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Design and Pilot Evaluation of an IoT-Based Blood Pressure Monitoring System for Rabbits.

Carlos Exequiel Garay1, Gonzalo Nicolás Mansilla1, Rossana Elena Madrid2,3

  • 1CIASUR (Centro de Investigación de Atmósfera Superior y Radiopropagación), Facultad Regional Tucumán (FRT), Universidad Tecnológica Nacional (UTN), Rivadavia 1050, San Miguel de Tucumán 4000, Argentina.

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Summary

This study introduces a low-cost, minimally invasive system for continuous blood pressure monitoring in rabbits, crucial for cardiovascular disease research. The Internet of Things (IoT) enabled device offers a viable alternative to costly telemetry for preclinical antihypertensive drug evaluation.

Keywords:
Internet of Things (IoT)blood pressure monitoringcloud computingedge computingpreclinical models

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Area of Science:

  • Biomedical Engineering
  • Cardiovascular Research
  • Preclinical Animal Models

Background:

  • Hypertension is a primary risk factor for cardiovascular diseases, necessitating effective preclinical models.
  • Rabbits offer superior lipid metabolism for cardiovascular research but pose challenges for continuous blood pressure monitoring.
  • Existing methods like catheterization are invasive, indirect methods lack accuracy, and commercial telemetry is expensive and complex.

Purpose of the Study:

  • To develop a low-cost, minimally invasive system for continuous blood pressure monitoring in rabbits.
  • To overcome limitations of existing methods for hemodynamic tracking in preclinical cardiovascular research.
  • To enable real-time data acquisition and remote accessibility for evaluating antihypertensive agents.

Main Methods:

  • A novel system using a central auricular artery pressure transducer and an ESP32 microcontroller was designed.
  • Internet of Things (IoT) technology facilitated digital signal processing and wireless data transmission to the ThingSpeak cloud.
  • The system avoided surgical implantation, reducing costs and recovery time compared to telemetry.

Main Results:

  • Pilot evaluation showed low relative errors against a gold-standard reference: 1.60% (MAP), 8.58% (SBP), and 2.43% (DBP).
  • The system enabled continuous, real-time hemodynamic tracking throughout the experimental period.
  • Demonstrated feasibility for remote data accessibility and edge computing integration.

Conclusions:

  • The proposed system offers a cost-effective and minimally invasive solution for continuous blood pressure monitoring in rabbits.
  • This approach facilitates preclinical evaluation of antihypertensive therapies and cardiovascular mechanisms.
  • It bridges the gap between edge computing and remote diagnostics in cardiovascular research.