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Fracture Immobilisation Trainer

High-fidelity cast application trainer with flow simulation, haptics, and sensing to bridge theory and clinical practice.

Haptics ESP32 Fluidics Sensors Rapid prototyping
Timeline
2025–2026 (Final Year Project)
Role
Systems integration • embedded sensing • fluidics • prototyping
Links
Fracture Immobilisation Trainer

Problem

Traditional fracture trainers are often static: they teach shape but not behaviour. We wanted a platform that makes trainees feel realistic cues (flow, compliance, feedback), and that can measure how the trainee performs — not just whether it “looks right”.

What I built

  • Fluidic pump architecture to simulate pulsatile flow through channels.
  • Subcutaneous force sensing to capture interaction forces during casting.
  • Real-time “pain index” concept on an ESP32 to turn rough handling into a measurable signal.
  • Rapid prototyping workflow (CAD → print → test → iterate) to keep development fast.

System overview

  • Anatomical core: 1:1 scale forearm and hand as the integration chassis
  • Flow pumping system: programmable pulsatile flow to replicate vascular behaviour
  • Haptics: actuators embedded in soft tissue to produce physiological cues
  • Sensing: force / interaction measurements for feedback + performance scoring
  • UI: simple interface for modes, calibration, and recording

Design decisions (examples)

  • Prioritised accessibility and cost over “perfect anatomy” — the goal is training volume and repeatable learning.
  • Designed subsystems so each can be tested in isolation before full integration (reduces integration pain).

Next steps

  • Add repeatable calibration routines (baseline, drift checks).
  • Collect pilot user data to tune thresholds and validate the “pain index” against expert assessment.