Live Demo

bioMX-ai: Multi-Sensor Fusion

Real research data from a constrained gait study (left leg locked in extension). Watch how traditional detection methods struggle — and where AI-powered fusion shines.

Dataset

  • ▸ Trial: T5 (Subject 1, Session 2)
  • ▸ Constraint: Left leg locked in extension
  • ▸ Duration: 20-second analysis window
  • ▸ Sensors: Force plates (1000Hz), EMG (2000Hz), Kinematics (100Hz)

Why This Matters

  • ▸ Force Asymmetry: Significant left-right differences from constraint
  • ▸ Traditional Limits: Threshold-based methods break down
  • ▸ AI Advantage: Pattern recognition adapts to pathological gait
  • ▸ Real Impact: Better detection → better clinical decisions

Data Pipeline

  • ▸ Multi-rate sensor synchronization (1000Hz master)
  • ▸ Real-time Chart.js visualization (60fps)
  • ▸ Interactive threshold controls with live updates

Algorithm Stack

  • ▸ Traditional: Force plate threshold detection
  • ▸ Basic Fusion: EMG + Force rule-based combination
  • ▸ AI Fusion: Multi-modal pattern recognition

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