Equine Motion and Physiology System for Research and Teaching
The EquuSense system is a sophisticated, powerful and flexible telemetry and informatics system that provides unrivalled data on how horses move and their physiological performance, while walking, trotting, cantering, or galloping. Each sensor node provides objective and reproducible information on position, velocity, acceleration, orientation and rotation, relative to the horse or a global frame of reference, to an accuracy of a few millimeters or a few degrees, up to 1,000 times per second. It can be customized with a variety of sensors to measure other key physiological parameters or environmental conditions.
The EquuSense system is designed to support research and teaching, such as in equine veterinary schools or clinic, with a baseline configuration that includes all the key elements:
Four (4) wireless position sensor nodes and attachments
Customized physiological sensor packages
17" Apple Macbook Pro
Software, open interfaces to data, linkages to MATLAB and on-line service support
The EquuSense system has applications throughout equine research and teaching, in fields such as orthopaedics, gait analysis and biomechanics:
Objective evaluation in clinical trials to support evidence-based medicine
Motion capture and analysis, for insight into biomechanics and physiology
Developing biomechanical models
Illustrating normal and abnormal motion
Teaching and developing diagnostic skills
Evidence-based medicine is becoming increasingly important. The EquuSense system provides unrivalled objective data on equine biomechanics and physiology under real-world conditions. EquuSys has worked closely with leading researchers since its foundation, and will continue to collaborate closely with leading research and teaching institutions, such as equine veterinary schools, hospitals and clinics to support their research and teaching. It is committed to enabling evidence-based medicine to provide fresh insights and transform clinical practice throughout the equine industry.
