Workspace analysis and design improvement of a carotid flow measurement system

G Carbone1, R Nakadate, J Solis

  • 1Laboratory of Robotics and Mechatronics, University of Cassino, Cassino, Italy. carbone@unicas.it

Insights

Robotic systems enhance the accuracy and speed of measuring wave intensity (WI) for early detection of heart and cerebrovascular diseases. This study refines a robotic system for precise carotid blood flow measurements using ultrasound.

Area of Science:

  • Biomedical Engineering
  • Robotics
  • Cardiovascular Diagnostics

Background:

  • Heart and cerebrovascular diseases are leading causes of death globally.
  • Wave intensity (WI) shows promise for early disease diagnosis but manual ultrasound measurements are time-consuming and operator-dependent.
  • Robotic-assisted technology offers improved accuracy and repeatability for medical measurements.

Purpose of the Study:

  • To develop a robotic-assisted carotid blood flow measurement system for precise WI assessment.
  • To analyze and enhance the workspace performance of a 6-DOF parallel mechanism wrist for ultrasound guidance.
  • To improve early diagnosis of cardiovascular diseases through accurate WI measurements.

Main Methods:

  • Development of a robotic system integrating a serial robot with a 6-DOF parallel mechanism wrist.
  • Workspace analysis of a prototype wrist (WTA-1R) for carotid blood flow measurement.
  • Implementation of mechanical design enhancements to optimize workspace and dexterity.

Main Results:

  • Workspace analysis identified areas for improvement in the initial prototype's performance.
  • Mechanical enhancements led to a refined prototype (WTA-1RII) with improved workspace capabilities.
  • The refined system demonstrates potential for accurate and efficient WI measurement.

Conclusions:

  • Robotic-assisted systems can overcome limitations of manual ultrasound measurements for WI.
  • Optimized workspace performance is crucial for effective robotic guidance in cardiovascular diagnostics.
  • The developed robotic system offers a promising tool for early detection of heart and cerebrovascular diseases.