RT info:eu-repo/semantics/article
T1 Development of an Artificial Neural Network for the Detection of Supporting Hindlimb Lameness: A Pilot Study in Working Dogs
A1 Figueirinhas, Pedro
A1 Sánchez, Adrián
A1 Rodríguez, Oliver
A1 Vilar, José Manuel
A1 Rodríguez-Áltonaga Martínez, José Antonio
A1 Gonzalo Orden, José Manuel
A1 Quesada, Alexis
A2 Medicina y Cirugia Animal
K1 Veterinaria
K1 Artificial neural network
K1 Web app
K1 Lameness
K1 Dog
K1 Inertial sensor
K1 3109 Ciencias Veterinarias
AB [EN] Subjective lameness assessment has been a controversial subject given the lack of agreement between observers; this has prompted the development of kinetic and kinematic devices in order to obtain an objective evaluation of locomotor system in dogs. After proper training, neural networks are potentially capable of making a non-human diagnosis of canine lameness. The purpose of this study was to investigate whether artificial neural networks could be used to determine canine hindlimb lameness by computational means only. The outcome of this study could potentially assess the efficacy of certain treatments against diseases that cause lameness. With this aim, input data were obtained from an inertial sensor positioned on the rump. Data from dogs with unilateral hindlimb lameness and sound dogs were used to obtain differences between both groups at walk. The artificial neural network, after necessary adjustments, was integrated into a web management tool, and the preliminary results discriminating between lame and sound dogs are promising. The analysis of spatial data with artificial neural networks was summarized and developed into a web app that has proven to be a useful tool to discriminate between sound and lame dogs. Additionally, this environment allows veterinary clinicians to adequately follow the treatment of lame canine patients
PB MDPI
LK https://hdl.handle.net/10612/18501
UL https://hdl.handle.net/10612/18501
NO Figueirinhas, P., Sanchez, A., Rodríguez, O., Vilar, J. M., Rodríguez-Altónaga, J., Gonzalo-Orden, J. M., & Quesada, A. (2022). Development of an Artificial Neural Network for the Detection of Supporting Hindlimb Lameness: A Pilot Study in Working Dogs. Animals, 12(14). https://doi.org/10.3390/ANI12141755
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 12-may-2024