The Biomechanics of Multiple Limb Lameness: Separating Secondary from Compensatory
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read moreWhether diagnosing subtle performance issues or guiding recovery to pre-injury baseline, lameness measurement provides data your eye can’t see.
Similar to a microscope or telescope, veterinarians can use the Q’s inertial sensors to quantify
equine lameness and measure motion with superior resolution.
If you have any questions or are interested in getting an Equinosis Q for your clinic or practice, send us a message, and we will be happy to help!
Request InfoQuantify equine lameness with wireless sensors that track horse movement accurately to less than 1 millimeter.
Algorithms, based on decades of equine research, compute precise lameness metrics the human eye can’t see.
*The Equinosis Q with Lameness Locator® is sold only to licensed registered veterinarians. The Equinosis Q is a sophisticated medical diagnostic tool. Analytical output must be interpreted by a licensed veterinarian skilled in equine lameness evaluations and trained in the use of this equipment. The Q should only be used in conjunction with a complete veterinary examination to determine the clinical significance of measurements. Attempts to use or interpret Q results in clinical cases without such examination are discouraged./em>
The Equinosis Q with Lameness Locator® provides the veterinarian with an objective assessment of a horse’s movement. Subtle changes in symmetry of movement can be missed due to the limited temporal resolution of the human eye.
Multiple limb or compensatory lameness can further complicate what is observed. Equinosis Q inertial sensors sample 10x faster than the human eye, allowing for detection of very subtle differences in symmetry between the right and left halves of stride.
Objective quantification of improvement can be obtained while blocking horses with diagnostic analgesia, enabling the veterinarian to better assess whether the lameness has been localized. Sequential evaluations also provide objective information on response to therapies, or improvement of an injury during a rehabilitation process.
The analysis informs the veterinarian of asymmetries in vertical head and pelvic positions between right and left halves of stride indicative of equine lameness. It indicates which limb or limbs are exhibiting lameness, the amplitude of fore and or hind limb lameness, and lastly, when peak pain is occurring during the stride cycle, i.e. is it a lameness that is primarily “felt” by the horse at impact, mid-stance or push off. The analysis is supplied in a single page report, providing an overall qualitative assessment in a graphical stride plot diagram, as well as individual calculations of asymmetry variables for both fore and hind limbs.
Yes, with a few caveats.
Yes; however, it is best to compare the results of flexion tests with results of a controlled trial, without flexion, with the horse trotting off in one direction for 8-10 strides. Use of thresholds and 95% confidence intervals determined by a collection of at least 25 strides is not recommended.
Yes, the dual reporting capability of Lameness Locator software is ideal for this purpose. Significant positive results of blocking are indicated by a shifting of variable amplitude outside the 95% confidence interval range (see training resources).
Data is collected in real time.
Data is analyzed immediately after collection. Analysis time ranges from a few seconds to about 15 seconds depending on the number of strides collected.
The limiting factor is the tablet computer. The recommended rugged models are rated for use between -10C and 55C.
Yes. The rugged tablet and sensors have a water-resistant design. However, neither are “water proof” – meaning they should not be submerged in water – but they are designed and intended for use in rainy, muddy conditions.
Yes, which is why Lameness Locator (LL) compensates for size programmatically. LL evaluates the expected vertical torso movement for an individual horse which correlates to its size and applies a correction factor.
Even miniature horses can be accurately evaluated using LL.