An Inductive Sensing System for Optimizing Prosthetic Socket Fit

Area of Science:

• Biomedical Engineering
• Wearable Technology
• Prosthetics and Orthotics

Background:

• Residual limb volume fluctuations are common, leading to prosthetic socket fit issues.
• Poor socket fit can cause discomfort, pain, and tissue damage for prosthetic users.
• Existing monitoring methods lack real-time, non-invasive feedback on socket fit.

Purpose of the Study:

• To design, develop, and validate an inductive sensing system for monitoring prosthetic socket fit.
• To measure distance variations between the prosthetic socket and the residual limb liner.
• To reduce risks of discomfort and tissue injury associated with poor prosthetic fit.

Main Methods:

• An inductive sensing system comprising an LC resonator sensor and a magnetic silicone target was developed.
• Multiple sensor and target configurations were designed and evaluated for optimal performance.
• Experimental validation involved distance detection, environmental testing, and in vitro simulation of limb volume changes.

Main Results:

• A specific coil and silicone target configuration demonstrated stable and sensitive performance for distance detection up to 7 mm.
• The system showed minimal frequency drift across a range of temperatures and humidity levels.
• In vitro tests confirmed repeatable measurements with low variability during simulated residual limb volume variations.

Conclusions:

• The developed inductive sensing system effectively monitors prosthetic socket fit variations.
• The system offers a stable, sensitive, and reliable solution for real-time fit assessment.
• This technology has the potential to improve prosthetic user comfort and reduce associated health risks.