MODULE 01
Dynamic Musculoskeletal Representation
A true digital twin is not a static 3D anatomical render. It is a stateful mathematical model maintaining continuous estimates of joint kinematics, muscle activation states, and articular stress histories across weeks and months of recovery.
Topological Rigging
Rigid body segments with patient-scaled anthropometry.
Temporal Continuity
Longitudinal tracking across consecutive recovery epochs.
Vector Overlay
Real-time projection of force trajectories on anatomy.
MODULE 02
Passive Wearable & Ambient Ingestion
Captures real-world physical behavior without requiring specialized optical gait laboratories. Accepts streaming telemetry from low-power IMUs, smart insoles, and periodic smartphone camera assessments.
Zero Optical Markers
Natural uninhibited patient clothing and locomotion.
Passive Background Log
Automatic packet caching during intermittent connectivity.
Adaptive Calibration
Continuous drift compensation during daily activities.
MODULE 03
Extended Kalman Filter Sensor Fusion
Merges heterogeneous data streams operating at differing sample rates into a unified biomechanical coordinate frame. Mitigates high-frequency inertial noise while preserving transient heel-strike impact kinematics.
DATA IN: [IMU: 200 Hz] + [VISION: 30 FPS] + [INSOLE: 100 Hz] → FUSED ESTIMATE: 6-DOF TENSOR (200 Hz)
MODULE 04
Anatomical Landmark Spatial Regression
Deep convolutional and transformer backbones predict 3D joint centers from standard monocular smartphone recordings. Estimates pelvic rotation, knee flexion angles, and coronal trunk lean directly from video.
Privacy Preserving: Raw video frames are discarded immediately following on-device landmark extraction. Only geometric coordinate vectors are transmitted to the secure pipeline.
MODULE 05
Multi-Segment Rigid Body Mechanics
Models anatomical joints as constrained mechanical pairs: hinge joints at the tibiofemoral interface, spherical joints at the acetabulofemoral junction, and multi-segment articulation across the vertebral column.
MODULE 06
Inverse Dynamics Solver
Computes internal joint reaction forces and net moments. Quantifies the Knee Adduction Moment (KAM)—a primary biomechanical metric associated with medial compartment loading in orthopedic recovery.
MODULE 07
Contact Surface Stress Fields
Translates dynamic joint forces into simulated pressure distributions across articular surfaces and orthopedic implant interfaces. Surfaces high-impact contact zones during asymmetric weight-bearing.
MODULE 08
Algorithmic Anomaly & Pattern Flags
Continuously evaluates ambulatory trends against patient-specific baseline trajectories. Flags abnormal offloading, compensatory limping, or persistent stance reductions for clinical review.
MODULE 09
Epochal Recovery Benchmarking
Tracks progress across distinct clinical milestones: Day 01 acute discharge, Day 14 staple removal, Day 42 functional transition, and Day 90 full weight-bearing return.
MODULE 10
Human-in-the-Loop Clinical Observatory
Presents verified biomechanical signals in an intuitive clinical observatory. Designed to enhance professional judgment without introducing unverified autonomous diagnostic claims.