Correction: Automatic detection of break-over phase onset in horses using hoof-mounted inertial measurement unit sensors

Autor: Tijssen, M., Hernlund, E., Rhodin, M., Bosch, S., Voskamp, J. P., Nielen, M., Serra Braganςa, F. M., FAH Evidence based Veterinary Medicine, dFAH AVR, Afd Algemeen Paard, Hafd Onderwijsadvies en training
Přispěvatelé: Pervasive Systems
Rok vydání: 2020
Předmět:
Hoof and Claw
Inertia
Physiology
Velocity
Biosensing Techniques
Walking
0403 veterinary science
Gait (human)
Medical Bioscience
Medicine and Health Sciences
Musculoskeletal Diseases
Musculoskeletal System
Mammals
Multidisciplinary
Feet
Physics
Applied Mathematics
Simulation and Modeling
Classical Mechanics
Eukaryota
04 agricultural and veterinary sciences
Biomechanical Phenomena
Signal Filtering
Warmblood
Physical Sciences
Vertebrates
Medicine
Legs
Engineering and Technology
Anatomy
Wireless Technology
Algorithms
Research Article
Materials science
040301 veterinary sciences
Hoof
Science
Acoustics
Musculoskeletal Physiological Phenomena
Acceleration
Equines
Phase (waves)
Angular velocity
Research and Analysis Methods
Motion
Inertial measurement unit
Animals
Force platform
Horses
Biological Locomotion
0402 animal and dairy science
Organisms
Correction
Biology and Life Sciences
Toes
040201 dairy & animal science
Body Limbs
Amniotes
Signal Processing
Horse Diseases
Mathematics
Zdroj: PLoS ONE
PLoS ONE, Vol 15, Iss 5, p e0233649 (2020)
PLoS ONE, 15(5):e0233649. Public Library of Science
PLoS ONE, Vol 15, Iss 7, p e0236181 (2020)
PLoS One, 15(7). Public Library of Science
ISSN: 1932-6203
Popis: A prolonged break-over phase might be an indication of a variety of musculoskeletal disorders and can be measured with optical motion capture (OMC) systems, inertial measurement units (IMUs) and force plates. The aim of this study was to present two algorithms for automatic detection of the break-over phase onset from the acceleration and angular velocity signals measured by hoof-mounted IMUs in walk and trot on a hard surface. The performance of these algorithms was evaluated by internal validation with an OMC system and a force plate separately. Seven Warmblood horses were equipped with two wireless IMUs which were attached to the lateral wall of the right front (RF) and hind (RH) hooves. Horses were walked and trotted over a force plate for internal validation while simultaneously the 3D position of three reflective markers, attached to lateral heel, lateral toe and lateral coronet of each hoof, were measured by six infrared cameras of an OMC system. The performance of the algorithms was evaluated by linear mixed model analysis. The acceleration algorithm was the most accurate with an accuracy between -9 and 23 ms and a precision around 24 ms (against OMC system), and an accuracy between -37 and 20 ms and a precision around 29 ms (against force plate), depending on gait and hoof. This algorithm seems promising for quantification of the break-over phase onset although the applicability for clinical purposes, such as lameness detection and evaluation of trimming and shoeing techniques, should be investigated more in-depth.
Databáze: OpenAIRE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje