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Korim Tamás
Fekete Gusztáv
Biomechanical analysis of different natural turf conditions effects on lower limbs during running and cutting movements

TÉMAKIÍRÁS

Intézmény: Pannon Egyetem
anyagtudományok és technológiák
Vegyészmérnöki és Anyagtudományok Doktori Iskola

témavezető: Fekete Gusztáv
társ-témavezető: Korim Tamás
helyszín (magyar oldal): Nyugat-magyarországi Egyetem, Természettudományi és Műszaki Kar, Savaria Műszaki Intézet (2017.02.01-ig), ELTE, Informatikai Kar, Savaria Műszaki Intézet
helyszín rövidítés: SMI


A kutatási téma leírása:

For the soccer field, the best choice for field surface is natural grass, in terms of the feel of the field, impact reduction, and its impact on the body. Players are found to have a preference for natural turf, confirmed that they felt there was a higher reduction of impact, between the ball as well as the body on natural turf compared to artificial turf. Despite natural turf being a common playing surface for popular sports such as soccer, rugby and cricket, few biomechanical studies have been performed using natural turf conditions. Natural turf pitches are living things and will exhibit greater temporal and spatial variation than their artificial counterparts. The tools required for such objective testing are considered difficult to apply within a field setting as complicating extraneous variables negatively impact the objective data recorded. Some researchers have attempted to analyze the effect of different natural turf constructions and hardness, on kinetic data within the laboratory setting. Researchers make a runway with portable natural grass, a force platform under it to collected ground reaction force data. The results suggests that significant differences are evident in rates of loading between different experimental turf hardness conditions. Harder surfaces resulted in increased loading values when compared to softer counterparts. Such research suggests that the surface hardness may affect the loads and movement adopted by the players. Additionally, whilst running, the individual will activate many muscles, tendons and ligaments so that the leg behaves like a single mechanical spring during the ground contact. Players show a decreased leg stiffness of 29% between the last step on a soft surface and the first step on the hard surface. The ability to change leg stiffness quickly allows the individual to maintain dynamic stability when running on unpredictable surface. Few biomechanical studies have been performed using a natural grass surface. The literature on pitch hardness is also sparse. Any surface on which a player runs will affect them biomechanical response.

The purpose of this research was to investigate the lower limb kinematics and kinetics on different natural turf pitch during straight running and 45° left sidestep cutting movements. Some elite male soccer players will participate in this research. respectively. Clegg hammer test will be used to measure the pitch hardness of these three natural turfs. Each athlete performe a 10m straight running and a 45° sidestep cutting movements at the speed of 4.5m/s with each turf conditions. Kinematic data will be collected for each movement with an eight-camera Vicon motion analysis system (Oxford Metrics Ltd., Oxford, UK) at the frequency of 200Hz. A plug-in-gait model marker set will be used in this study. A Kistler force plate will be used to collect ground reaction force (GRF) data at the frequency of 1000Hz. Participant will plant their right foot on the force plate. A Novel plantar pressure measurement system (Novel Pedar System, Germany) will be used to measure the pressure and force exerted on the insole pressure sensors at the frequency of 50Hz. Which were divided into seven anatomical parts, including heel (H), medial foot (MF), medial forefoot (MFF), central forefoot (CFF), lateral forefoot (LFF), big toes (BT) and other toes (OT). The three dimensional kinematic and force plate data were collected simultaneously using the Nexus of the Vicon system. The SPSS 17.0 software (SPSS Inc., Chicago, IL, USA) will be used for statistical analysis.

felvehető hallgatók száma: 1

Jelentkezési határidő: 2020-01-31

 
Minden jog fenntartva © 2007, Országos Doktori Tanács - a doktori adatbázis nyilvántartási száma az adatvédelmi biztosnál: 02003/0001. Program verzió: 2.2358 ( 2017. X. 31. )