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The EMG Signal

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EMG - Force Relationship Signal Processing.3 EMG - Force Relationship An EMG signal will not necessarily reflect the total amount of force (or torque) a muscle can ... – PowerPoint PPT presentation

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Title: The EMG Signal


1
The EMG Signal
  • EMG - Force Relationship
  • Signal Processing.3

2
EMG - Force Relationship
  • An EMG signal will not necessarily reflect the
    total amount of force (or torque) a muscle can
    generate
  • The number of motor units recorded by electrodes
    will be less than the total number of motor units
    that are firing - electrodes cant pick-up all
    motor units

3
EMG - Force Relationship Amplitude
  • If a newly recruited motor unit is close to the
    electrode the relative increase in the EMG signal
    amplitude will be greater than the corresponding
    increase in force
  • If a motor unit is too far from the electrode the
    amplitude will not change but the force will
    increase

4
EMG - Force Relationship Amplitude
  • Motor unit firing rate will increase as force
    demand increases
  • Initially force rises rapidly due to increased
    firing rate
  • EMG amplitude will increase less rapidly

5
EMG - Force Relationship Firing Rate
  • As force output increases beyond the rate of
    newly recruited motor units
  • Firing rate will increase
  • Force produced by the motor unit will saturate

6
EMG - Force Relationship Firing Rate
  • As force output increases beyond the rate of
    newly recruited motor units
  • Firing rate will increase
  • Force produced by the motor unit will saturate
  • Total EMG amplitude increases more than force
    output (i.e., non-linear)

EMG
Force
Motor Unit Firing Rate
Motor Unit Firing Rate
7
EMG - Force Relationship Isometric vs.
Isotonic Contractions
  • Lippold (1952), Close (1972) Bigland-Ritchie
    (1981) often cited in suggesting there is a
    linear relationship between IEMG and tension.
  • Zuniga and Simmon (1969) Vrendenbregt and Rau
    (1973) suggested a non-linear relationship exists

8
EMG - Force Relationship Isometric vs.
Isotonic Contractions
9
EMG - Force Relationship Isometric vs.
Isotonic Contractions
  • During isotonic contractions force production
    lags EMG
  • Motor unit twitch (contraction) reaches peak 40 -
    100 msec after motor unit activates
  • Summation of twitch contractions summates the
    delay (Inman et al., 1952 Gottlieb and Agarwal
    (1971)

Force
EMG
10
EMG - Force Relationship Isometric vs.
Isotonic Contractions
  • Working Model Probably a consensus of opinion
    that EMG and force are linear under isometric
    condition and non-linear under isotonic
    conditions (Weir et al., 1992)

11
EMG - Force Relationship Concentric vs.
Eccentric Contractions
  • EMG amplitudes are generally less during negative
    (eccentric) work vs. positive (concentric) work
    (Komi, 1973 Komi et al., 1987)
  • Preloaded tension in tendons (non-contractile
    elements) requires less contribution from muscle
    (contractile elements)
  • Less metabolic work required
  • EMG muscle metabolism

12
Rectification
  • Translates the raw EMG signal to a single
    polarity (usually positive)
  • Facilitates signal processing
  • Calculation of mean
  • Integration
  • Fast Fourier Transform (FFT)

13
Rectification - Types
  • Full-wave
  • Adds the EMG signal below the baseline (usually
    negative polarity) to the signal above the
    baseline
  • Conditioned signal is all positive polarity
  • Preferred method
  • Conserves all signal energy for analysis

14
Rectification - Types
  • Full-wave
  • Half-wave
  • Deletes the EMG signal below the baseline

15
Rectification - Types
Raw EMG
Full-wave Rectified EMG
Half-wave Rectified EMG
Delete
16
Rectification
  • Full-wave rectification takes the absolute value
    of the signal (array of data points)

17
Rectification
  • To rectify the signal turn the toggle switch to
    the On position

18
Integration
  • A method of quantifying the EMG signal
  • Assigns the signal a numerical value
  • Permits manipulation
  • Calculation
  • Example Normalization
  • Statistical analysis
  • A form of linear envelope procedure
  • Measures the area under a curve

19
Integration
Area Under a Curve
Units mV - msec
20
Integration - Procedure
  • EMG signal is
  • Full-wave rectified
  • (Usually) lowpass filtered
  • 5 - 8 (10) Hz
  • Segment selected
  • Integral read (mV- msec or secs)

