Abstracts represent current interpretations — not final clinical prescriptions. Data summaries are aggregated and non-identifiable. Full datasets and manuscripts are released only through governed academic pathways. Do not cite non-peer-reviewed abstracts as established evidence.
Available Abstracts
Six structured abstracts across four research streams — spanning gait mechanics, spine load science, neuromuscular research, and clinical movement assessment.
Localised fatigue alters biomechanical strategies during locomotion. Plantar pressure distribution is a clinically accessible measure of load-transfer behaviour, yet fatigue-driven adaptations in regional pressure patterns during barefoot running remain poorly characterised.
To quantify region-specific changes in peak plantar pressure during barefoot running following controlled fatigue exposure across heel, midfoot, and forefoot regions.
Repeated-measures design. Controlled fatigue protocol applied prior to each running trial. Plantar pressure measured using validated pressure insoles. Statistical analysis: paired comparisons with effect sizes reported.
Fatigue induced region-specific increases in peak plantar pressures in heel, midfoot, and forefoot. Findings suggest fatigue-driven adaptation in distal load tolerance and altered force-transfer strategies during prolonged locomotion.
Fatigue produces measurable, region-specific changes in plantar load distribution that may elevate overuse injury risk and alter running economy under prolonged conditions. Implications for load-management strategy selection in distance running populations.
Current clinical and coaching models of squat assessment are dominated by anatomical and positional descriptors that fail to capture force transmission, constraint-driven movement organisation, and adaptive strategy selection under load.
To propose a system-level biomechanical framework for squat assessment prioritising force transmission, proximal stability, and constraint-driven movement organisation over isolated positional criteria.
Conceptual framework development grounded in published biomechanical literature. Joint-by-joint analysis applied to squat mechanics. Clinical decision logic derived from load-path modelling and kinematic-kinetic integration principles.
A multi-level decision framework was constructed identifying primary mechanical drivers (pelvic control, proximal stability), secondary resultants (knee mechanics), and corrective sequencing logic. Movement patterns are classified as adaptive strategies rather than isolated faults.
Reframing the squat as a diagnostic stress test rather than a form-matching exercise supports improved clinical reasoning in assessment, correction sequencing, and load progression across rehabilitation and performance contexts.
Bilateral asymmetry in barbell squatting is typically framed as a technical error. However, GRF and kinematic data suggest asymmetry may represent a protective or compensatory strategy under increasing load rather than a correctable fault.
To evaluate unilateral load bias and asymmetrical GRF distribution during barbell squatting, and to assess whether asymmetry escalates with progressive loading in a predictable, directional manner.
Applied biomechanics analysis with quantitative GRF and 3D kinematic data. Metrics: inter-limb GRF ratio, pelvic rotation angle, limb dominance index across progressive load conditions.
Asymmetry demonstrated load-dependent amplification of pelvic rotation and limb dominance. GRF asymmetry increased predictably with load magnitude. The "hidden single-leg squat" phenomenon was characterised and quantified.
Asymmetry in barbell squatting should be reframed as a measurable and modifiable biomechanical phenomenon with protective functions under load. Corrective strategies should target root mechanical drivers rather than surface positional asymmetry alone.
Knee abduction cues ("knees out") are widely applied in strength and rehabilitation coaching. Despite prevalence, the biomechanical consequences of maximal forced abduction across a large observational sample had not been systematically evaluated.
To evaluate load-path efficiency, depth mechanics, and shear demands associated with forced maximal knee abduction cueing during squatting across a multi-centre observational dataset.
Multi-centre observational analysis. Neutral vs maximal abduction compared across kinematics, GRF, and depth metrics. Large subject pool across training backgrounds. Foot-tripod stability assessed.
Forced maximal abduction disrupts natural load paths, compromises squat depth mechanics, and increases shear demands at the knee and hip under load. Over-simplified cueing models identified as source of mechanical disadvantage.
Context-sensitive movement correction is indicated over maximal abduction cueing. Findings challenge the assumption that "more abduction is more stable" — particularly under load. Published in JMMBS.
Hypertrophic adaptation is the dominant model for performance improvement in strength training. However, neural drive efficiency — encompassing motor unit recruitment thresholds and discharge rate behaviour — may explain a significant proportion of performance differentiation that hypertrophy models cannot account for.
To characterise motor unit recruitment ceilings and rate-coding strategies in strength-dominant versus explosive athletes during progressive isometric loading.
Surface EMG normalised to MVIC. Rate coding analysis. Motor unit behaviour assessed across progressive isometric load levels. Neuromuscular asymmetry indices calculated. Group comparisons with effect sizes.
Explosive athletes demonstrated earlier motor pool recruitment and enhanced discharge rate capacity compared to recreationally trained controls. Neural differentiation was independent of cross-sectional area — confirming neural efficiency as a distinct adaptive construct.
Neural efficiency metrics provide clinically and scientifically meaningful differentiation between athlete types beyond hypertrophic adaptation. EMG amplitude alone is insufficient as a performance indicator. Manuscript prepared for submission to peer-reviewed journal.
Binary movement screening tools lack the granularity to support staged clinical decision-making. Existing tools produce single ordinal scores without population-stratified normative references or biomechanical flaw stratification.
To describe the architecture, scoring logic, and clinical application of MMSx-SCAN™ — producing a composite Movement Intelligence Index (MII, 0–100) across seven biomechanical domains.
Framework development grounded in biomechanical principles across 7 orthogonal domains. ICC(2,1) reliability study conducted (n=120, 5 raters). Normative percentile tables derived from n=870 cohort. Prescription protocol logic defined across BPIT, NEEBAL, MOVE, and HYBRID pathways.
MII composite ICC = 0.955 (95% CI: 0.944–0.968). MDC₉₅ = 6.24 MII points. Normative tables published across training level, age group, and gender. Framework exceeds published FMS reliability (0.61–0.88).
MMSx-SCAN™ demonstrates clinically acceptable to excellent inter-rater reliability and provides the first open normative reference dataset for a multidimensional movement intelligence tool. Multi-site registry validation ongoing (MMSx-STU-005).
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