Biophysical Analysis of the 200m Front Crawl Swimm<strong>in</strong>g: a Case Study Figueiredo, P. 1 , sousa, A. 1 ; Gonçalves, P. 1 , Pereira, s.M. 1,2 , soares, s. 1 , Vilas-Boas, J.P. 1 , Fern<strong>and</strong>es, r.J. 1 1 University of Porto, Faculty of Sport, CIFI2D 2 Federal University of Santa Catar<strong>in</strong>a, Santa Catar<strong>in</strong>a, Brazil The performance of a swimmer dur<strong>in</strong>g 200 m front crawl swim was analysed, <strong>in</strong>tegrat<strong>in</strong>g coord<strong>in</strong>ative, biomechanical, electrophysiological <strong>and</strong> bioenergetical data. One male swimmer (participant at the 2008 Olympic Games <strong>and</strong> national record holder) swam 200m for the assessment of the <strong>in</strong>tracyclic velocity variation (IVV) <strong>in</strong> x, y <strong>and</strong> z axes, arm coord<strong>in</strong>ation, oxygen uptake <strong>and</strong> neuromuscular activity. Afterwards, the swimmer performed 50, 100 <strong>and</strong> 150 m at the 200 m pace for blood lactate k<strong>in</strong>etics analysis. This study highlighted the stability of the IVVx, cont<strong>in</strong>uity of arm coord<strong>in</strong>ation <strong>in</strong> the last 100 m. The electromyography data evidenced a significant fatigue <strong>in</strong>volvement. Moreover, oxygen consumption rate values decreased as blood lactate concentrations rate <strong>and</strong> absolute values <strong>in</strong>creased along the effort. Key words: eMG, Intracyclic velocity variation, Arm coord<strong>in</strong>ation, energy expenditure, Biophysics. IntroductIon Propulsive <strong>and</strong> drag forces act<strong>in</strong>g on the swimmer’s body are major performance determ<strong>in</strong>ants, be<strong>in</strong>g affected by technique, motor organisation <strong>and</strong> control. However, muscular activity, as well as energy expenditure of exercise, is considered as swimm<strong>in</strong>g <strong>in</strong>fluenc<strong>in</strong>g parameters (Clarys <strong>and</strong> Cabri, 1993; Fern<strong>and</strong>es et al., 2006). In this sense, to underst<strong>and</strong> the real <strong>in</strong>volvement of the above parameters <strong>in</strong> swimm<strong>in</strong>g, a biophysical approach is needed (Pendergast et al., 2006), comb<strong>in</strong><strong>in</strong>g data from different areas. The 200 m front crawl is dependent on both anaerobic <strong>and</strong> aerobic energy systems, imply<strong>in</strong>g higher levels of fatigue (Costill et al., 1992). However, the <strong>in</strong>teractions between the performance <strong>in</strong>fluenc<strong>in</strong>g factors <strong>in</strong> this specific event were not yet discussed. The aim of the present study was to analyse the 200 m front crawl maximal effort, performed by an elite Olympic swimmer, assess<strong>in</strong>g the <strong>in</strong>tracyclic velocity variation of the centre of mass, arm coord<strong>in</strong>ation, energy expenditure <strong>and</strong> neuromuscular activity. Methods A male swimmer, 2008 Olympic Games participant <strong>and</strong> 200m front crawl national record holder (21 years old, 71kg of body mass, 180cm of height, 182cm of arm span <strong>and</strong> 8.8% of body fat mass) volunteered to participate <strong>in</strong> the present study. The test session took place <strong>in</strong> a 25 m <strong>in</strong>door swimm<strong>in</strong>g pool. Briefly, the subject, after a moderate <strong>in</strong>tensity <strong>in</strong>dividual warm-up, performed a 200 m front crawl test at maximal <strong>in</strong>tensity (as <strong>in</strong> competition), with push <strong>in</strong>-water