Literature DB >> 30707134

Assessment of a Novel Algorithm to Determine Change-of-Direction Angles While Running Using Inertial Sensors.

Aaron S Balloch1,2, Mahir Meghji3, Robert U Newton1,4, Nicolas H Hart1,4,5,6, Jason A Weber1,2, Iftekhar Ahmad3, Daryoush Habibi3.   

Abstract

Balloch, AS, Meghji, M, Newton, RU, Hart, NH, Weber, JA, Ahmad, I, and Habibi, D. Assessment of a novel algorithm to determine change-of-direction angles while running using inertial sensors. J Strength Cond Res 34(1): 134-144, 2020-The ability to detect and quantify change-of-direction (COD) movement may offer a unique approach to load-monitoring practice. Validity and reliability of a novel algorithm to calculate COD angles for predetermined COD movements ranging from 45 to 180° in left and right directions was assessed. Five recreationally active men (age: 29.0 ± 0.5 years; height: 181.0 ± 5.6 cm; and body mass: 79.4 ± 5.3 kg) ran 5 consecutive predetermined COD trials each, at 4 different angles (45, 90, 135, and 180°), in each direction. Participants were fitted with a commercially available microtechnology unit where inertial sensor data were extracted and processed using a novel algorithm designed to calculate precise COD angles for direct comparison with a high-speed video (remotely piloted, position-locked aircraft) criterion measure. Validity was assessed using Bland-Altman 95% limits of agreement and mean bias. Reliability was assessed using typical error (expressed as a coefficient of variation [CV]). Concurrent validity was present for most angles. Left: (45° = 43.8 ± 2.0°; 90° = 88.1 ± 2.0°; 135° = 136.3 ± 2.1°; and 180° = 181.8 ± 2.5°) and Right: (45° = 46.3 ± 1.6°; 90° = 91.9 ± 2.2°; 135° = 133.4 ± 2.0°; 180° = 179.2 ± 5.9°). All angles displayed excellent reliability (CV < 5%) while greater mean bias (3.6 ± 5.1°, p < 0.001), weaker limits of agreement, and reduced precision were evident for 180° trials when compared with all other angles. High-level accuracy and reliability when detecting COD angles further advocates the use of inertial sensors to quantify sports-specific movement patterns.

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Year:  2020        PMID: 30707134     DOI: 10.1519/JSC.0000000000003064

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  4 in total

1.  Proposal of an Alpine Skiing Kinematic Analysis with the Aid of Miniaturized Monitoring Sensors, a Pilot Study.

Authors:  Caterina Russo; Elena Puppo; Stefania Roati; Aurelio Somà
Journal:  Sensors (Basel)       Date:  2022-06-04       Impact factor: 3.847

2.  Influence of playing position and laterality in centripetal force and changes of direction in elite soccer players.

Authors:  Paulino Granero-Gil; Carlos D Gómez-Carmona; Alejandro Bastida-Castillo; Daniel Rojas-Valverde; Ernesto de la Cruz; José Pino-Ortega
Journal:  PLoS One       Date:  2020-04-23       Impact factor: 3.240

3.  Intra- and Inter-Device Reliability of the Change-of-Direction Angles Using a Smartphone Application for Sailing.

Authors:  Jacek Tarnas; Nina Schaffert; Helena Elegańczyk-Kot; Leszek Kostański; Rafał Stemplewski
Journal:  Int J Environ Res Public Health       Date:  2020-05-17       Impact factor: 3.390

4.  A GNSS-based method to define athlete manoeuvrability in field-based team sports.

Authors:  Grant Malcolm Duthie; Sam Robertson; Heidi Rose Thornton
Journal:  PLoS One       Date:  2021-11-19       Impact factor: 3.240

  4 in total

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