Weaver, Danielle, authorTjerkstra, Bo, authorAanstoos, Megan, authorVelting, Abigail, authorNout-Lomas, Yvette, author2017-11-132017-11-132017https://hdl.handle.net/10217/184844There is a need for more reliable assessment of equine neurological disease. To score ataxia (incoordination), veterinarians currently use a grading scale from 0 to 5; however, this scale lacks discrimination and there is poor assessor agreement. In this study, data were collected from fourteen horses using inertial measurement unit (IMU) devices under normal and sedated conditions. Custom computer scripts were used to evaluate gait factors, such as pace and stride length consistency, in control and sedated data. This will aid in creating a computational program to objectively diagnose equine gaits which do not fall within normal parameters.born digitalStudent workspostersengCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.postergait analysisequine gaitxylazineataxiaMATLAB analysispreliminary gait analysisaccelerometersstride timestride lengthPreliminary computational analysis of gait data collected from xylazine-induced ataxic horses307 - Danielle Frances WeaverPreliminary computational analysis of data collected from xylazine-induced ataxic horsesText