start. The swimmer was monitored when pass<strong>in</strong>g through a specific pre-calibrated space with dimensions of 3x1.5x3m for the horizontal (x), vertical (y) <strong>and</strong> lateral (z) directions. Thirty po<strong>in</strong>ts of calibration were used, <strong>and</strong> the synchronisation of the images was obta<strong>in</strong>ed us<strong>in</strong>g a pair of lights observable <strong>in</strong> the field of view of each one of the six video cameras (Sony® DCR-HC42E, Japan). The angle between the optical axes of the two surface cameras was approximately 120º, while the angles between the optical axes of adjacent underwater cameras varied from 75º to 110º. Two complete arm stroke cycles, without breath<strong>in</strong>g, for each 50m of the 200m front crawl were digitised us<strong>in</strong>g the APASystem (Ariel Dynamics, USA) at a frequency of 50 Hz, manually <strong>and</strong> frame by frame. Zatsiorsky <strong>and</strong> Seluyanov’s model, adapted by de Leva (1996) was used to analyse the k<strong>in</strong>ematic data. Twenty-one body l<strong>and</strong>marks were digitised <strong>in</strong> each frame to represent the endpo<strong>in</strong>ts of the chaPter2.<strong>Biomechanics</strong> head, torso, upper arms, forearms, h<strong>and</strong>s, thighs, shanks <strong>and</strong> feet. Direct L<strong>in</strong>ear Transformation algorithm was used for three-dimensional reconstruction, as well as a 6 Hz low pass digital filter for the smooth<strong>in</strong>g of the data. The velocity (v) was calculated by divid<strong>in</strong>g the displacement of centre of mass (CM) <strong>in</strong> one stroke cycle for its total duration. Additionally, stroke rate (SR) was assessed through the <strong>in</strong>verse of its time duration, <strong>and</strong> stroke length (SL) was determ<strong>in</strong>ed through the horizontal displacement of the CM dur<strong>in</strong>g a stroke cycle. To analyse the <strong>in</strong>tracyclic velocity variation (IVV) for the x, y <strong>and</strong> z axes of the CM, was calculated through the coefficient of variation of the v (t) distribution. Arm movement was broken <strong>in</strong>to four phases (entry/catch, pull, push <strong>and</strong> recovery) (Chollet et al., 2000), us<strong>in</strong>g the above-referred digitised model. The duration of the propulsive phase was considered to be the sum of the pull <strong>and</strong> push phases, <strong>and</strong> the duration of the non-propulsive phase the sum of the entry/catch <strong>and</strong> recovery phases. Arm coord<strong>in</strong>ation was quantified us<strong>in</strong>g the Index of Coord<strong>in</strong>ation (IdC) proposed by Chollet et al. (2000), measur<strong>in</strong>g the lag time between the propulsive phases. The IdC was calculated for two complete arm strokes per 50m, <strong>and</strong> expressed as a percentage of complete arm stroke duration. For the total energy expenditure (Ė) assessment, oxygen uptake (VO 2 ) was recorded breath-by-breath by the K4b² telemetric gas exchange system (Cosmed, Roma, Italy), dur<strong>in</strong>g the 200m front crawl exercise. Artefacts were manually elim<strong>in</strong>ated <strong>and</strong> data were averaged every 5 s (cf. Sousa et al., <strong>in</strong> press). After 90 m<strong>in</strong> of rest <strong>in</strong>terval, the swimmer performed a 50m front crawl test to assess blood lactate concentration [La - ], at the same swimm<strong>in</strong>g v as the previous 200m (controlled by a visual light pacer - TAR 1.1, GBK-EIectronics, Aveiro, Portugal - with a flash every 5m). Twenty-four hours later, the swimmer performed 150m <strong>and</strong> 