Neuromuscular Control Assessment

£125.00

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  • EUR (โ‚ฌ 145.00)

Two people can jump exactly the same height and land completely differently โ€” one with clean, controlled joint mechanics, the other with a knee collapsing inward or a trunk pitching off-line. That difference is invisible to a power number, and it’s one of the best-established predictors of joint injury risk in the research, at any age. This assessment combines video (for what only video can see โ€” joint alignment and movement quality) with motion sensors (for what only they can measure โ€” sway, landing impact, reaction speed) to score how well your body is actually controlled, not how much force it produces.

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Descrizione

Power measures output โ€” how much force, how fast. Neuromuscular control measures something genuinely different: how well your nervous system coordinates your joints to stay stable while that force is being produced and absorbed, particularly under landing, deceleration, or unexpected demand. It’s the mechanism behind why one person’s knee tracks cleanly on landing while another’s collapses inward under the same load โ€” a difference a jump-height number can’t see at all, and one that’s consistently linked to injury risk in the research.

This matters just as much outside of sport as within it. Reactive balance and joint control are core predictors of fall risk and fall recovery as people age โ€” the same underlying quality, just tested against a different demand, and worth knowing about whether the goal is staying injury-free in training or staying steady on your feet for the next thirty years.

Every task here is assessed two ways at once: video captures what only video can โ€” joint alignment, trunk control, movement quality โ€” while motion sensors capture what only they can: sway velocity, landing impact and asymmetry, and reaction latency. Neither replaces the other; together they turn “that landing looked a bit off” into a specific, quantified finding.

The testing battery:

– Landing mechanics โ€” video scores knee alignment, trunk control and foot positioning on a drop landing; the sensor adds landing deceleration rate and left/right loading asymmetry, so the visual score comes with a real number behind it.
– Single-leg dynamic balance โ€” multidirectional reach under single-leg stance, scored left and right independently; the sensor captures sway velocity and postural stability during the hold, not just how far you reached.
– Reactive balance / perturbation response โ€” an unexpected manual perturbation, with the sensor measuring time-to-stabilization: how long it takes your balance to actually settle back down, not just whether you stayed on your feet.
– Unanticipated movement control โ€” a change-of-direction task triggered by a reaction cue rather than a pre-planned pattern; video scores movement quality, the sensor times the gap between the cue and your first detectable movement โ€” splitting the result into how fast you reacted and how well you moved once you did.

What you’ll get:
– A full written report combining video-scored movement quality and sensor-measured data for each task, left and right where applicable
– Specific flags on any control deficit linked to injury risk (e.g. knee valgus on landing, slow reactive stabilization) โ€” described precisely, not just a pass/fail
– Targeted corrective and control-focused training recommendations, distinct from the strength or power work the other assessments point to