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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

Integrated e-Health approach based on vascular ultrasound and pulse wave analysis for asymptomatic atherosclerosis

Daniel Bia Santana1, Yanina A Zócalo, Ricardo L Armentano

  • 1Physiology Department, School of Medicine, CUiiDARTE, Universidad de la República, PC: 11800, Montevideo, Uruguay. dbia@fmed.edu.uy

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
|January 25, 2012
PubMed

Insights

New strategies are needed to identify individuals at risk for atherosclerotic cardiovascular disease (ACVD). The CUiiDARTE center in Uruguay integrates experts, education, and technology for early ACVD detection and prevention.

Area of Science:

  • Cardiovascular Research
  • Public Health Innovation
  • Biomedical Engineering

Background:

  • Atherosclerotic cardiovascular disease (ACVD) poses a significant health burden, necessitating improved risk identification strategies.
  • Current methods for ACVD risk stratification require enhancement to effectively identify high-risk individuals.
  • Early detection and prevention are crucial for managing ACVD development and complications.

Purpose of the Study:

  • To describe the implementation of the National Public University Center for research and development in Atherosclerotic Cardiovascular Disease Risk and Treatment (CUiiDARTE) in Uruguay.
  • To detail the scientific and technological innovations employed for individual risk stratification and sub-clinical ACVD diagnosis.
  • To outline a comprehensive approach integrating multidisciplinary expertise, education, community-based screening, and advanced technology for ACVD prevention.

Main Methods:

  • Establishment of a multidisciplinary research center (CUiiDARTE) with six core pillars.
  • Integration of e-Health and noninvasive technologies for vascular studies and risk assessment.
  • Development of biomedical and statistical models for population-based epidemiological analysis and patient-specific risk estimation.
  • Implementation of community-distributed, free vascular studies to enhance accessibility.

Main Results:

  • CUiiDARTE established a framework for ACVD risk stratification and sub-clinical diagnosis.
  • Innovations in e-Health and noninvasive technologies were applied to improve risk assessment.
  • A biomedical approach was developed to define target populations and patient workflows.
  • The project emphasizes a shift from ACVD treatment to prevention through education and accessible screening.

Conclusions:

  • The CUiiDARTE project presents a novel, integrated strategy for identifying individuals at increased risk of ACVD.
  • Technological advancements and a community-centered approach facilitate early detection and personalized risk management.
  • This initiative aims to significantly improve ACVD prevention and outcomes through innovative research and public health interventions.

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