{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:36:53Z","timestamp":1760150213006,"version":"build-2065373602"},"reference-count":40,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2023,10,25]],"date-time":"2023-10-25T00:00:00Z","timestamp":1698192000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>The development of algorithms applied to new technologies allows a better understanding of many of the movements in team sports. The purpose of this work was to analyze the validity, precision, and reproducibility of an algorithm to detect angulation of changes of direction (CoDs) while running, of between 45\u00b0 and 180\u00b0, both to the left and the right at different speeds, in a standardized context. For this, five participants performed a total of 200 CoDs at 13 km\/h and 128 CoDs at 18 km\/h while wearing three inertial sensors. The information obtained from the sensors was contrasted with observation and coding using high-resolution video. Agreement between systems was assessed using Bland\u2013Altman 95% limits of agreement as well as effect size (ES) and % difference between means. Reproducibility was evaluated using the standard error (CV%). The algorithm overestimated the angulation of 90\u00b0 and 135\u00b0 to the right (Cohen\u2019s d &gt; 0.91). The algorithm showed high precision when the angulations recorded at 13 km\/h and 18 km\/h were compared, except at 45\u00b0 to the left (mean bias = \u22122.6\u00b0; Cohen\u2019s d = \u22120.57). All angulations showed excellent reproducibility (CV &lt; 5%) except at 45\u00b0 (CV = 11%), which worsened when the pre-CoD speed was 18 km\/h (CV &lt; 16%). The algorithm showed a high degree of validity and reproducibility to detect angles during CoDs.<\/jats:p>","DOI":"10.3390\/a16110496","type":"journal-article","created":{"date-parts":[[2023,10,25]],"date-time":"2023-10-25T06:19:58Z","timestamp":1698214798000},"page":"496","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Agreement, Accuracy, and Reliability of a New Algorithm for the Detection of Change of Direction Angle Based on Integrating Inertial Data from Inertial Sensors"],"prefix":"10.3390","volume":"16","author":[{"given":"Roberto","family":"Avil\u00e9s","sequence":"first","affiliation":[{"name":"Department of Physical Education and Sport, Faculty of Education and Sport, University of the Basque Country (UPV\/EHU), 01007 Vitoria-Gasteiz, Spain"}]},{"given":"Diego","family":"Brito de Souza","sequence":"additional","affiliation":[{"name":"Department of Physical Education, Faculty of Education and Sport, University State of Londrina, Londrina 86057-970, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9091-0897","authenticated-orcid":false,"given":"Jos\u00e9","family":"Pino-Ortega","sequence":"additional","affiliation":[{"name":"Department of Physical Activity and Sport, Faculty of Sport Science, University of Murcia, Argentina 19, 30720 Murcia, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5167-5284","authenticated-orcid":false,"given":"Julen","family":"Castellano","sequence":"additional","affiliation":[{"name":"Research Group GIKAFIT, Department of Physical Education and Sport, Faculty of Education and Sport, University of the Basque Country (UPV\/EHU), 01007 Vitoria-Gasteiz, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,25]]},"reference":[{"key":"ref_1","first-page":"63","article-title":"Physical Demands of Different Positions in FA Premier League Soccer","volume":"6","author":"Bloomfield","year":"2007","journal-title":"J. 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