Skin Temperature Prediction in Lower Limb Prostheses.

Area of Science:

• Biomedical Engineering
• Materials Science
• Rehabilitation Engineering

Background:

• Prosthetic socket heat and perspiration cause discomfort for amputees.
• Thermal properties of socket and liner materials significantly impact heat dissipation.
• Current methods for monitoring skin-level interface temperature are problematic due to sensor/wire integration and skin irritation.

Purpose of the Study:

• To develop a non-invasive method for accurately predicting in-socket residual limb temperature.
• To overcome the limitations of direct skin-level temperature monitoring in prosthetic sockets.

Main Methods:

• Utilized the Gaussian process technique for temperature prediction.
• Focused on monitoring temperature between the prosthetic socket and interface liner.
• Required prior knowledge of the thermal properties of socket and liner materials.

Main Results:

• Accurate prediction of in-socket residual limb temperature is achievable.
• The proposed method avoids direct skin contact, mitigating irritation and sensor damage.
• Monitoring temperature between socket and liner is a viable alternative to skin-level monitoring.

Conclusions:

• The Gaussian process technique enables accurate prediction of prosthetic socket temperature.
• This novel approach enhances comfort and durability for prosthetic users.
• Understanding material thermal properties is key to effective thermal management in prosthetic devices.