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A SIMPLE METHOD TO MEASURE EXTERNAL
FORCE, POWER OUTPUT AND
EFFECTIVENESS OF FORCE APPLICATION
DURING SPRINT ACCELERATION
@jb_morin
J-B Morin
Professor
University of Nice, France
jean-benoit.morin@unice.fr
Things as they are….
Work in progress…
2010
Field Field
Only	
  2	
  (im)possibilities	
  	
  	
  	
  L	
  
SPRINT INSTRUMENTED TREADMILL
St-Etienne, France
Doha, Qatar
FORCE PLATES
INSEP, Paris, France
2015,	
  a	
  simple	
  .ield	
  method	
  
 
1927
Archibald
V. HILL
1950’s
Franklin Henry
Modern Devices
v(t) = vmax.(1-e(-t/τ))
vmax
di Prampero et al.,
J Exp biol, 2005 Furusawa et al., 1927
Henry, 1954
Volkov & Lapin, 1979
2015,	
  a	
  simple	
  .ield	
  method	
  
a(t) = (vmax/τ).e(-t/τ))
Fh(t) = m.a(t) + Fair
Estimated from speed, mass
and height
Ph(t) = Fh (t) . v(t)
v(t)
Ph(t)
Fh(t)
Linear F-V relationship
Polynomial 2 P-V relationship
Validity ??
F0
V0
Pmax
2015,	
  a	
  simple	
  .ield	
  method	
  
2015,	
  a	
  simple	
  .ield	
  method	
  
• INSEP-Paris: 3D GRF for 18 steps over 40-m sprints
• 9 Elite and sub-elite sprinters (2 sub-10 s)
6.60m force plates
0 - 6.60 m
6.60m - 13.2 m
14m - 20.6 m
2 sprints
23.4m - 30 m
33.4m - 40 m
2 sprints
1 sprint
1 sprint
1 sprint
Very high reproducibility…
!
Comparison with force plates:
Validity, Reproductibility J
2015,	
  a	
  simple	
  .ield	
  method	
  
Pierre	
  Samozino,	
  PhD	
  
University	
  of	
  Savoy	
  	
  	
  	
  	
  	
  	
  	
  
	
   	
   	
  
	
   	
   	
  	
  	
  	
  	
  
FORCE-­‐VELOCITY-­‐POWER	
  Pro1ile	
  of	
  Usain	
  Bolt’s	
  World	
  Record	
  
Running	
  Speed	
  (m/s)	
  
Distance	
  (m)	
  
S(t) = Smax 1−e−t/τ
( )
Field	
  Measurements	
  
In	
  competition	
  	
  
conditions	
  
Computing	
  
Modeled	
  
Speed-­‐time	
  
curve	
  
Computed	
  Net	
  
Horizontal	
  
Force	
  output	
  
Max	
  Power	
  Output	
  of	
  30	
  W/kg	
  
reached	
  after	
  about	
  1	
  s…	
  
Power	
  =	
  Force	
  x	
  Speed…	
  
SpeciJic,	
  Field	
  Sprint	
  Force-­‐Velocity-­‐Power	
  proJile	
  
Jean-­‐Benoit	
  Morin,	
  PhD	
  
University	
  of	
  Nice	
  	
  	
  	
  	
  	
  	
  	
   	
  
	
  
“F0”	
  
“V0”	
  
Pmax	
  
Vopt	
  
F0	
  and	
  V0	
  are	
  the	
  theoretical	
  maximal	
  outputs	
  of	
  the	
  system	
  
Vopt	
  is	
  the	
  speed	
  at	
  which	
  Pmax	
  is	
  produced	
  
The	
  magnitude	
  of	
  the	
  slope	
  (F0/V0)	
  describes	
  the	
  Force-­‐Velocity	
  proJile	
  of	
  the	
  athlete	
  
DEVICES…	
  
Stalker ATS Pro II
Speed-time curves
Timing Gates
5 split times
Appropriate trigger…
GPS Units ??
Speed-time curves
R. Nagahara
21 subjects, 5Hz GPS vs 100 Hz Laser
Average data…
Category: Coaching
2011,	
  Concept	
  of	
  Effectiveness…	
  
For each step, averaged values of
Horizontal, Vertical and Total Force
1. Concept of « Ratio of Force » RF
HZT
VTC TOT
2011,	
  Concept	
  of	
  Effectiveness…	
  
y = -0.0805x + 0.6584
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
2.0 3.0 4.0 5.0 6.0 7.0
Vitesse (m/s)
Ratiodeforces
Velocity
of
Step after step, the RF decreases….
for all athletes….
2. Decrease in the RF: Drf
Slope = index of the
effectiveness of force application
onto the ground (Drf)
Step 1 Step 6
Very efficient
Not efficient
2011,	
  Concept	
  of	
  Effectiveness…	
  
We also compute the Ratio of Force !
After 50% of Vmax, Fv = m.g
2015,	
  a	
  simple	
  .ield	
  method	
  
Applications:	
  optimized	
  training	
  
Example: Season follow-up of C. Lemaitre
1st meeting…
Winter…
3 days before London…
Applications:	
  training	
  
Individual comparisons + Team Season Follow-up…
Applications:	
  training	
  
TYPICAL	
  EXAMPLE:	
  
The	
  player	
  is	
  «	
  low	
  »	
  on	
  40m……But	
  has	
  high	
  velocity	
  skills!	
  
