Kinematic Analysis of the Postural Demands in Professional Soccer Match Play Using Inertial Measurement Units

The development of wearable sensors has allowed the analysis of trunk kinematics in match play, which is necessary for a better understanding of the postural demands of the players. The aims of this study were to analyze the postural demands of professional soccer players by playing position. A longitudinal study for 13 consecutive microcycles, which included one match per microcycle, was conducted. Wearable sensors with inertial measurement units were used to collect the percentage (%) of playing time spent and G-forces experienced in different trunk inclinations and the inclination required for different speeds thresholds. The inclination zone had a significant effect on the time percentage spent on each zone (p < 0.001, partial eta-squared (ηp2 = 0.85) and the G-forces experienced by the players (p < 0.001, ηp2 = 0.24). Additionally, a significant effect of the speed variable on the trunk inclination zones was found, since trunk flexion increased with greater speeds (p < 0.001; ηp2 = 0.73), except for midfielders. The players spent most of the time in trunk flexion between 20° and 40°; the greatest G-forces were observed in trunk extension zones between 0° and 30°, and a linear relationship between trunk inclination and speed was found. This study presents a new approach for the analysis of players’ performance. Given the large volumes of trunk flexion and the interaction of playing position, coaches are recommended to incorporate position-specific training drills aimed to properly prepare the players for the perception-action demands (i.e., visual exploration and decision-making) of the match, as well as trunk strength exercises and other compensatory strategies before and after the match.

[1]  J. M. Oliva-Lozano,et al.  The first, second, and third most demanding passages of play in professional soccer: a longitudinal study , 2020, Biology of sport.

[2]  J. Pino-Ortega,et al.  Match and Training High Intensity Activity-Demands Profile During a Competitive Mesocycle in Youth Elite Soccer Players , 2020, Journal of human kinetics.

[3]  Richard B Souza,et al.  An Evidence-Based Videotaped Running Biomechanics Analysis. , 2016, Physical medicine and rehabilitation clinics of North America.

[4]  S. Pancani,et al.  Relationship between Lower Limb Kinematics and Upper Trunk Acceleration in Recreational Runners , 2020, Journal of healthcare engineering.

[5]  Marko Kos,et al.  A Wearable Device and System for Movement and Biometric Data Acquisition for Sports Applications , 2017, IEEE Access.

[6]  Reinhard Blickhan,et al.  Low back pain affects trunk as well as lower limb movements during walking and running. , 2015, Journal of biomechanics.

[7]  A. Williams,et al.  Perceptual and Cognitive Skill Development in Soccer: The Multidimensional Nature of Expert Performance , 2003 .

[8]  angesichts der Corona-Pandemie,et al.  UPDATE , 1973, The Lancet.

[9]  J. Yaggie,et al.  Contributions of lower extremity kinematics to trunk accelerations during moderate treadmill running , 2014, Journal of NeuroEngineering and Rehabilitation.

[10]  Jack D. Ade,et al.  High-intensity efforts in elite soccer matches and associated movement patterns, technical skills and tactical actions. Information for position-specific training drills , 2016, Journal of sports sciences.

[11]  Daniel Rojas-Valverde,et al.  From big data mining to technical sport reports: the case of inertial measurement units , 2019, BMJ Open Sport & Exercise Medicine.

[12]  Alejandro Bastida Castillo,et al.  Accuracy, intra- and inter-unit reliability, and comparison between GPS and UWB-based position-tracking systems used for time–motion analyses in soccer , 2018, European journal of sport science.

[13]  Mark Russell,et al.  Changes in Acceleration and Deceleration Capacity Throughout Professional Soccer Match-Play , 2016, Journal of strength and conditioning research.

[14]  J. M. Oliva-Lozano,et al.  Core Muscle Activity during Physical Fitness Exercises: A Systematic Review , 2020, International journal of environmental research and public health.

[15]  C. Powers,et al.  Influence of trunk posture on lower extremity energetics during running. , 2015, Medicine and science in sports and exercise.

[16]  M. Cole,et al.  Using Microtechnology to Quantify Torso Angle During Match-Play in Field Hockey. , 2019, Journal of strength and conditioning research.

[17]  J. Pino-Ortega,et al.  Accelerometry as a method for external workload monitoring in invasion team sports. A systematic review , 2020, PloS one.

[18]  J. Hides,et al.  The effect of low back pain on trunk muscle size/function and hip strength in elite football (soccer) players , 2016, Journal of sports sciences.

[19]  Jie Li,et al.  Canoeing Motion Tracking and Analysis via Multi-Sensors Fusion , 2020, Sensors.

