Perception and action in swimming: Effects of aquatic environment on upper limb inter-segmental coordination.

This study assessed perception-action coupling in expert swimmers by focusing on their upper limb inter-segmental coordination in front crawl. To characterize this coupling, we manipulated the fluid flow and compared trials performed in a swimming pool and a swimming flume, both at a speed of 1.35ms-1. The temporal structure of the stroke cycle and the spatial coordination and its variability for both hand/lower arm and lower arm/upper arm couplings of the right body side were analyzed as a function of fluid flow using inertial sensors positioned on the corresponding segments. Swimmers' perceptions in both environments were assessed using the Borg rating of perceived exertion scale. Results showed that manipulating the swimming environment impacts low-order (e.g., temporal, position, velocity or acceleration parameters) and high-order (i.e., spatial-temporal coordination) variables. The average stroke cycle duration and the relative duration of the catch and glide phases were reduced in the flume trial, which was perceived as very intense, whereas the pull and push phases were longer. Of the four coordination patterns (in-phase, anti-phase, proximal and distal: when the appropriate segment is leading the coordination of the other), flume swimming demonstrated more in-phase coordination for the catch and glide (between hand and lower arm) and recovery (hand/lower arm and lower arm/upper arm couplings). Conversely, the variability of the spatial coordination was not significantly different between the two environments, implying that expert swimmers maintain consistent and stable coordination despite constraints and whatever the swimming resistances. Investigations over a wider range of velocities are needed to better understand coordination dynamics when the aquatic environment is modified by a swimming flume. Since the design of flumes impacts significantly the hydrodynamics and turbulences of the fluid flow, previous results are mainly related to the characteristics of the flume used in the present study (or a similar one), and generalization is subject to additional investigations.

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

[2]  Kamiar Aminian,et al.  Inertial measurement unit and biomechanical analysis of swimming: an update , 2013 .

[3]  Timothy Wei,et al.  The Fluid Dynamics of Competitive Swimming , 2014 .

[4]  K. Newell Motor skill acquisition. , 1991, Annual review of psychology.

[5]  P. Åstrand,et al.  A swimming flume. , 1972, Journal of applied physiology.

[6]  Nicholas Stergiou,et al.  Effect of normalization and phase angle calculations on continuous relative phase. , 2002, Journal of biomechanics.

[7]  Kamiar Aminian,et al.  Automatic front-crawl temporal phase detection using adaptive filtering of inertial signals , 2013, Journal of sports sciences.

[8]  K. Monteil Analyse biomécanique du nageur de crawl lors d'un test conduisant à épuisement : étude des paramètres cinématiques, cinétiques et électromyographiques , 1992 .

[9]  J. Gibson The Ecological Approach to Visual Perception , 1979 .

[10]  Didier Chollet,et al.  Analysis of the interactions between breathing and arm actions in the front crawl , 2001 .

[11]  R G Eston,et al.  Statistical analyses in the physiology of exercise and kinanthropometry , 2001, Journal of sports sciences.

[12]  P. N. Kugler,et al.  1 On the Concept of Coordinative Structures as Dissipative Structures: I. Theoretical Lines of Convergence* , 1980 .

[13]  E. Batschelet Circular statistics in biology , 1981 .

[14]  K. Davids,et al.  Ecological dynamics and motor learning design in sport , 2012 .

[15]  A. H. Rouard,et al.  Relative contribution of arms and legs in humans to propulsion in 25-m sprint front-crawl swimming , 1999, European Journal of Applied Physiology and Occupational Physiology.

[16]  S. Psycharakis A Longitudinal Analysis on the Validity and Reliability of Ratings of Perceived Exertion for Elite Swimmers , 2011, Journal of strength and conditioning research.

[17]  Andy P. Field,et al.  Discovering Statistics Using Ibm Spss Statistics , 2017 .

[18]  K. Davids,et al.  The ecological dynamics of decision making in sport , 2006 .

[19]  K. Davids,et al.  Expert Performance in Sport and the Dynamics of Talent Development , 2010, Sports medicine.

[20]  N. Nordsborg,et al.  Front Crawl Swimming Analysis Using Accelerometers: A Preliminary Comparison between Pool and Flume , 2015 .

[21]  Karl M. Newell,et al.  Constraints on the Development of Coordination , 1986 .

[22]  Keith Davids,et al.  Constraints on the Complete Optimization of Human Motion , 2009, Sports medicine.

[23]  H. Hillstrom,et al.  Changes in coordination and its variability with an increase in running cadence , 2016, Journal of sports sciences.

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

[25]  P. N. Kugler,et al.  Search Strategies and the Acquisition of Coordination , 1989 .

[26]  K. Davids,et al.  Ecological approaches to cognition and action in sport and exercise: Ask not only what you do, but where you do it , 2009 .

[27]  A. Lees,et al.  Biomechanics and Medicine in Swimming V1 , 2013 .

[28]  Jane E. Clark,et al.  An examination of constraints affecting the intralimb coordination of hemiparetic gait , 2000 .