100m, with 90 m<strong>in</strong> <strong>in</strong>terval between tests, <strong>in</strong> order to simulate as much as possible the 200m test conditions, also us<strong>in</strong>g a respiratory snorkel <strong>and</strong> valve system. Capillary blood samples (5µl) were collected from the ear lobe, at rest, as well as at 1, 3, 5, <strong>and</strong> 7 m<strong>in</strong> of recovery, to assess rest <strong>and</strong> post exercise [La - ] (Lactate Pro, Arkray, Inc.). It was ensured, by measur<strong>in</strong>g, that swimmer had similar blood lactate concentration rest values prior to each test. The Ė corrected for body mass was calculated us<strong>in</strong>g the VO 2 net (difference between the average value of each 50m length <strong>and</strong> the rest value), <strong>and</strong> the blood lactate net (difference between the value measured <strong>in</strong> two consecutive lengths), transformed <strong>in</strong>to VO 2 equivalents us<strong>in</strong>g a 2.7 mlO 2 .kg -1 .mmol -1 constant (di Prampero et al., 1978). Anaerobic alactic energy sources were assumed to be negligible <strong>in</strong> this type of effort (Rodriguez <strong>and</strong> Mader 2003). For the muscular analysis active differential surface electromyography (EMG) record<strong>in</strong>gs were used of the flexor carpi radialis, biceps brachii, triceps brachii, pectoralis major, upper trapezius, rectus femoris, biceps femoris <strong>and</strong> tibialis anterior muscles dur<strong>in</strong>g the 200m front crawl. These muscles were selected accord<strong>in</strong>g to their ma<strong>in</strong> function <strong>and</strong> anatomic localisation, be<strong>in</strong>g considered important <strong>in</strong> front crawl swimm<strong>in</strong>g (Figueiredo et al., 2009). The sk<strong>in</strong> of the swimmer was shaved <strong>and</strong> rubbed with an alcohol solution. Silver/silver chloride circular surface electrodes, with preamplifiers (An AD621 BN), were placed <strong>in</strong> a bipolar configuration with 2.0 cm <strong>in</strong>ter-electrodes distance, <strong>in</strong> l<strong>in</strong>e with the muscle’s fibre orientation. Electrodes were placed <strong>in</strong> the midpo<strong>in</strong>t of the contracted muscle belly as suggested by Clarys <strong>and</strong> Cabri (1993), <strong>and</strong> covered with an adhesive b<strong>and</strong>age (Opsite Flexifix) to avoid contact with water (Figueiredo et al., 2009). A reference electrode was attached to the patella. The total ga<strong>in</strong> of the amplifier was set at 1100, with a common mode rejection ratio of 110 dB. Additionally, the swimmer used a complete swimsuit, <strong>in</strong> order to reduce the mobility of the electrodes <strong>and</strong> to <strong>in</strong>crease the comfort of the swimmer, allow<strong>in</strong>g normal motion. The EMG signals were recorded at a sampl<strong>in</strong>g frequency of 1000 Hz with a 16-bit resolution <strong>and</strong> then converted by an analogical/digital converter (BIOPAC System, Inc). To synchronise EMG <strong>and</strong> video, an electronic flashlight signal / electronic trigger was marked simultane- 79
