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1 © Uwe Kersting, 2011 1 The ‚use‘ of Energy in Sport Biomechanics Center for Sensory-Motor Interaction Anvendt Biomekanik Uwe Kersting – MiniModule 07 - 2011 © Uwe Kersting, 2011 2 Objectives Quickly review some history and methods Review general energy equations Discuss their potential role for sports biomechanics Go through examples on equipment, sport techniques, muscle mechanics, etc.

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1

© Uwe Kersting, 20111

The ‚use‘ of Energy

in Sport Biomechanics

Center for Sensory-Motor Interaction

Anvendt Biomekanik

Uwe Kersting – MiniModule 07 - 2011

© Uwe Kersting, 20112

Objectives• Quickly review some history and methods

• Review general energy equations

• Discuss their potential role for sports biomechanics

• Go through examples on equipment, sport techniques, muscle mechanics, etc.

2

© Uwe Kersting, 20113

Contents

1. Introduction

2. Fundamentals of photogrammetry

3. Planar kinematics

4. Calibration

5. Extension to 3D video techniques

6. (Examples: energy calculations for jumping and running)

7. Summary

© Uwe Kersting, 2011

Where do ‘we’ come from?

Sports biomechanics used to be rather descriptive

- But that was not Unexpected...

4

3

© Uwe Kersting, 20115

Historical perspective

Technical realisation: camera obscura

Also described and used by Aristotle, Kepler

First technical drawings by Leonardo DaVinci (1490)

© Uwe Kersting, 20116

Multiple exposure

Eadweard Muybridge

(1830 – 1904)

4

© Uwe Kersting, 20117

Conceptual Models in Biomechanics

Partial heights model

(transferable to many movements)

(Hay, 1978)

© Uwe Kersting, 20118

Partial heights model: factors

5

© Uwe Kersting, 2011

Resolve the contributors

Kinematic descriptors:- knee angle, hip angle etc. � ?- at key instances during execution ?- segmental velocities (angular andtranslatory)

- anatomical model � implications formuscle action

Rough but easy: energies – segmental or ‘just’ the whole body

9

© Uwe Kersting, 201110

Energy in a purely ‘physics’ sense

Mechanical energy:

Ekin = 0.5 m v2

Epot = m g h

Erot = 0.5 I ω2

Eel = 0.5 k ∆x2

Total body energy:

E tot = Σ Ekin i + Epot i + Erot i : n = # of segmentsi = 1

n

6

© Uwe Kersting, 201111

Example: Running with and without shoes

Oxygen consumption: + 4 – 5 % when running with shoes(6 – 7 min in a marathon!)

Total work 107 JShoe mass: 100 gLifting height 0.2 mMaximal speed of foot during swing: 10 m/sStep length: 2 m => 20 ksteps

Additional work due to gravityAdditional work to accelerate the shoe

© Uwe Kersting, 201112

Additional Energyneeded

5

10

5 10 15

100g

200g

300g

400g

Add. Work [%]

Max foot speed [m/s]

7

© Uwe Kersting, 2011

Application to the whole body

What do we need to know or have?

___________ ?

___________ ?

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© Uwe Kersting, 201114

COM calculation from segment positions

x0 = (Σ mi * xi)

M

y0 = (Σ mi * yi)

M

8

© Uwe Kersting, 201115

E kin tot = Σ mi vi2

+ potential Energy

Epot = Σ mi g hi

Question: Is the total Energy equal to CoM

based calculations?

CoM velocity?

h

© Uwe Kersting, 201116

Rotational Energy contribution?

E rot tot = Σ Ii ωi2

Example

Leg: mleg = 0.0465 BM

Vleg sprint = 20 m/s

Ileg = 0.064 kg m2

ωleg sprint = 500 °/s

9

© Uwe Kersting, 201117

Energy in a purely ‘physics’ sense

Mechanical energy:

Total body energy:

E tot = Σ Ekin i + Epot i + (Erot i ): n = # of segmentsi = 1

n

© Uwe Kersting, 201118

Energy of a pole vaulter (after putting down the pole)

(Schade et al., 2000)

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© Uwe Kersting, 201119

Application to high jump

In high jump the initial energy has to be transformed into jump

energy.

© Uwe Kersting, 201120

There is no linear relationship between approach velocity and vertical take-off velocity. (Dapena et al., 1990)

Transformation is coupled with a decrease in total energy during the last ground contact. (Brüggemann & Arampatzis, 1991)

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© Uwe Kersting, 201121

Purpose

• To examine the approach and take-off strategies of high jumpers at the world class level.

