Strength testing returns numbers. Movement quality is still a visual guess.
CoreMotion is built on a simple gap in the research: rehab decisions still lean on the eye, not the data.
of clinicians rate their return-to-sport testing as excellent
Most know their current protocols fall short.
of lower-limb injuries are non-contact
How an athlete moves is the missing link.
Four steps from problem to product
Every step is carried by peer-reviewed work. Follow the line.
Nobody agrees what recovered means.
Return-to-sport testing has no shared standard. Ask 1,154 clinicians in 78 countries how they clear an athlete and you get 157 different combinations of tests. Almost everyone uses multiple devices, averaging 3.6 of them. Fewer than half test against defined criteria at all.
The core is where the answer lives.
Core stability is not a posture. It is the ability to control the trunk over the pelvis while force transfers out to the limbs, which means it has to be judged dynamically, in three planes. And it is not academic: core capacity measured before a season predicts who gets injured during it.
Where the trunk goes, the knee pays.
Constrain the trunk during a cut and knee energy absorption jumps by roughly a quarter. Train an athlete to cut faster and the same braking mechanics that buy the speed also drive the knee abduction moment. Performance and risk share a mechanism, so watching one without the other is guesswork. Trunk control is also trainable, which is what makes measuring it useful rather than merely interesting.
Objective movement data makes the call.
Return to performance demands sport-specific, criteria-based decisions across multiple domains, not a date on a calendar. And movement data reaches further than the eye does: fused kinematics and muscle activation classify fear of re-injury at 86% accuracy, with trunk tilt among the strongest predictors. That is a readiness signal a questionnaire cannot reach.
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