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Biomechanics and Medicine in Swimming XI

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<strong>Biomechanics</strong><strong>and</strong>medic<strong>in</strong>e<strong>in</strong>swimm<strong>in</strong>gXi<br />

Jo<strong>in</strong>t Torque Request for Different F<strong>in</strong> Uses<br />

Gouvernet, G. 1,2 , rao, G. 2 , Barla, c. 1 , Baly, l. 1 , Grélot, l. 2 ,<br />

Berton, e. 2<br />

1 Oxylane Research, Lille, France<br />

2 Institut des Sciences du Mouvement “E.J. Marey”, Marseille, France<br />

The purpose of the present study was to exam<strong>in</strong>e the jo<strong>in</strong>t torques of<br />

different f<strong>in</strong> swimm<strong>in</strong>g activities us<strong>in</strong>g different f<strong>in</strong>s. Three different f<strong>in</strong><br />

uses were <strong>in</strong> focus: body-board, swimm<strong>in</strong>g, <strong>and</strong> snorkell<strong>in</strong>g. Inverse dynamics<br />

was used to estimate the jo<strong>in</strong>t torque of the lowers body jo<strong>in</strong>ts<br />

(knee <strong>and</strong> hip). For each practice we recorded the three-dimensional<br />

k<strong>in</strong>ematics with underwater camcorders. Apart from the k<strong>in</strong>ematics <strong>in</strong>puts,<br />

the forces <strong>and</strong> torques were measured by a robot which reproduced<br />

mean k<strong>in</strong>ematics of each practice <strong>and</strong> measured the forces <strong>and</strong> torques<br />

components at the ankle. Thus, jo<strong>in</strong>t torques was measured at the ankle<br />

<strong>and</strong> computed at the knee <strong>and</strong> hip jo<strong>in</strong>ts. Jo<strong>in</strong>t torque pattern <strong>and</strong> peak<br />

values differed for the ankle <strong>and</strong> knee jo<strong>in</strong>ts but were not statistically<br />

different at the hip whatever the practice. This method allows to measure<br />

torques <strong>and</strong> forces on ankle <strong>and</strong> <strong>in</strong> this way precisely quantify the effect<br />

of f<strong>in</strong> blade on human jo<strong>in</strong>ts.<br />

Key word: swimm<strong>in</strong>g-f<strong>in</strong>, F<strong>in</strong>, Muscular request, snorkell<strong>in</strong>g, Bodyboard<br />

IntroductIon<br />

Depend<strong>in</strong>g on the f<strong>in</strong> sport, swimmers expectations are not the same<br />

(acceleration, endurance, or muscular ga<strong>in</strong>). Therefore, f<strong>in</strong> design with<br />

a specific shape <strong>and</strong> material has been designed for each specific sport.<br />

For the last few years, sophisticated numerical model have enabled<br />

for modell<strong>in</strong>g propulsive <strong>and</strong> drag forces for a swimmer without f<strong>in</strong>s.<br />

The numerical model (SWUM) of Nakashima (2007) considers a fullbody<br />

musculoskeletal model guided by different k<strong>in</strong>ematics of swimm<strong>in</strong>g<br />

styles (crawl, breast) <strong>and</strong> compute global swimm<strong>in</strong>g forces. But<br />

this last model regards segments as rigid bodies, <strong>and</strong> the f<strong>in</strong> blade cannot<br />

be simplified as rigid part. Thus, this previous model can not be used to<br />

quantify the effect of a deformable f<strong>in</strong> blade.<br />

Moreover, at the same speed, swimm<strong>in</strong>g with a large <strong>and</strong> stiff f<strong>in</strong><br />

blade requires less energy than with a short <strong>and</strong> flexible f<strong>in</strong> (Zamparo<br />

2006). So, f<strong>in</strong> structure (shape <strong>and</strong> stiffness) entails a modification of f<strong>in</strong><br />

forces on foot <strong>and</strong> consequently of the energetic expenditure. The aim of<br />

this study was thus to <strong>in</strong>vestigate the <strong>in</strong>fluence of different f<strong>in</strong> types on<br />

jo<strong>in</strong>t torques dur<strong>in</strong>g f<strong>in</strong> swimm<strong>in</strong>g activities.<br />

Methods<br />

In order to assess jo<strong>in</strong>t torque, an <strong>in</strong>verse dynamic model is used where<br />

jo<strong>in</strong>t k<strong>in</strong>ematics <strong>and</strong> hydrodynamics f<strong>in</strong> forces have to be described for<br />

each activity.<br />

Mean k<strong>in</strong>ematics of each f<strong>in</strong> swimm<strong>in</strong>g activities were determ<strong>in</strong>ed<br />

from experimentation. Six male <strong>and</strong> 2 female skilled participants of all<br />

activities were asked to practice the three activities <strong>in</strong> usual conditions.<br />

