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Lee E. Brown, EdD, CSCS,*D

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Title: Lee E. Brown, EdD, CSCS,*D


1
THE EFFECT OF SHORT TERM ISOKINETIC TRAINING ON
LIMB VELOCITY
  • Lee E. Brown, EdD, CSCS,D
  • California State University, Fullerton

2
Preface
  • Acute performance gains are attributed to
    learning.
  • Motor learning is a neural event demonstrated
    physically.
  • Neural adaptation has been shown relative to
    force.
  • Activation or rate coding are responsible.

3
Introduction
  • Force is only a byproduct of acceleration.
  • Acceleration is the key to velocity.
  • Maximum velocity results in maximum energy or
    force.
  • KEY is to maximize the rate of force development.

4
Sport Physics
  • Mass quantity of matter a body contains.
  • Weight mass x accel. of gravity.
  • Velocity rate of change in position.
  • Acceleration rate of change in velocity.
  • Force mass x acceleration.
  • Torque force x lever arm.
  • Work torque x distance.
  • Power work/time.

5
Implements
6
Objects
7
Launching
8
Medium
9
Inertia
10
Energy
  • Kinetic Energy ½ mass x v2
  • 300 grain bullet (M (300 gr)/7000 gr/lb 32.2
    ft/sec2 0.00133 lb sec2/ft )
  • v of 10f/s (.5x0.00133x102) 0.06ft/lbs
  • v of 3000f/s (.5x0.00133x30002)5958ft/lbs

11
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12
Measurement
  • Resultant implement velocity is derived from
    human movement.
  • Human movement is a function of neural and
    morphologic changes.
  • Measurement of velocity is fundamental to
    performance.
  • Isokinetics allows a window into human movement
    speed variability.

13
(DCC)
(RVD)
(LR)
14
Variables
  • RVD is sensitive to speed and human variability.
  • LR is a function of ACCROM.
  • Force is sensitive to speed and human
    variability.
  • DCC is machine controlled.

15





Brown, L. E., Whitehurst, M., Gilbert, P.R.
Buchalter, D.N. (1995). The effect of velocity
and gender on load range during knee extension
and flexion exercise on an isokinetic device. J.
Orthop. Sports Phys. Ther., 21(2), 107-112.
16
Strength gains of untrained after initial 8-weeks
are due to neural adaptation then muscular
hypertrophy.
  • Moritani, T. deVries, H.A. (1979). Neural
    factors versus hypertrophy in the time course of
    muscle strength gain. American Journal of
    Physical Medicine, 58(3), 115-30.

17
Strength gains following short-term training
utilizing isokinetic dynamometry are velocity
specific (fast only) and related to neural
adaptation. (25 improvement)
  • Prevost, M.C., Nelson, A.G., Maraj, B.K.V.
    (1999). The effect of two days of
    velocity-specific isokinetic training on torque
    production. Journal of Strength and Conditioning
    Research, 13(1), 35-39.

18
Rationale
  • Force is only a function of velocity.
  • Max velocity is a function of acceleration.
  • Therefore, training specificity should be
    reflected in acceleration and any force increase
    should be reflected in a concomitant increase in
    acceleration.

19
Hypotheses
  • The fast training group will decrease RVD at the
    fast speed only.
  • The slow group will exhibit no RVD change at any
    speed.
  • The slow group will increase force at the slow
    speed only.
  • The control group will exhibit no change at any
    speed.

20
Testing and Training Design
  • 60 college age male and female subjects.
  • Three random groups (control, fast and slow).
  • Five maximal repetitions at 60 and 240 d/s.
  • Test on day one and day seven.
  • Two training sessions separated by 48 hours
    consisting of 3 sets of 8 repetitions at 60 or
    240 d/s.

21
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22
Data Collection and Analysis
  • Diverted the signal to an A/D board sampling at
    1000Hz.
  • Raw ASCII data exported to Excel as time, force,
    velocity and position columns.
  • Three univariate (RVD, LR, Force ) four-way
    mixed factorial (2 speeds X 2 times X 2 genders X
    3 groups ) ANOVAs to analyze the data.

23
Reliability at 60 d/s
24
Reliability at 240 d/s
25
Results
  • Significantly high variable reliability at fast
    speeds but not slow.

26
Reliability
  • First study to evaluate velocity reliability.
  • Reliability of force consistent with
  • Farrell, 1986
  • Brown, 1992 1993
  • Mean values consistent with
  • Farrell, 1986
  • Taylor, 1991
  • Brown, 1992 1993
  • Wilson, 1997
  • Greenblatt, 1997

27
DCCROM at 60 d/s
28
DCCROM at 240 d/s
29
Force at 60 d/s
30
Force at 240 d/s
31
Results
  • No significant differences in force or DCCROM by
    time for any group.

32
Force and Deceleration
  • Force inconsistent with Prevost, 1999.
  • Probably due to data reduction techniques.
  • DCCROM consistent with
  • Farrell, 1986
  • Taylor, 1991
  • Brown, 1995

33
RVD at 60 d/s
34
LR at 60 d/s
35
RVD at 240 d/s
36
LR at 240 d/s
37
Results
  • Significant decrease in RVD by time for the slow
    group at the slow speed and for the fast group at
    the fast speed.
  • Significant increase in LR by time for the slow
    group at the slow speed and for the fast group at
    the fast speed.

38
Acceleration and Load Range
  • Reduction in RVD results in LR increase.
  • Reduction of RVD with maintenance of force
    results in an increase in rate of force
    development.

39
Conclusions
  • Acute improvements may be explained as the result
    of neural adaptations.
  • Increased motor unit recruitment or firing rate.
  • Increased rate of force development may maximize
    human performance.
  • Future research should determine optimum
    frequency and volume for velocity specific
    training.

40
Next Class
  • RVD, RFD Fmm lab
  • Chapter 6
  • Abstract homework
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