Smart Modular Prosthetic Socket with Embedded Sensor Feedback for Real-Time Fit Adjustment

Project Abstract

This research presents a novel smart modular prosthetic socket system that integrates embedded sensor feedback to enable real-time fit adjustment for improved comfort, control, and-user satisfaction among transtibial and transfemoral amputees. The core objective is to address socket fit drift caused by dynamic residual limb volume changes, activity levels, and environmental conditions by leveraging a network of pressure, temperature, and moisture sensors embedded within modular socket segments that communicate with a compact on-board processor and an external user interface. The system employs a hybrid sensing framework combining quasi-static pressure mapping with temporal trend analysis to detect fit deterioration, hotspots, and abnormal motion patterns indicative of shear forces. An adaptive control algorithm translates sensor data into actionable adjustments of socket interfaces, including modular liner tensioning, responsive padding compliance, and micro-adjustable alignment micro-actuators, while ensuring safety limits and fail-soft behavior. A key innovation is the modular architecture that enables rapid replacement or reconfiguration of socket sections to accommodate diverse residuum geometries and activity-specific demands without compromising structural integrity. The study includes a rigorous validation pipeline comprising bench-top phantom tests, mechanical fatigue assessments, and a pilot clinical trial with a diverse cohort to evaluate fit quality, donning ease, pressure distribution uniformity, thermal comfort, and user-perceived mobility.Quantitative metrics include peak interface pressures, pressure gradient uniformity, temperature variance across contact areas, moisture accumulation, donning time, prosthesis control accuracy, and subjective measures from standardized outcome instruments. The data acquisition, fusion, and control software are developed on a modular software stack to support real-time processing with low latency, ensuring that adjustments occur within millisecond to second timescales appropriate for dynamic gait cycles. Material selection emphasizes biocompatibility, durability, and low creep while maintaining lightness and cost-effectiveness. The research also explores data privacy, long-term reliability, and maintenance considerations for everyday use, including wear resistance of sensor-integrated textiles, battery life optimization, and wireless security. Outcomes demonstrate that the smart modular socket reduces peak interfacing pressures, minimizes hotspots, and stabilizes residual limb volume fluctuations, thereby decreasing shear-induced discomfort and skin breakdown risk. User feedback indicates enhanced sense of security during activity, easier donning and doffing, and improved confidence in multi-surface ambulation. The project contributes a scalable framework for intelligent prosthetic interfaces that blend modular mechanical design with embedded sensing and autonomous adjustment, offering a pathway toward personalized, adaptive prosthetic fitting that can be integrated into standard clinical workflows. Future work includes expanding sensor modalities to detect tissue perfusion changes, refining machine learning models for anticipatory adjustments, and conducting long-term longitudinal studies to assess usability, durability, and functional outcomes in real-world settings.

Project Overview

What This Project Is About

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A plain-language overview of the topic and what the project investigates.

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The Problem It Addresses

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What problem or gap this project tackles and why it matters to the field or society.

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Objectives of the Project

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1. Develop a modular prosthetic socket design that can accommodate different limb shapes and sizes.
2. Integrate embedded sensors to monitor fit, pressure, and temperature in real time.
3. Create a simple user interface for clinicians and users to view and adjust fit data.
4. Evaluate comfort, stability, and control during daily activities.
5. Demonstrate a data-driven approach to improve socket fit over multiple trials.

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What You Will Do Step by Step

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1. Review literature on prosthetic socket design and sensor technology.
2. Design a modular socket prototype compatible with standard components.
3. Integrate inexpensive sensors and a lightweight data logger.
4. Develop a basic user interface to display sensor readings.
5. Test with volunteer participants and collect fit data during activities.
6. Analyze pressure and temperature data to identify pressure hotspots.
7. Iterate the design based on findings and retest.
8. Prepare a final report and present results.

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Expected Outcome

Expect a functional modular socket prototype with embedded sensors that provide real-time feedback on fit, plus a simple data-driven guidance method to improve comfort and control for users.