SYNTHETIC SIMULATION ENVIRONMENT

Build a digital twin from movement.

Explore an interactive simulated KineticTwin workflow using synthetic motion data. Experience how multi-modal signals transform into a living biomechanical model.

STEP 01 / 10 ILLUSTRATIVE • NO REAL PATIENT DATA

Step 01: Select Anatomical Region

Choose the musculoskeletal joint system to initialize for the digital twin simulation.

Step 02: Select Synthetic Clinical Scenario

Configure the recovery or movement profile for synthetic data generation.

Step 03: Multi-Modal Sensor Capture Simulation

Synchronizing inbound synthetic movement streams into the ingestion pipeline.

SENSOR MODALITY 01

Wearable IMU Stream

Tri-axial accelerometer & gyroscope at 200 Hz

STREAM SYNCED

SENSOR MODALITY 02

Markerless Video

Simulated optical pose landmark coordinates

POSE CALIBRATED

SENSOR MODALITY 03

Plantar Force Insole

Multi-point ground contact pressure channels

CONTACT DETECTED

Step 04: Solving Musculoskeletal Kinematics

INGESTING MULTI-MODAL SENSOR SIGNALS...

01. INGESTING SIGNALS ACROSS CHANNELS

02. NORMALIZING FREQUENCIES TO 200 Hz

03. RECONSTRUCTING 3D SKELETAL RIG

04. BUILDING COMPUTATIONAL MUSCULOSKELETAL MODEL

05. SOLVING INVERSE KINEMATICS & DEGREES OF FREEDOM

06. COMPUTING JOINT MOMENTS & ARTICULAR LOAD

07. UPDATING BIOMECHANICAL DIGITAL TWIN STATE

Simulating GPU tensor calculations. Transitioning to 3D twin viewport automatically...

Step 05: Biomechanical Digital Twin Active

Interactive 3D model reconstructed from synthetic multi-modal motion data.

SYNTHETIC TWIN ACTIVE

LAYERS:

DRAG WITH MOUSE/TOUCH TO ORBIT

Step 06: Derived Kinematic & Kinetic Metrics

Objective parameters calculated from inverse dynamic equations.

ACTIVE FLEXION ARC

118°

Baseline: 122° (-3.2%)

GAIT SYMMETRY INDEX

88.4%

Contralateral bias: 11.6%

TIBIAL CONTACT FORCE

740 N

~1.1× Body Weight

STRIDE VARIATION

±3.8%

Ambulatory regularity

Step 07: Algorithmic Deviation Detection

Comparison between normative recovery baseline and synthetic observed trajectory.

Movement Pattern Change Identified (Day 42) DIVERGENCE OBSERVED

The synthetic patient’s single-leg stance duration on the operative limb has decreased by 14% across the past 72 hours, with concurrent lateral trunk tilt of 3.8° toward the uninjured side.

CONFIDENCE INTERVAL: HIGH • DEVIATION DELTA: +2.4σ FROM COHORT MEAN

Step 08: Clinical Review Signal Dispatched

Automated pattern flag queued for professional clinician assessment.

REVIEW RECOMMENDED FLAG: LOAD ASYMMETRY

"Observed movement pattern differs from the established synthetic recovery baseline."

Care team notification generated. Does not imply adverse failure; signals a compensatory behavioral adaptation warranting follow-up review.

Step 09: Multi-Modal Evidence Dossier

Transparent telemetry, joint kinematics, and trajectory evidence compiled for the clinician.

EVIDENCE 01 • KINEMATIC DIVERGENCE

Contralateral Stance Shift

Stance time dropped from 0.68s to 0.52s on operative side during stair descent.

EVIDENCE 02 • FORCE DISTRIBUTION

Plantar Contact Delta

Heel strike impact transient diminished by 22%, indicating premature forefoot flat unloading.

Step 10: Clinician Review & Workflow Closure

Human-in-the-loop validation: The professional clinician acknowledges the signal and updates care directives.

Reviewer Intervention

Click below to simulate clinician review completion. The longitudinal recovery timeline is annotated, and patient exercise instructions are adjusted.

SIMULATION CYCLE COMPLETE