TY - JOUR
T1 - Automatic detection of break-over phase onset in horses using hoof-mounted inertial measurement unit sensors
AU - Tijssen, M.
AU - Hernlund, E.
AU - Rhodin, M.
AU - Bosch, S.
AU - Voskamp, J.P.
AU - Nielen, M.
AU - Serra Bragança, F.M.
N1 - Publisher Copyright:
© 2020 Public Library of Science. All rights reserved.
PY - 2020/5
Y1 - 2020/5
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85085904474&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0233649
DO - 10.1371/journal.pone.0233649
M3 - Article
C2 - 32469939
AN - SCOPUS:85085904474
SN - 1932-6203
VL - 15
JO - PLoS ONE
JF - PLoS ONE
IS - 5
M1 - e0233649
ER -