AiKYNETIX: Clinical Methodology for Runner Diagnostics

2026-01-28 08:57 Articles Explainers

An evidence-based framework linking gait mechanics to actionable interventions.

1 Clinical Purpose

This protocol establishes a repeatable, field-ready methodology for assessing running gait using markerless motion capture. By utilizing the AiKYNETIX engine, practitioners can synthesize complex biomechanical data into clinical insights, facilitating targeted interventions and objective "Return-to-Play" (RTP) validation.

2 Target Users

Sports Medicine & Rehab: Physical Therapists, Athletic Trainers, and Orthopedic Specialists.
Performance Staff: Sports Scientists, Strength & Conditioning (S&C) Coaches.
Institutional Athletics: High-performance centers, academies, and clinical gait labs.

3 The Diagnostic Hierarchy

AiKYNETIX deconstructs a running bout into a three-tiered analytical framework, moving from macro-level rhythm to micro-level joint kinematics.

Tier 1: Spatiotemporal Parameters Foundational metrics including cadence, stride length, and Ground Contact Time (GCT). Used for rapid screening and establishing mechanical rhythm.
Tier 2: Kinematic Profiles Detailed joint-angle time series across the gait cycle. Used for pattern recognition and identifying compensatory strategies.
Tier 3: Advanced Biomechanical Insights Physics-derived loading proxies and movement quality indices. Used for deep-dive decision support and longitudinal trend tracking.

Fig 1. Interactive AiKYNETIX Web Dashboard: Spatiotemporal & Kinetic Overview.

4 Standard Operating Procedure (SOP)

To ensure data integrity and clinical reliability, follow this repeatable diagnostic loop:

Data Acquisition: Record 20–60s of running (Sagittal view mandatory; Posterior view recommended for frontal plane analysis).
Processing: Generate gait phase reports and joint-angle time series.
Synthesis: Prioritize 3–5 key metrics against 1–2 specific kinematic patterns.
Clinical Trial: Implement a specific intervention (e.g., verbal cueing, speed modulation, footwear change).
Validation (Re-test): Standardize speed/setup and re-capture to quantify the mechanical delta.
Longitudinal Tracking: Monitor weekly snapshots to identify trends in adaptation or fatigue.

5 Primary KPI Triage

Focus on these five sensitive metrics to drive clinical decision-making:

M E T R I C	C L I N I C A L S I G N I F I C A N C E
Cadence (spm)	The primary lever for modulating joint loading and overstride mechanics.
Ground Contact Time (GCT)	A proxy for leg stiffness, elastic recoil, and neuromuscular fatigue.
Stride Length	Evaluated relative to speed; excessive length often suggests high braking forces (overstriding).
Symmetry Indices	Critical for identifying compensations and monitoring Return-to-Run readiness.
Kinematic Signatures	Analysis of joint-angle peaks (Hip/Knee/Ankle) to detect strategy shifts.

6 Clinical Pattern Recognition

Diagnosis should never rely on a single data point. Integrate metrics, time-series data, and the athlete’s subjective symptomology.

Fig 2. Multi-Joint Kinematic Tracking and Peak Angle Profiles in the AiKYNETIX Web Platform.

6.1 Mechanical Red Flags

Persistent Asymmetry: Significant side-to-side variance suggests active guarding or incomplete rehab.
Efficiency Decay: A simultaneous drop in cadence and rise in GCT at a constant speed indicates neuro-mechanical fatigue.
Overstride Signature: Increased stride length with decreased cadence at a constant velocity.

6.2 Common Clinical Profiles

Fig 3. AiKYNETIX Advanced Biomechanical Insights: CoM Oscillation and Trunk ROM.

P R E S E N T A T I O N	M E T R I C S I G N A L S	K I N E M A T I C F O C U S
Anterior Knee Pain (PFPS)	Low cadence; High GCT; High stride length.	Peak knee flexion in stance; hip adduction/rotation proxies.
Achilles / Calf Loading	Elevated GCT; Reduced cadence; "Reaching" behavior.	Ankle dorsiflexion excursion; ankle vs. hip strategy shifts.
Hip Extension Deficit	Reduced stride length; Increased cadence as compensation.	Peak hip extension and terminal stance timing.
Return-to-Run (RTP)	Symmetry Index (Primary KPI); GCT drift (Secondary).	Bilateral timing differences; consistency across the session.

7 Intervention-to-Metric Mapping

Use this table to predict how specific "levers" will shift the athlete's mechanical profile.

I N T E R V E N T I O N	E X P E C T E D D E L T A	A P P L I C A T I O N
Cadence Modulation (+5–10%)	⭡ Cadence; ⭣ Stride Length; ⭣ GCT.	Reducing patellofemoral and Achilles loading.
Speed Standardization	Ensures baseline reliability for longitudinal tracking.	Essential for RTP and rehab monitoring.
Incline Adjustment	Alters joint-work distribution; modulates GCT.	Shifting load from the knee to the posterior chain.
Neuromuscular Cues (e.g., "Quiet Feet")	⭣ GCT variability.	Improving running economy and impact management improves rhythm.

Fig 4. Longitudinal Analysis: Metric Delta Comparison Mode in the AiKYNETIX Web Platform.

8 Data Integrity & Filming Specs

To maintain "lab-grade" reliability in a field setting, adhere to the following specifications:

Hardware: Tripod-mounted device, minimum 60 fps.
Environment: Consistent, bright lighting; uncluttered background; no backlighting.
Subject: Form-fitting athletic apparel to ensure clear visibility of joint centers.
Framing: Full-body capture; do not truncate the distal extremities (feet/ankles).

Fig 5. Automated PDF/HTML Clinical Diagnostic Report in the AiKYNETIX Web Platform.

Download your free PDF checklist to streamline your clinical workflow.

Antoine Mattier