• To determine how to estimate the optimal take-off behavior from given initial characteristics.

© Uwe Kersting, 201122

Methods

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© Uwe Kersting, 201123

Data Aquisition and Analysis

• four stationary PAL video cameras (50 Hz), two for each side, synchronised

• calibration with 2 x 2 x 3 m cube

• digitisation with Peak Motus (19 points)

• calculation of body angles, CM position, CM velocity and total energy by „fast information program“ using DLT

© Uwe Kersting, 201124

Digitised Frames

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© Uwe Kersting, 201125

Calculations

(1)H = H1 +2 g

V2 sin2 α

(2)H = +2 g

E k2 sin2 αE p2

g

© Uwe Kersting, 201126

E k 2 =m

E kin 2; E p 2 =

m

E pot 2where:

T in =

And: ET = total Energy

E dec

α(3)

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© Uwe Kersting, 201127

(4)

H = +g

(E T1 - Edec - E p2) sin2 (Τin Edec)E p2

g

The effective height (H) can be expressed as a function of:initial energy, energy loss and

transformation index.

© Uwe Kersting, 201128

RESULTS

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© Uwe Kersting, 201129

2 3 4 5 6 7 8 9 10 11 12 13 14

22

24

26

28

30

32

34

36

38

40

42

ET1

42 J/kg

40 J/kg

38 J/kg

36 J/kg34 J/kg32 J/kg

Edec [J/kg]

ET2 [J/kg]

Group1 (n=16)

Group2 (n=10)

Cluster Analysis

© Uwe Kersting, 201130

Parameters Group1 (n=16) Group2 (n=10)

Initial energy [J/kg] 35.15 (1.38) 39.04 (2.06) *

Energy decrease [J/kg] 4.26 (0.99) 9.23 (2.06) *

Transformation index [°/J/kg] 12.05 (3.34) 5.47 (1.01) *

Final energy [J/kg] 30.88 (1.14) 29.81 (0.74)

Take-off angle [°] 48.83 (1.99) 48.67 (2.94)

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© Uwe Kersting, 201131

2 3 4 5 6 7 8 9 10 11 12 13 14

4

6

8

10

12

14

16

18

46

50

α [°]

Edec [J/kg]

TIn [°/J/kg]

Group1 (n=16)

Group2 (n=10)

© Uwe Kersting, 201132

Two groups were identified that showed both varying initial

conditions and jumping strategies.

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© Uwe Kersting, 201133

Group1 showed a lower horizontal velocity and therefore, a lower initial energy prior to the last ground contact.

Goup2 had a markedly increased initial energy and demonstrated a lower transformation index.

© Uwe Kersting, 201134

2 4 6 8 10 12 142

4

6

8

10

12

14

16

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Edec [J/kg]

TIn [°/J/kg]

R2 = 0.98

Formula: Tin = exp(-c * Edec)

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© Uwe Kersting, 201135

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

1,6

1,7

1,8

1,9

2,0

2,1

2,2

2,3

2,4

2,5

2,6

2,7

2,8

Edec [J/kg]

Height [m

] Group1 (n=16)

Group2 (n=10)

With that:

© Uwe Kersting, 201136

Parameter [m/s] Group1 (n=16) Group2 (n=10)

Horizontal TD velocity 7.11 (0.29) 7.83 (0.43) *

Decrease in h. velocity 3.22 (0.30) 4.05 (0.56) *

Horizontal TO velocity 3.89 (0.27) 3.77 (0.22)

Vertical TO velocity 4.44 (0.11) 4.29 (0.26)

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© Uwe Kersting, 201137

Discussion

© Uwe Kersting, 201138

Both of the identified strategies resulted in comparable effective heights.

The faster approaching athletes could not benefit from their higher energy produced during the run-up.

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© Uwe Kersting, 201139

• Since body orientation at touch-down shows no significant differences a possible explanation could be an different muscle stiffness.

• The influence of changes in muscle stiffness has to be further investigated.

© Uwe Kersting, 201140

• For both groups the optimum

energy loss that leads to the

maximum vertical velocity after

the take-off can be estimated.

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© Uwe Kersting, 201141

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

1,6

1,8

2,0

2,2

2,4

2,6

2,8

3,0

Edec [J/kg]

Jump height [m

] Sotomayor E

T1=41.07 J/kg

Partyka ET1=36.53 J/kg

Forsyth ET1=35.82 J/kg

Matusevitch ET1=36.65 J/kg

© Uwe Kersting, 201142

Training concepts may be developed to increase

performance at both the world class level and in sub-elite

jumpers.

