Inter-limb coordination in swimming: effect of speed and skill level.

The aim of this study was to examine the effects of swimming speed and skill level on inter-limb coordination and its intra-cyclic variability. The elbow-knee continuous relative phase (CRP) was used as the order parameter to analyze upper-lower limbs coupling during a complete breaststroke cycle. Twelve recreational and 12 competitive female swimmers swam 25m at a slow speed and 25m at maximal speed. Underwater and aerial side views were mixed and genlocked with an underwater frontal view. The angle, angular velocity, and phase were calculated for the knee and elbow by digitizing body marks on the side view. Three cycles were analyzed, filtered, averaged, and normalized in percentage of the total cycle duration. The competitive swimmers showed greater intra-cyclic CRP variability, indicating a combination of intermediate phase and in-phase knee-elbow coupling within a cycle. This characteristic was more marked at slow speed because more time was spent in the glide period of the stroke cycle, with the body completely extended. Conversely, because they spent less time in the glide, the recreational swimmers showed lower intra-cyclic CRP variability (which is mostly in the in-phase coordination mode), resulting in superposition of contradictory actions (propulsion of one limb during the recovery of the other limb).

[1]  R. Bootsma,et al.  Dynamics of human postural transitions. , 2002, Journal of experimental psychology. Human perception and performance.

[2]  L Seifert,et al.  Intra-cyclic distance per stroke phase, velocity fluctuations and acceleration time ratio of a breaststroker's hip: a comparison between elite and nonelite swimmers at different race paces. , 2007, International journal of sports medicine.

[3]  J. Kelso Phase transitions and critical behavior in human bimanual coordination. , 1984, The American journal of physiology.

[4]  Natalia Dounskaia,et al.  Egocentric and Allocentric Constraints in the Expression of Patterns of Interlimb Coordination , 1997, Journal of Cognitive Neuroscience.

[5]  J. Kelso,et al.  Symmetry breaking dynamics of human multilimb coordination. , 1992, Journal of experimental psychology. Human perception and performance.

[6]  Brian J. Gordon,et al.  Hydrodynamic Characteristics of Competitive Swimmers of Different Genders and Performance Levels , 1997 .

[7]  D Chollet,et al.  Evaluation of arm-leg coordination in flat breaststroke. , 2004, International journal of sports medicine.

[8]  B. Vereijken,et al.  Free(z)ing Degrees of Freedom in Skill Acquisition , 1992 .

[9]  G. Ermentrout Dynamic patterns: The self-organization of brain and behavior , 1997 .

[10]  William J. McDermott,et al.  Issues in Quantifying Variability From a Dynamical Systems Perspective , 2000 .

[11]  Paolo Cavallari,et al.  Preferential coupling between voluntary movements of ipsilateral limbs , 1982, Neuroscience Letters.

[12]  Hideki Takagi,et al.  Differences in stroke phases, arm-leg coordination and velocity fluctuation due to event, gender and performance level in breaststroke. , 2004, Sports biomechanics.

[13]  P. Cavallari,et al.  Differential control of in-phase and anti-phase coupling of rhythmic movements of ipsilateral hand and foot , 2004, Experimental Brain Research.

[14]  Jonathan Wheat,et al.  The interface between biomechanics and motor control: dynamic systems theory and the functional role of movement variability , 2005 .

[15]  Huub M. Toussaint,et al.  Biomechanical aspects of peak performance in human swimming , 2005 .

[16]  Klaus Reischle,et al.  Swimming science V , 1988 .

[17]  Keith Davids,et al.  Movement system variability , 2005 .

[18]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[19]  L Seifert,et al.  A new index of flat breaststroke propulsion: A comparison of elite men and women , 2005, Journal of sports sciences.

[20]  L Seifert,et al.  Arm-leg coordination in flat breaststroke: a comparative study between elite and non-elite swimmers. , 2005, International journal of sports medicine.

[21]  S. Henriksen,et al.  Enkephalin enhances responsiveness to perforant path input while decreasing spontaneous activity in the dentate gyrus , 1987, Neuroscience Letters.

[22]  马格利索,et al.  游得最快(Swimming Fastest)连载(十三) , 2010 .

[23]  A. Opstal Dynamic Patterns: The Self-Organization of Brain and Behavior , 1995 .

[24]  W. H. Warren,et al.  Why change gaits? Dynamics of the walk-run transition. , 1995, Journal of experimental psychology. Human perception and performance.

[25]  L Seifert,et al.  Effect of expertise on butterfly stroke coordination , 2007, Journal of sports sciences.

[26]  J. M. S. Molina,et al.  Swimming Science I , 2007 .

[27]  J. Kelso,et al.  Spontaneous transitions and symmetry: Pattern dynamics in human four-limb coordination , 1993 .

[28]  Ulrik Persyn,et al.  A comparison of the intra-cyclic velocity variation in breaststroke swimmers with flat and undulating styles , 1998 .