	
   	
  	
  
Applications:	
  training	
  
TYPICAL	
  EXAMPLE:	
  
Same	
  30m	
  time,	
  but	
  different	
  capabilities….	
  	
  
DIFFERENT	
  TRAINING	
  PROGRAMS	
  ?!	
  
PLAYER 1
T30: 4.9 sec 4.8 sec
V0: 11.2 m/s 9.5 m/s
F0: 5.15 N/kg 7.5 N/kg
PLAYER 2
Applications:	
  training	
  
Martin Buchheit
PSG
Applications:	
  training	
  
Applications:	
  Injury	
  Management	
  	
  
	
   	
   	
  (prevention	
  /	
  rehab)	
  
BETTER	
  TRAINING	
  PROGRAM	
  =	
  PREVENTION	
  !	
  
PLAYER 1
T30: 4.9 sec 4.8 sec
V0: 11.2 m/s 9.5 m/s
F0: 5.15 N/kg 7.5 N/kg
PLAYER 2
Applications:	
  injury	
  management	
  
Mendiguchia	
  et	
  al.	
  Int	
  J	
  Sports	
  Med,	
  2014	
  
Jurdan Mendiguchia
Zentrum Center, Baranain
Applications:	
  injury	
  management	
  
Mendiguchia	
  et	
  al.	
  Int	
  J	
  Sports	
  Med,	
  2014	
  
At « Return to Sport » (post hamstring injury):
Ø Pmax and F0 (not V0) lower in injured group
Ø 2 months later, values back to « normal » (non-injured)…
1/	
  what	
  objectvie/functional	
  tests	
  were	
  used	
  to	
  give	
  «	
  RTS	
  »	
  ?	
  
2/	
  what	
  risks	
  during	
  this	
  2-­‐month	
  (or	
  less)	
  period!?	
  
Applications:	
  injury	
  management	
  
«	
  Case	
  study	
  »	
  
Elite	
  Soccer	
  player
Applications:	
  injury	
  management	
  
2-­‐season	
  cohort	
  follow-­‐up	
  study	
  (soccer,	
  rugby,	
  sprint…)	
  
1/	
  Is	
  F-­‐V-­‐P	
  pro.ile	
  related	
  to	
  a	
  higher	
  risk	
  of	
  injury?	
  
	
  
	
  	
  	
  	
  	
  	
  	
  2/	
  Is	
  it	
  an	
  interesting	
  functional	
  variable	
  in	
  injury	
  management?	
  
	
  
	
  	
  	
  	
  3/	
  Does	
  it	
  have	
  a	
  predictive	
  feature?	
  
Applications:	
  injury	
  management	
  
Collaborators: R. Nagahara, Japan - J. Mendiguchia, Spain - P. Samozino, France
ISBS 2015 Sprint Applied Session, Theoretical Part

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ISBS 2015 Sprint Applied Session, Theoretical Part