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© Uwe Kersting, 201143

© Uwe Kersting, 201144

Summary - IRelationships between kinematic parameters and jump performance are usually not very strong.

Therefore, predictions are almost impossible.

Energy approach provides much simpler analysis and can be used on a daily basis (?).

Muscle stiffness/joint stiffness has to be included.

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© Uwe Kersting, 2011

Force Platforms UseTo identify the magnitude and direction of ground reaction force (i.e., force and moments applied to the platform.

4545

Calculation of the point of force

application

© Uwe Kersting, 201146

Vertical Jump

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© Uwe Kersting, 201147

Predictors of Jump HeightJump type – CMJ > SJ

Leg Strength – Moderate effect

• Explains less than 30% of variation (Dowling & Vamos, 1993)

Peak force late in movement sequence (Dowling, 1992)

Max power output in propulsion phase –strong predictor (Dowling & Vamos, 1993)

• Dependant on knee and ankle power (Arampatzis et al, 2001)

Overall goal – increased jump height (Ford el at, 2005)

© Uwe Kersting, 201148

Jumping

Primary muscles• Hip (40%), knee (24.2%) and ankle (35.8%)

musculature (Hedrick & Anderson, 1996)

• Activation increases stiffness – utilization of elastic energy (optimal level? Non linear relationship)

Arm Swing – increase GRF, increase muscle loading

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© Uwe Kersting, 201149

Countermovement Jump

Four Common Theories to explain increased jump height:

• Storage and re-utilization of elastic energy(Komi, 1992)

• Increased time for force generation(Chapman & Anderson, (1990)

• Potentiation of contractile elements (through stretch)

• Spinal reflexes

© Uwe Kersting, 201150

Jump PerformanceCommon tests:- Jump and reach

- Assumptions: …

- Jump belt test:

Assumptions: …

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© Uwe Kersting, 201151

Determining Jump Height

- Determine flight time:(contact mats or foot switches, video??)

Assumptions: …- Error of 0.5 – 2 cm

(Linthorne, 2001)

V

time

signalflight time

© Uwe Kersting, 201152

Countermovement jump force trace

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© Uwe Kersting, 201153

Impulse-Momentum Relationship

Momentum

(of a moving object):Mom = m * v(t)at any point intime t

Impulse: I = F * t;

actually: I = F * dt

mv

© Uwe Kersting, 201154

Impulse-Momentum Relationship

Resulting vertical impulse (GRI):M * V = v – u – w;

M = body massV = TO velocityv, u, w = areas under force curve

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© Uwe Kersting, 201155

In other terms

BWimpulse: BWI = tcontact * BW

Total Impulse: TI = F(t) dt = Σ Fi * ∆t

Resulting

momentum:

Mom = TI - BWI

© Uwe Kersting, 201156

Realisation in excel

To calculate from measured force signal:

Acceleration of CoM

Velocity of CoM

Displacement of CoM

(all in vertical (z) direction; however applies for horizontal forces as well)

Example

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© Uwe Kersting, 201157

Viscoelasticity of tendon material

Stiffness from cadaver experiments: εTendon = 0.08 – 0.2 GPa

© Uwe Kersting, 201158

Oscillating systems

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© Uwe Kersting, 201159

Achilles tendon anatomy

© Uwe Kersting, 201160

Stiffness testing

Experiment by Shorten & Kerwin (1986)Setup:

Damped oscillation at 3 - 6 Hz

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© Uwe Kersting, 201161

ResultsEMG is constantduring oscillations� activation is const.

Stiffness increases curvilinearly with increasing load

Exp. on isolated muscle show a linear increase with number of cross bridges (Λ = ks P)

� change of the model

© Uwe Kersting, 201162

Mechancial muscle modelkt (kp + ks P)

K = ; overall stiffnesskt + kp + ks P

ks P

kT

kp

kp

kT

ks P

kt = 1091 Nm rad-1

kp = 14.7 Nm rad-1

ks = 13.5 rad-1

Ankle extension moment [Nm]

Angular equivalent stiffness [Nm/rad]

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© Uwe Kersting, 2011

SummarySports biomechanics covers more than the mere description of movement

Energy approaches can be used to explain effects of equipment

Total body (i.e., center of mass) information is a useful performance indicator and relatively easy to access

Energy or basic mechanical principles allow to estimate internal characteristics from external measurements

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