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[ARM-based Embedded Detection System of Cardiovascular Function Parameters].

Wenchao Peng1,2, Yongliang Zhang1, Dan Jin1,3

  • 1Institute of Intelligent Machines, Chinese Academy of Science, Hefei, 230031.

Zhongguo Yi Liao Qi Xie Za Zhi = Chinese Journal of Medical Instrumentation
|June 5, 2018
PubMed
Summary
This summary is machine-generated.

This study presents a new cardiovascular function testing system for accurate pulse wave analysis. The system demonstrates strong correlations in key indicators, offering improved cardiovascular assessment.

Keywords:
QT/Embeddeddriverembedded systempulse wave

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Area of Science:

  • Biomedical Engineering
  • Cardiovascular Technology
  • Medical Device Design

Background:

  • Cardiovascular disease necessitates accurate and accessible diagnostic tools.
  • Existing cardiovascular function testing instruments have limitations in precision and cost-effectiveness.
  • Developing a portable and efficient system for cardiovascular assessment is crucial.

Purpose of the Study:

  • To design and develop a novel cardiovascular function testing system utilizing an ARM microprocessor and Linux platform.
  • To detail the hardware circuit, touchscreen driver, external ADC driver, and QT-based visualization applications.
  • To evaluate the system's performance in assessing cardiovascular function, focusing on key indicators.

Main Methods:

  • System design based on ARM microprocessor (s3c2440) and Linux.
  • Implementation of pulse wave acquisition, feature extraction, and index calculation algorithms.
  • Development of touchscreen and external Analog-to-Digital Converter (ADC) drivers.
  • Creation of a Graphical User Interface (GUI) using QT-based applications for data visualization.

Main Results:

  • The developed system is user-friendly, operates in real-time, and consumes low power.
  • Comparison with common cardiovascular function test instruments indicates superior assessment capabilities.
  • Key indicators, including subendocardial myocardial viability rate and augmentation index, showed good correlations.

Conclusions:

  • The designed cardiovascular function testing system offers a viable and effective tool for assessing cardiovascular health.
  • The system's ability to accurately measure key cardiovascular indicators suggests potential for early disease detection and management.
  • The combination of hardware and software components provides a robust platform for advanced cardiovascular diagnostics.