Subject’s average (±SD) body mass, stature, <strong>and</strong> age were respectively<br />

71±7.2 kg, 1.73±0.13 m, <strong>and</strong> 27±3.2 years. For swimm<strong>in</strong>g, subjects swim<br />

hold<strong>in</strong>g out their arms on a board, <strong>and</strong> their heads <strong>in</strong> water. Bodyboarders<br />

were told to adopt the same velocity as when they go to the<br />

reach, with their chests lifted-up <strong>and</strong> their elbows on the body-board<br />

flexed at 90°. And for snorkell<strong>in</strong>g, they practise with masks <strong>and</strong> snorkel,<br />

arms along the body, swimm<strong>in</strong>g only with legs. Each subject swims 2<br />

pool lengths for each of the 3 practices. For each practice, st<strong>and</strong>ard DE-<br />

CATHLON f<strong>in</strong>s were used (Figure 1).<br />

50<br />

Figure 1. F<strong>in</strong>s for body-board (a), swimm<strong>in</strong>g (b), <strong>and</strong> snorkell<strong>in</strong>g (c).<br />

Eleven markers were positioned on the left lower limb. The tri-dimensional<br />

motion of lower limbs was simultaneously recorded by four<br />

cameras, on full frame with 800x650 pixels at 50 Hz (DALSA Falcom<br />

1.4M100). A sufficient calibration space (4m long) was placed on<br />

the swimm<strong>in</strong>g pool. The picture def<strong>in</strong>ition allowed a good precision<br />

of track<strong>in</strong>g. The three-dimensional positions were computed by the<br />

DLT method (SIMI Motion Systems GmBh, Germany ). Data were<br />

smoothed us<strong>in</strong>g a Butterworth lower pass filter at 6Hz. Dur<strong>in</strong>g each<br />

swim, three cycles were selected. The cycles were cut at the higher position<br />

of the subject’s foot. Then, the cycles were averaged to obta<strong>in</strong> a<br />

representative k<strong>in</strong>ematical cycle per subject per <strong>and</strong> swimm<strong>in</strong>g activities<br />

(body-board, swimm<strong>in</strong>g, or snorkell<strong>in</strong>g).<br />

For each activity recorded, the foot motions averaged over the subjects<br />

were reproduced us<strong>in</strong>g a custom-made robot. This twice-f<strong>in</strong> robot<br />

reproduces the k<strong>in</strong>ematics of the two feet by velocity control. Ankle<br />

angle <strong>and</strong> vertical kick<strong>in</strong>g were controlled (Figure 2). Also, the distance<br />

of the robot from the water surface could be adjusted, <strong>in</strong> order to reproduce<br />

the good kick<strong>in</strong>g depth too. The foot motion on sagittal plane was<br />

used as an <strong>in</strong>put parameter of the robot. A waterproof six-component<br />

sensor is located on the foot form of the robot, at the same position as<br />

the ankle jo<strong>in</strong>t; <strong>in</strong> this way forces <strong>and</strong> torques produced by f<strong>in</strong> on foot are<br />

measured. Moreover, the robot moved forward at the velocity measured<br />

<strong>in</strong> each f<strong>in</strong> swimm<strong>in</strong>g activities. Thus, sagittal ankle motions reproduced<br />

the foot motion of each activity with a match<strong>in</strong>g velocity. This simulation<br />

of f<strong>in</strong> swimm<strong>in</strong>g activities allowed us to consider measured forced<br />

as close to real forces encountered dur<strong>in</strong>g swimm<strong>in</strong>g as possible.<br />

Three-dimensional force <strong>and</strong> torque measurements were made on<br />

the foot robot which reproduced mean motion of each activity. Inverse<br />

dynamics computations were carried out to estimate the threedimensional<br />

net forces <strong>and</strong> torques at the knee <strong>and</strong> hip jo<strong>in</strong>ts. Net jo<strong>in</strong>t<br />

moments were estimated tak<strong>in</strong>g <strong>in</strong>to account gravity, <strong>in</strong>ertial body parameters,<br />

as well as Archimedes thrust (FA=ρ water .V.g), the volume (V)<br />

be<strong>in</strong>g assessed as a function of body mass <strong>and</strong> segment density (Zatiorsky<br />

1990). This force was applied at the segment centre of mass.<br />

Both swimm<strong>in</strong>g (frequency, amplitude <strong>and</strong> depth of the kick), <strong>and</strong><br />

muscle torque variables were analyzed.

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