Background: Unpredictable stopping or deceleration tasks are crucial to prevent ACL injury. The purpose of this study was to reveal differences and relationships in kinematics during different deceleration tasks with and without anticipation.
Methods: Twenty-four collegiate athletes were recruited. Three commercial video cameras were used to capture frontal and sagittal lower-extremity kinematics. Participants were instructed to perform three deceleration tasks: 1) anticipated stopping and running backward at a point indicated previously (SRB-P); 2) anticipated stopping and running backward in front of a badminton net (SRB-N); and 3) unanticipated stopping and running backward upon random flashing of a light (SRB-U). Differences and relationships between hip, knee, and ankle kinematics at stopping (SS) and deceleration steps (DS) and the height of the great trochanter (HGT) at SS were analyzed.
Results: For all tasks, the knee flexion angle was less than 25° at SS. There were no significant differences in hip, knee, and ankle kinematics between tasks. HGT during SRB-U was higher than that in the other tasks at DS. Hip flexion angle at SS and DS was significantly correlated with HGT at SS. During SRB_P and SRB_N, only knee flexion angle at DS was significantly correlated with HGT at SS.
Conclusions: The deceleration task in this study, SRB, causes a low knee-flexion angle at SS. The COM remained higher during unanticipated stopping, which is related only to hip flexion angle during the task. Knee flexion movement does not contribute to lowering COM during an unpredictable deceleration task.
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http://dx.doi.org/10.23736/S0022-4707.23.15344-8 | DOI Listing |
J Comput Biol
December 2024
School of Information Science and Technology, North China University of Technology, Beijing, China.
Cellular appearance and its dynamics frequently serve as a proxy measurement of live-cell physiological properties. The computational analysis of cell properties is considered to be a significant endeavor in biological and biomedical research. Deep learning has garnered considerable success across various fields.
View Article and Find Full Text PDFMedicine (Baltimore)
November 2024
Department of Occupational Therapy, Kwangwon National University, Samcheok-si, Gangwon-do, Republic of Korea.
Although many countries restrict the use of smartphones while driving, smartphones are utilized in various ways as there are limits to enforcement. Accordingly, efforts are made to determine the risks of novice drivers with low safety awareness and higher risk. This study observed and analyzed changes in visual attention and driving risks according to the way smartphones are used while driving and the scientific relationship between the 2 variables.
View Article and Find Full Text PDFFront Physiol
August 2024
Institute for Biomechanics, ETH Zürich, Zürich, Switzerland.
Introduction: Athletes' capability to perform activities with body rotation could be weakened by fatigue accumulation. Making pivot turning in unanticipated scenarios after fatigue may greatly challenge athletes' ability to adapt rational motion strategies, elevating the risk of anterior cruciate ligament (ACL) injury. This study aimed to investigate the effects of fatigue and anticipation on biomechanical risk factors of ACL injury during 180° pivot turns in female soccer players.
View Article and Find Full Text PDFSensors (Basel)
August 2024
Facultad de Educación, Psicología y Ciencias del Deporte, Universidad de Huelva, Av. de las Fuerzas Armadas s/n, 21007 Huelva, Spain.
During peak height velocity, adjusting training intensity is crucial for optimizing performance and minimizing injury risk. This cross-sectional study compares external and internal intensities in different training tasks (analytical tasks, small-sided games, and training matches) and analyzes their effect on the maturation age of young players. Fifty-five U-15 and U-16 boys from two soccer clubs in southwestern Spain were monitored using inertial movement units and heart rate monitors to report training intensities.
View Article and Find Full Text PDFHum Mov Sci
December 2024
Department of Kinesiology and Health Sciences, University of Waterloo, Canada. Electronic address:
The Fitts' task is a simple and effective method for evaluating motor capacity that can be used to reveal detailed aspects of visuomotor control when hand and eye kinematics are recorded simultaneously. With advances in technology, the classical Fitts' reciprocal tapping task was modified for use with digitizer tablets and computer screens that require sliding rather than tapping hand movements, which may rely on different visuomotor control strategies. Given the ubiquity of digital devices and touchscreens that often require execution of sliding movements, it is important to compare the underlying visuomotor control and eye-hand coordination involved in reciprocal sliding and tapping movements, which was the aim of the current study.
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