AI-Assisted Foot Drop Calculation

Enhance patient outcomes with accurate, real-time analysis for effective treatment and rehabilitation strategies.

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Overview

Developed at Queen Margaret University, this innovative research project leverages AI and machine learning to revolutionize the management of foot drop, enhancing shared decisionmaking and patient-centered care.

The Problem

Traditional methods for assessing and managing foot drop lack the precision and personalization that modern technology can offer.

Our Solution

Our AI-assisted system predicts gait biomechanics metrics to aid in foot drop management decisions:

  • Smart Device Analysis: Utilizes video from smart devices to analyze gait biomechanics.
  • Gold Standard Validation: Validated against the industry-leading VICON system.
  • AI-Powered Management: Integrates with an AI program to create personalized

Key Features

Machine learning for accurate gait analysis

AI-driven decision support for clinicians

User-friendly interface using common smart devices

Validated against high-end research equipment

Current Status

A functional prototype has been developed, with product development actively in progress.

Innovation Impact

This technology promises to bring research-grade gait analysis to clinical settings, potentially improving outcomes for foot drop patients through more informed, data-driven decision-making

Transforming foot drop management with the power of AI and machine learning – precision care at your fingertips.

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