Towards fully automated robotic platform for remote auscultation.

Area of Science:

• Robotics
• Healthcare Technology
• Medical Diagnostics

Background:

• Increasing patient-to-healthcare worker ratios in developed nations due to aging populations and declining birth rates.
• Need for automated, remote diagnostic tools to alleviate healthcare system burdens.
• Auscultation as a key diagnostic technique suitable for automation.

Purpose of the Study:

• To develop and evaluate an automated robotic platform for remote auscultation.
• To assess the platform's capability for autonomous stethoscope positioning and contact force maintenance.
• To demonstrate the potential of robotic auscultation as a cost-effective screening tool.

Main Methods:

• A 6-degree-of-freedom cooperative robotic arm equipped with an electric stethoscope and LiDAR camera.
• Autonomous stethoscope positioning using LiDAR-based multi-way registration for body surface mapping.
• A passive-actuated mechanism to ensure safe, flexible contact and controlled force application.

Main Results:

• Successful estimation of cardiac examination landing positions using body surface depth and landmark data.
• Robotic platform effectively handles the stethoscope while maintaining consistent contact force.
• Preliminary results validate the feasibility of automated remote auscultation.

Conclusions:

• The developed robotic platform demonstrates precise control for stethoscope placement and contact force management.
• Automated remote auscultation shows significant potential for efficient and accessible healthcare screening.
• This technology could enable remote diagnostic capabilities, reducing reliance on in-person specialist visits.