiency of nine algorithms, which are basis of neural network learning in diagnosing cardiovascular diseases, will be assessed ...
arxiv
Automating Adjudication of Cardiovascular Events Using Large Language Models [PDF]
Cardiovascular events, such as heart attacks and strokes, remain a leading cause of mortality globally, necessitating meticulous monitoring and adjudication in clinical trials. This process, traditionally performed manually by clinical experts, is time-consuming, resource-intensive, and prone to inter-reviewer variability, potentially introducing bias ...
arxiv
Identification of cardiovascular diseases through ECG classification using wavelet transformation [PDF]
Cardiovascular diseases are the leading cause of mortality globally, necessitating advancements in diagnostic techniques. This study explores the application of wavelet transformation for classifying electrocardiogram (ECG) signals to identify various cardiovascular conditions.
arxiv