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[Research on the cardiovascular function evaluation system based on noninvasive detection indices].

Xiaorui Song1, Gaoyang Li2, Xuezheng Wang1

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Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
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This study developed a noninvasive cardiovascular health assessment system using fuzzy mathematics. The system provides a convenient and economical method for early cardiovascular disease detection, showing good consistency with clinical evaluations.

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Area of Science:

  • Biomedical Engineering
  • Cardiovascular Health
  • Fuzzy Mathematics Applications

Background:

  • Cardiovascular diseases pose a significant global health burden.
  • Early detection and assessment of cardiovascular health are crucial for effective management.
  • Existing assessment methods may lack convenience, economy, or noninvasiveness.

Purpose of the Study:

  • To develop a noninvasive, convenient, and economical cardiovascular health assessment system.
  • To integrate internationally recognized cardiovascular disease risk factors with noninvasive detection indices.
  • To enhance the scientificity of cardiovascular health evaluation through advanced mathematical methods.

Main Methods:

  • Utilized noninvasive detection indices and fuzzy mathematics.
  • Constructed a health evaluation index based on risk factors and noninvasive data.
  • Employed the analytic hierarchy process (AHP) to determine the weight of 12 indices, passing consistency tests.
  • Developed membership functions, an evaluation matrix, and a fuzzy evaluation model.

Main Results:

  • The analytic hierarchy process weights for 12 indices were determined and validated through consistency tests.
  • Fuzzy mathematics principles were applied to build a comprehensive evaluation model.
  • Kappa consistency test and McNemar statistical analysis (P = 0.995) indicated strong agreement between the model's results and clinical evaluations.
  • Kappa value (0.616, P < 0.001) confirmed significant consistency, demonstrating the model's reliability.

Conclusions:

  • The developed fuzzy mathematics-based system offers a scientifically robust approach to cardiovascular health assessment.
  • The system's noninvasive nature makes it a convenient and economical tool for early cardiovascular disease detection.
  • The model's high consistency with clinical findings highlights its practical significance in healthcare settings.