| Publications with our device | Cardiovascular

Cardiovascular

  • Integrated Multivariate Predictive Model of Body Composition and Lipid Profile for Cardiovascular Risk Assessment

    Study developing a multivariate predictive model combining body composition and lipid profile in young subjects. Bioimpedance-derived parameters significantly improve the accuracy of cardiovascular risk prediction models compared to conventional approaches.
    → Supports the valuable integration of body composition assessment into cardiometabolic prevention strategies.
PublicationTitleCategory
Volume Control of the Lower Limb with Graduated Compression during Different Muscle Pump Activation Conditions and the Relation to Limb Circumference Variation
Phase angle variation and cellular hydration associated with GSTP1 gene polymorphisms in women with breast cancer
The Effects of Thermal Water Physical Exercise in Patients with Lower Limb Chronic Venous Insufficiency Monitored by Bioimpedance Analysis

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