  • 1. A SIMPLE METHOD TO MEASURE EXTERNAL FORCE, POWER OUTPUT AND EFFECTIVENESS OF FORCE APPLICATION DURING SPRINT ACCELERATION @jb_morin J-B Morin Professor University of Nice, France jean-benoit.morin@unice.fr
  • 2. Things as they are…. Work in progress… 2010 Field Field
  • 3. Only  2  (im)possibilities        L   SPRINT INSTRUMENTED TREADMILL St-Etienne, France Doha, Qatar FORCE PLATES INSEP, Paris, France 2015,  a  simple  .ield  method  
  • 4.   1927 Archibald V. HILL 1950’s Franklin Henry Modern Devices v(t) = vmax.(1-e(-t/τ)) vmax di Prampero et al., J Exp biol, 2005 Furusawa et al., 1927 Henry, 1954 Volkov & Lapin, 1979 2015,  a  simple  .ield  method  
  • 5. a(t) = (vmax/τ).e(-t/τ)) Fh(t) = m.a(t) + Fair Estimated from speed, mass and height Ph(t) = Fh (t) . v(t) v(t) Ph(t) Fh(t) Linear F-V relationship Polynomial 2 P-V relationship Validity ?? F0 V0 Pmax 2015,  a  simple  .ield  method  
  • 6. 2015,  a  simple  .ield  method   • INSEP-Paris: 3D GRF for 18 steps over 40-m sprints • 9 Elite and sub-elite sprinters (2 sub-10 s) 6.60m force plates 0 - 6.60 m 6.60m - 13.2 m 14m - 20.6 m 2 sprints 23.4m - 30 m 33.4m - 40 m 2 sprints 1 sprint 1 sprint 1 sprint Very high reproducibility… !
  • 7. Comparison with force plates: Validity, Reproductibility J 2015,  a  simple  .ield  method  
  • 8. Pierre  Samozino,  PhD   University  of  Savoy                                     FORCE-­‐VELOCITY-­‐POWER  Pro1ile  of  Usain  Bolt’s  World  Record   Running  Speed  (m/s)   Distance  (m)   S(t) = Smax 1−e−t/τ ( ) Field  Measurements   In  competition     conditions   Computing   Modeled   Speed-­‐time   curve   Computed  Net   Horizontal   Force  output   Max  Power  Output  of  30  W/kg   reached  after  about  1  s…   Power  =  Force  x  Speed…   SpeciJic,  Field  Sprint  Force-­‐Velocity-­‐Power  proJile   Jean-­‐Benoit  Morin,  PhD   University  of  Nice                     “F0”   “V0”   Pmax   Vopt   F0  and  V0  are  the  theoretical  maximal  outputs  of  the  system   Vopt  is  the  speed  at  which  Pmax  is  produced   The  magnitude  of  the  slope  (F0/V0)  describes  the  Force-­‐Velocity  proJile  of  the  athlete  
  • 9. DEVICES…   Stalker ATS Pro II Speed-time curves Timing Gates 5 split times Appropriate trigger… GPS Units ?? Speed-time curves R. Nagahara 21 subjects, 5Hz GPS vs 100 Hz Laser Average data…
  • 10. Category: Coaching 2011,  Concept  of  Effectiveness…  
  • 11. For each step, averaged values of Horizontal, Vertical and Total Force 1. Concept of « Ratio of Force » RF HZT VTC TOT 2011,  Concept  of  Effectiveness…  
  • 12. y = -0.0805x + 0.6584 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 2.0 3.0 4.0 5.0 6.0 7.0 Vitesse (m/s) Ratiodeforces Velocity of Step after step, the RF decreases…. for all athletes…. 2. Decrease in the RF: Drf Slope = index of the effectiveness of force application onto the ground (Drf) Step 1 Step 6 Very efficient Not efficient 2011,  Concept  of  Effectiveness…  
  • 13. We also compute the Ratio of Force ! After 50% of Vmax, Fv = m.g 2015,  a  simple  .ield  method  
  • 15. Example: Season follow-up of C. Lemaitre 1st meeting… Winter… 3 days before London… Applications:  training  
  • 16. Individual comparisons + Team Season Follow-up… Applications:  training  
  • 17. TYPICAL  EXAMPLE:   The  player  is  «  low  »  on  40m……But  has  high  velocity  skills!         Applications:  training  
  • 18. TYPICAL  EXAMPLE:   Same  30m  time,  but  different  capabilities….     DIFFERENT  TRAINING  PROGRAMS  ?!   PLAYER 1 T30: 4.9 sec 4.8 sec V0: 11.2 m/s 9.5 m/s F0: 5.15 N/kg 7.5 N/kg PLAYER 2 Applications:  training  
  • 20. Applications:  Injury  Management          (prevention  /  rehab)  
  • 21. BETTER  TRAINING  PROGRAM  =  PREVENTION  !   PLAYER 1 T30: 4.9 sec 4.8 sec V0: 11.2 m/s 9.5 m/s F0: 5.15 N/kg 7.5 N/kg PLAYER 2 Applications:  injury  management  
  • 22. Mendiguchia  et  al.  Int  J  Sports  Med,  2014   Jurdan Mendiguchia Zentrum Center, Baranain Applications:  injury  management  
  • 23. Mendiguchia  et  al.  Int  J  Sports  Med,  2014   At « Return to Sport » (post hamstring injury): Ø Pmax and F0 (not V0) lower in injured group Ø 2 months later, values back to « normal » (non-injured)… 1/  what  objectvie/functional  tests  were  used  to  give  «  RTS  »  ?   2/  what  risks  during  this  2-­‐month  (or  less)  period!?   Applications:  injury  management  
  • 24. «  Case  study  »   Elite  Soccer  player Applications:  injury  management  
  • 25. 2-­‐season  cohort  follow-­‐up  study  (soccer,  rugby,  sprint…)   1/  Is  F-­‐V-­‐P  pro.ile  related  to  a  higher  risk  of  injury?                  2/  Is  it  an  interesting  functional  variable  in  injury  management?            3/  Does  it  have  a  predictive  feature?   Applications:  injury  management   Collaborators: R. Nagahara, Japan - J. Mendiguchia, Spain - P. Samozino, France