[20]  Ernesto De la Cruz Sánchez,et al.  Accuracy, intra- and inter-unit reliability, and comparison between GPS and UWB-based position-tracking systems used for time-motion analyses in soccer. , 2018 .

[21]  Scott W Ducharme,et al.  Additional helmet and pack loading reduce situational awareness during the establishment of marksmanship posture , 2017, Ergonomics.

[22]  Alexandre Campeau-Lecours,et al.  Validity and Reliability of Wearable Sensors for Joint Angle Estimation: A Systematic Review , 2019, Sensors.

[23]  José M Oliva-Lozano,et al.  Validity and Reliability of a New Inertial Device for Monitoring Range of Motion at the Pelvis during Sexual Intercourse , 2020, International journal of environmental research and public health.

[24]  José M Oliva-Lozano,et al.  Effect of Playing Position, Match Half, and Match Day on the Trunk Inclination, G-Forces, and Locomotor Efficiency Experienced by Elite Soccer Players in Match Play , 2020, Sensors.

[25]  Daniel Tik-Pui Fong,et al.  The Use of Wearable Inertial Motion Sensors in Human Lower Limb Biomechanics Studies: A Systematic Review , 2010, Sensors.

[26]  A. Williams,et al.  The effects of task constraints on visual search behavior and decision-making skill in youth soccer players. , 2007, Journal of sport & exercise psychology.

[27]  J. Pino-Ortega,et al.  Impact of contextual variables on the representative external load profile of Spanish professional soccer match-play: A full season study , 2020, European journal of sport science.

[28]  Javier García-Rubio,et al.  Static and dynamic reliability of WIMU PRO™ accelerometers according to anatomical placement , 2018, Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology.

[29]  Costa Andrea,et al.  Wearable Biofeedback Suit to Promote and Monitor Aquatic Exercises: A Feasibility Study , 2020, IEEE Transactions on Instrumentation and Measurement.

[30]  C. Demoulin,et al.  Lumbopelvic motor control and low back pain in elite soccer players: a cross-sectional study , 2016, Journal of sports sciences.

[31]  L. Danneels,et al.  Deviating running kinematics and hamstring injury susceptibility in male soccer players: Cause or consequence? , 2017, Gait & posture.

[32]  F. Esposito,et al.  Effect of formation, ball in play and ball possession on peak demands in elite soccer , 2020, Biology of sport.

[33]  Roger Font,et al.  Are There Potential Safety Problems Concerning the Use of Electronic Performance-Tracking Systems? The Experience of a Multisport Elite Club. , 2017, International journal of sports physiology and performance.

[34]  John Nelson,et al.  Multi-Sensor Fusion for Enhanced Contextual Awareness of Everyday Activities with Ubiquitous Devices , 2014, Sensors.

[35]  G Atkinson,et al.  Ethical Standards in Sport and Exercise Science Research: 2014 Update· , 2013, International Journal of Sports Medicine.

[36]  P. Hodges,et al.  Changes in three dimensional lumbo-pelvic kinematics and trunk muscle activity with speed and mode of locomotion. , 2005, Clinical biomechanics.

[37]  Carlos D. Gómez-Carmona,et al.  Worst case scenario match analysis and contextual variables in professional soccer players: a longitudinal study , 2020, Biology of sport.

[38]  Kamiar Aminian,et al.  Joint Inertial Sensor Orientation Drift Reduction for Highly Dynamic Movements , 2018, IEEE Journal of Biomedical and Health Informatics.

[39]  Michael H. Cole,et al.  Utilising GPS Data to Quantify Torso Range of Motion in Field Hockey Athletes , 2018 .

[40]  Ian Jeffreys,et al.  Movement Training for Field Sports: Soccer , 2008 .

[41]  C. Powers,et al.  1,2 • CHRISTOPHER M. POWERS, PT, PhD 1 Sagittal Plane , 2014 .

[42]  K. Häkkinen,et al.  Development of body composition, hormone profile, physical fitness, general perceptual motor skills, soccer skills and on-the-ball performance in soccer-specific laboratory test among adolescent soccer players. , 2010, Journal of sports science & medicine.

[43]  Filipe Manuel Clemente,et al.  Midfielder as the prominent participant in the building attack: A network analysis of national teams in FIFA World Cup 2014 , 2015 .

[44]  Paulino Granero-Gil,et al.  Influence of playing position and laterality in centripetal force and changes of direction in elite soccer players , 2020, PloS one.

[45]  G. Atkinson,et al.  Ethical Standards in Sport and Exercise Science Research: 2016 Update , 2015, International Journal of Sports Medicine.