A theoretical study and implementation of spinal traction system with real-time biosignal feedback system

Area of Science:

• Biomedical Engineering
• Rehabilitation Medicine
• Spinal Health

Background:

• Back pain and spinal diseases affect a large population, with existing treatments often proving insufficient.
• Spinal traction has emerged as a promising therapy for spinal conditions.
• Intelligent systems offer potential for personalized treatment delivery.

Purpose of the Study:

• To theoretically investigate the application of appropriate force from an intelligent spinal traction system to the spine.
• To develop a system that stimulates the spine with force controlled by patient biological status.
• To validate the theoretical force calculations against experimental data.

Main Methods:

• Theoretical modeling of force application in a spinal traction system.
• Integration of patient biological data (blood pressure, heart rate) for force control.
• Comparison of theoretical force predictions with experimental outcomes.

Main Results:

• The intelligent spinal traction system demonstrated a theoretical framework for controlled force application.
• Patient biological status was effectively utilized to modulate the applied force.
• Experimental results showed a high correlation with the theoretical force derivations.

Conclusions:

• The proposed theoretical approach enables customized force application for spinal traction.
• The system's force customization is based on patient weight and traction machine angle.
• This intelligent system holds potential for improved treatment of spinal diseases.