Horses in Pain (HiP) Research
Recognition of pain in horses and other animals is important from a medical, ethical and welfare point of view. Therefore, we have developed and evaluated systematic methods to identify varying levels of equine pain. One of the most promising and sensitive indicators for equine pain are subtle changes in facial expressions, the “pain face,” an integral part of the behavioral Equine Pain Scale (EPS) that we have developed.
The SLU HiP team is led by Pia Haubro Andersen, Professor of Large Animal Surgery, Marie Rhodin, Senior Lecturer and DipACVSMR, as well as postdoctorate equine researcher Elin Hernlund. Other key members in Scandinavia are Hedvig Kjellström, Professor and Head of the Department of Robotics, Perception, and Learning at KTH and Karina Bech Gleerup in Copenhagen.
We are working on a large range of projects with a number of international collaborators in Europe as well as the US. Our projects range from developing a fully automated machine learning system for recognition of pain in horses to developing new algorithms to detect lowgrade lameness in walk as well as investigating the possible connection between asymmetry and orthopedic pain.
Finally, we give lectures, seminars, workshops and are currently creating online learning modules to complement our blog. Our target audience includes not only veterinarians and certified veterinary technicians but also horse people on all levels, including owners, breeders, trainers, stable personnel, as well as racehorse and pharmaceutical industries.