Figure 1. General biomechanical parameters (v, SL front crawl effort. 2.3 Figure 1. General biomechanical parameters (v, SL <strong>and</strong> SR) values dur<strong>in</strong>g the 200m v 1.6 0.9 front crawl effort. SR 43 <strong>Biomechanics</strong><strong>and</strong>medic<strong>in</strong>e<strong>in</strong>swimm<strong>in</strong>gXi ously on 0.9the video <strong>and</strong> EMG record<strong>in</strong>gs. The EMG data analysis was 1.5 performed us<strong>in</strong>g the MATLAB 2008a software environment (Math- 41 Works Inc., 0.8 Natick, Massachusetts, USA). A new highly sensitive spectral <strong>in</strong>dex (FInsmk), proposed by Dimitrov et al. (2006), was calculated 1.4 for one 0.7 stroke cycle for 40 each 25m. The FInsmk has been proposed to overcome the relatively low sensitivity of the median frequency <strong>and</strong> the IVVx mean frequency. 0.6 The FInsmk <strong>in</strong>dices were calculated as the ratio between the 0.3 1.3 39 IVVy spectral moments of order (-1) <strong>and</strong> order, k: results 0.2 In Figure 1 it is possible to observe the decay of v, SL <strong>and</strong> SR through the 200 m front crawl with a slightly <strong>in</strong>creas<strong>in</strong>g of the SR <strong>in</strong> the last 0.1 length. Values for IVV (x, y <strong>and</strong> z) <strong>and</strong> coord<strong>in</strong>ative organisation param- 0.0 eters (IdC <strong>and</strong> stroke phases) 1st are 50mpresented 2nd 50m <strong>in</strong> fig. 3rd 2 (left 50mpanel 4th <strong>and</strong> 50mright panel, respectively) 43 for the four laps of the 200m Lapsfront crawl test. 2.3 Velocity (m.s -1 ) (1) where k was 5, PS(f ) was the spectral power for the currency frequency f <strong>and</strong> f1 = 8 Hz <strong>and</strong> f2 = 500 Hz were the high <strong>and</strong> low-pass frequencies of the amplifier filter. The relative changes <strong>in</strong> values of the spectral <strong>in</strong>dex, Figure for different 2. repetitions Values were calculated for <strong>in</strong>tracyclic aga<strong>in</strong>st the first velocity repetition of the variation (IVV) <strong>in</strong> x, y <strong>and</strong> z axes (left panel) correspond<strong>in</strong>g set: for <strong>in</strong>stance, FInnsmk/FI1nsmk x 100, % (n = 1, 2, <strong>and</strong> values of velocity (v), stroke rate (SR), stroke length (SL), <strong>in</strong>dex of coord<strong>in</strong>ation ..., 8 lap number). (IdC), L<strong>in</strong>ear regression entry/catch, analysis method pull, was push, performed recovery, on muscle EMG propulsive phase <strong>and</strong> non-propulsive phase <strong>in</strong> parameters (laps 1–8). The regression l<strong>in</strong>e gradients were analysed to the four laps of the 200m front crawl. compare rate of change <strong>and</strong>, hence, rate of fatigue development. The 97 level of significance for all statistical tests was set at p < 0.05. <strong>Biomechanics</strong> <strong>and</strong> <strong>Medic<strong>in</strong>e</strong> <strong>XI</strong> Chapter 2 <strong>Biomechanics</strong> The k<strong>in</strong>etics of bioenergetical parameters (Ė, VO2 <strong>and</strong> [La - 0.0 -20 1st 50m 2nd 50m 3rd 50m 4th 50m 1st 50m 2nd 50m 3rd 50m 4th 50m Laps Laps Figure 2. Values for <strong>in</strong>tracyclic velocity variation (IVV) <strong>in</strong> x, y <strong>and</strong> z axes (left panel) <strong>and</strong> values of velocity (v), stroke rate (SR), stroke length (SL), <strong>in</strong>dex of coord<strong>in</strong>ation (IdC), entry/catch, pull, push, recovery, propulsive phase <strong>and</strong> non-propulsive phase <strong>in</strong> the four laps of the 200m front crawl. The k<strong>in</strong>etics of bioenergetical parameters (Ė, VO2 <strong>and</strong> [La ]) <strong>and</strong> the spectral <strong>in</strong>dices, reveal<strong>in</strong>g the muscular function dur<strong>in</strong>g the 200m front crawl are shown <strong>in</strong> fig. 3 (left <strong>and</strong> right panel, respectively). For the spectral <strong>in</strong>dices high relationships were observed (r>0.74, p0.74, p0.74, anterior (r=-0.18, p0.74, p
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Pahlen Norge AS Pahlen Norge AS Cha