{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T16:14:28Z","timestamp":1789661668241,"version":"4.0.1"},"reference-count":38,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T00:00:00Z","timestamp":1786665600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T00:00:00Z","timestamp":1786665600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["beva.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Equine Veterinary Journal"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>\n                      Back pain and poor performance in horses are difficult to assess objectively and thoracolumbar flexion\u2010extension range of motion (FE\n                      <jats:sub>ROM<\/jats:sub>\n                      ) is not reliably evaluated by subjective observation alone. A handheld, smartphone\u2010based markerless computer vision system (RealHorse\u00ae; RH) may enable objective clinical and field\u2010based FE\n                      <jats:sub>ROM<\/jats:sub>\n                      assessment but requires validation against an established optical motion capture reference system (Qualisys\u00ae; QS).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>\n                      To compare the accuracy and precision of RH relative to QS for measuring FE\n                      <jats:sub>ROM<\/jats:sub>\n                      in horses trotting on a straight line and on a circle.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Study Design<\/jats:title>\n                    <jats:p>Cross\u2010sectional comparative validation study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Fifty\u2010nine horses were recorded trotting on a straight line; 23 of these were also recorded on a circle. Data were collected simultaneously using RH and QS, with a light source for manual frame\u2010level synchronisation. The validation videos of horses were not used to train the RH algorithm. Agreement between RH and QS was analysed separately for straight\u2010line and circular trot at stride and trial levels using mean signed error (MSE), mean absolute error (MAE), and Bland\u2013Altman limits of agreement (LoA).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>On the straight\u2010line, stride\u2010level MSE was \u22120.08\u00b0, MAE 0.96\u00b0, and LoA \u22122.49\u00b0 to 2.32\u00b0. Trial\u2010level agreement was high, with MSE \u22120.13\u00b0, MAE 0.44\u00b0, and LoA \u22121.22\u00b0 to 0.94\u00b0. On the circle, stride\u2010level MSE was \u22120.71\u00b0, MAE 1.14\u00b0, and LoA \u22123.17\u00b0 to 1.74\u00b0. At the trial\u2010level, variability was moderate (MSE \u22120.62\u00b0, MAE 0.78\u00b0, LoA \u22122.18\u00b0 to 0.93\u00b0). Overall agreement was lower on the circle than on the straight\u2010line and higher at trial\u2010level than at stride\u2010level.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Clinically, RH may support objective clinic and field\u2010based monitoring of thoracolumbar flexion\u2010extension range of motion, especially for repeated within\u2010horse assessments, but decision thresholds remain to be established. Stride\u2010level agreement between RH and QS was influenced by expected stride\u2010to\u2010stride variability, whereas averaging across strides improved agreement at the trial\u2010level.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/evj.70310","type":"journal-article","created":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T09:53:06Z","timestamp":1786701186000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Validation of a handheld smartphone markerless method for quantifying thoracolumbar flexion\u2013extension range of motion in horses at trot"],"prefix":"10.1002","author":[{"given":"Maria Rosendahl","family":"Christensen","sequence":"first","affiliation":[{"name":"iKeyVet  Fredensborg Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jakob","family":"Kirkegaard","sequence":"additional","affiliation":[{"name":"Keydiagnostics (RealHorse\u00ae)  Fredensborg 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