Development of automatic immediate fitting socket system for artificial leg socket modeling using fuzzy control

Area of Science:

• Biomedical Engineering
• Materials Science
• Rehabilitation Engineering

Background:

• Traditional prosthetic socket fabrication is time-consuming.
• Improving amputee comfort and fit is crucial for prosthetic use.
• Powder technology offers potential for rapid socket customization.

Purpose of the Study:

• To develop and evaluate an Automatic Immediate Fitting Socket (AIFS) system.
• To reduce the time required for prosthetic leg fabrication.
• To enhance socket fit and comfort for amputees.

Main Methods:

• The AIFS system utilizes a particle-containing bag with adjustable rigidity via negative air pressure and airbags for shape adjustment.
• A fuzzy controller was employed for real-time, automatic shape control based on amputee feedback.
• Surface contact pressure and stump circumference were measured during walking and modeling.

Main Results:

• Peak pressure at the tibia end was reduced to 30 kPa with AIFS, compared to 90 kPa with conventional sockets.
• AIFS demonstrated more uniform pressure distribution across the medial condyle, fibula head, and tibia end.
• Shape modeling achieved a low error of 6% with practical shapes obtained in just 10 minutes for all four amputees.

Conclusions:

• The AIFS system offers a rapid and effective solution for prosthetic socket fabrication.
• This technology significantly improves pressure distribution and reduces fitting time, enhancing amputee comfort.
• The AIFS system represents a practical advancement in prosthetic limb technology.