[29]  Chris Button,et al.  Interacting constraints and inter- limb co- ordination in swimming , 2010 .

[30]  Jeanne Dekerle,et al.  Aerobic potential, stroke parameters, and coordination in swimming front-crawl performance. , 2007, International journal of sports physiology and performance.

[31]  de G. Groot,et al.  Hydrodynamic drag and lift forces on human hand/arm models. , 1995, Journal of biomechanics.

[32]  L Seifert,et al.  Effect of swimming velocity on arm coordination in the front crawl: a dynamic analysis , 2004, Journal of sports sciences.

[33]  J. Hamill,et al.  Adaptations in interlimb and intralimb coordination to asymmetrical loading in human walking. , 2006, Gait & posture.

[34]  R. Lerda,et al.  Breathing and Propelling in Crawl as a Function of Skill and Swim Velocity , 2003, International journal of sports medicine.

[35]  Karen E. Adolph,et al.  Gibson's theory of perceptual learning , 2015 .

[36]  D. Chollet,et al.  Swimming constraints and arm coordination. , 2007, Human movement science.

[37]  Huub M. Toussaint,et al.  Biomechanics of Swimming , 2000 .

[38]  M. Denny,et al.  Air and water : the biology and physics of life's media , 1993 .

[39]  Ludovic Seifert,et al.  Key Properties of Expert Movement Systems in Sport , 2013, Sports Medicine.

[40]  D Chollet,et al.  A New Index of Coordination for the Crawl: Description and Usefulness , 2000, International journal of sports medicine.

[41]  S. Bennett,et al.  Extended Book Review: Dynamics of Skill Acquisition: A Constraints-Led Approach , 2007 .

[42]  Sebastian Madgwick,et al.  Estimation of IMU and MARG orientation using a gradient descent algorithm , 2011, 2011 IEEE International Conference on Rehabilitation Robotics.

[43]  W. Sparrow,et al.  Practice effects on coordination and control, metabolic energy expenditure, and muscle activation. , 2002, Human movement science.

[44]  Keith Davids,et al.  Motor learning in practice : a constraints-led approach , 2010 .

[45]  Fritz Primdahl,et al.  Scalar calibration of vector magnetometers , 2000 .

[46]  On analysing and interpreting variability in motor output. , 2009, Journal of science and medicine in sport.

[47]  Yuliang Wu,et al.  Chapter 1 Design Methodology for a Quick and Low-Cost Wind Tunnel , 2013 .

[48]  G. Borg Borg's Perceived Exertion and Pain Scales , 1998 .

[49]  João Paulo Vilas-Boas,et al.  Phase-dependence of elbow muscle coactivation in front crawl swimming. , 2013, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[50]  Claire F. Michaels,et al.  Direct Learning , 2007 .

[51]  João Paulo Vilas-Boas,et al.  Analysis of drafting effects in swimming using computational fluid dynamics. , 2008, Journal of sports science & medicine.

[52]  Keith Davids,et al.  Coordination Pattern Variability Provides Functional Adaptations to Constraints in Swimming Performance , 2014, Sports Medicine.

[53]  M. Turvey Action and perception at the level of synergies. , 2007, Human movement science.

[54]  P. N. Kugler,et al.  Information, Natural Law, and the Self-Assembly of Rhythmic Movement , 2015 .

[55]  J. Hamill,et al.  Quantifying rearfoot-forefoot coordination in human walking. , 2008, Journal of biomechanics.

[56]  W. H. Warren The dynamics of perception and action. , 2006, Psychological review.

[57]  R. Bartlett,et al.  Movement systems as dynamical systems : The functional role of variability and its implications for sports medicine , 2003 .

[58]  David A. Winter,et al.  Biomechanics and Motor Control of Human Movement , 1990 .

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

[60]  R C Wagenaar,et al.  Effects of walking velocity on relative phase dynamics in the trunk in human walking. , 1996, Journal of biomechanics.

[61]  M. Turvey,et al.  Information, affordances, and the control of action in sport. , 2009 .

[62]  P. Gorce,et al.  Changes in swimming technique during time to exhaustion at freely chosen and controlled stroke rates , 2008, Journal of sports sciences.

[63]  N. Pope,et al.  Making water flow: a comparison of the hydrodynamic characteristics of 12 different benthic biological flumes , 2006, Aquatic Ecology.

[64]  P. Lachenbruch Statistical Power Analysis for the Behavioral Sciences (2nd ed.) , 1989 .

[65]  P. Zamparo,et al.  The influence of drag on human locomotion in water. , 2005, Undersea & hyperbaric medicine : journal of the Undersea and Hyperbaric Medical Society, Inc.

[66]  Nachiappan Chockalingam,et al.  Quantifying lumbar-pelvis coordination during gait using a modified vector coding technique. , 2014, Journal of biomechanics.

[67]  W. Sparrow,et al.  Using relative motion plots to measure changes in intra-limb and inter-limb coordination. , 1987, Journal of motor behavior.