21
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22
Normalization
  • Question Is it valid to directly compare the EMG
    output (e.g., integral) of a muscle across
    subjects?
  • Subjects will have muscles with
  • different physiological cross-sections
  • different lengths - geometry
  • different ratios of slow- to fast-twitch fibers
  • different recruitment patterns
  • different firing frequencies

23
Answer
  • Probably not!

24
Solution
  • Normalize the measurement value against a maximal
    effort value
  • Divide the sub-maximal effort value (e.g., 50,
    75, etc.) by the maximal effort value
  • The resultant ratio (no units) is the normalized
    signal making direct comparison possible

25
Isometric or Isotonic Effort?
  • Intuitively, it seems to make sense that the
    normalizing maximal effort should be the same as
    the nature of the effort
  • Isometric - Isometric
  • Isotonic/Isokinetic - Isotonic/Isokinetic

26
Isometric or Isotonic Effort?
  • Intuitively, it seems to make sense that the
    normalizing maximal effort should be the same as
    the nature of the effort
  • Isometric - Isometric
  • Isotonic/Isokinetic - Isotonic/Isokinetic
  • Because the relationship between the EMG signal
    and isotonic/isokinetic contractions is probably
    not linear, most sources recommend normalizing
    with the isometric maximal effort value (i.e.,
    during MVC)

27
Therefore...
  • Isometric contraction normalized with an
    isometric MVC
  • and
  • Isotonic/isokinetic contractions normalized with
    an isometric MVC

28
Example
  • Integral during MVC of VM of quadriceps
    5.76 mV - msec
  • Integral of VM at 50 of a sub-maximal effort
    2.13 mV - msec

2.13 mV - msec 5.76 mV - msec
Ratio

.37
29
Reference Sources
  • Bigland-Richie, B. (1981). EMG/force relations
    and fatigue of human volunatry contractions. In
    D.I. Miller (Ed.), Exercise and sport sciences
    reviews (Vol.9, pp.75-117), Philadelphia
    Franklin Institute.
  • Close, R.I. (1972). Dynamic properties of
    mammalian skeletal muscles. Physiological
    Review,52, 129-197.

30
Reference Sources
  • Gottlieb, G.L., G.C. Agarwal, G.C. (1971).
    Dynamic relatiosnhip between isometric muscle
    tension and the electromyogram in man. Journal of
    Applied Physiology, 30, 345-351.
  • Inman, V.T., Ralston, J.B. Saunders, J.B.,
    Fienstein, B, Wright, E.W. (1952). Relation of
    human electromyogram to muscular tension.
    Medicine, Biology and Engineering, 8, 187-194.

31
Reference Sources
  • Komi, P.V. (1973). Relationship between muscle
    tension, EMG, and velocity of contraction under
    concentric and eccentric work. In J.E. Desmedt,
    New developments in electromyography and clinical
    neurophysiology (pp. 596-606), Basel,
    Switzerland Karger.

32
Reference Sources
  • Komi, P.V., Kaneko, M., Aura, O. (1987). EMG
    activity of the leg extensor muscles with special
    reference to mechanical efficiency in concentric
    and eccentric exercise. International Journal of
    Sports Medicine, 8 (suppl), 22-29.
  • Lippold, O.C.J. (1952). The relationship between
    integrated action potentials in a human muscle
    and its isometric tension. Journal of Physiology,
    177, 492-499.

33
Reference Sources
  • Vrendenbregt, J., Rau, G. (1973). Surface
    electromyography in relation to force, muscle
    length and endurance. In J.E. Desmedt (Ed.) New
    developments in electromyography and clinical
    neurophysiology (pp. 607-622), Basel,
    Switzerland Karger.

34
Reference Sources
  • Zuniga, E.N., Simons, D.G. (1969). Non-linear
    relationship between averaged electromyogram
    potential and muscle tension in normal subjects.
    Archives of Physical Medicine and Rehabilitation,
    50, 613-620.

35
Reference Sources
  • Weir, J.P., McDonough, A.L., Hill, V. (1996).
    The effects of joint angle on electromyographic
    indices of fatigue. European Journal of Applied
    Physiology and Occupational Physiology, 73,
    387-392.

36
Reference Sources
  • Weir, J.P, Wagner, L.L., Housh, T.J. (1992).
    Linearity and reliability of the IEMG v. torque
    relationship for the forearm flexors and leg
    extensors. American Journal of Physical Medicine
    and Rehabilitation, 71, 283-287.

37
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