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MUSCLE INDETERMINACY

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Estimating force in a single muscle. In two muscles: ... Brachioradialis: Most large muscles. 2000 ESK/JES. POSTECH. Microscopic Structure. Muscle ( x 1) ... – PowerPoint PPT presentation

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Title: MUSCLE INDETERMINACY


1
MUSCLE INDETERMINACY
  • Overview
  • Definitions
  • Estimating force in a single muscle
  • In two muscles problem of indeterminacy
  • Working around indeterminacy

2
Force Generated by One Muscle
a 0
  • inverse dynamics

3
Inverse Dynamics
  • MNET I a
  • MELBOW - MWEIGHT IFOREARM aFOREARM
  • MELBOW - 50 N (0.32 m) IFOREARM aFOREARM
  • MELBOW - 16 N m IFOREARM (0)
  • MELBOW - 16 N m 0
  • MELBOW 16 N m

4
Single-Muscle Example
  • Muscular elbow moment moment produced by
  • MBICEPS MELBOW
  • Biceps moment arm
  • MBICEPS
  • 16 N m
  • FBICEPS

5
An Easy Question
  • What is the pulling force necessary to support
    the weight?

100 N
6
A Harder Question
  • What is

F1
F2
100 N
7
Muscle Indeterminacy
  • Addition of
  • easy to determine how
  • impossible
  • Knowing weight ltgt
  • Cables forces ltgt

8
Mathematics of Indeterminacy
  • Example
  • Number of
  • Equations may be solved if
  • though a unique solution

9
Force Generated by Two Muscles
FBICEPS ?
FBRACHIORADIALIS ?
50 N
10
  • MELBOW
  • Elbow moment moment produced by
  • Assume
  • dBICEPS 4 cm (as before) dBRA 6 cm
  • MELBOW
  • 16 N m
  • One equation, two unknowns

11
Three Solutions to Muscle Indeterminacy Problem
  • Reduction Reduce number of unknowns by
  • Optimization Assume that the body tries to meet
  • EMG to force processing Use known mechanical
    properties

12
Reduction Method
FBICEPS ?
FBRACHIORADIALIS 0 (assumed)
50 N
13
Reduction Method (cont)
  • Assumptions usually
  • Advantage
  • Disadvantages
  • Co-contraction forces
  • Assumption rarely

14
Optimization Method
  • Example 2 F 3 G 12
  • Assume that the right values for F and G are ones
    that
  • F G F2 G2
  • 0 4
  • 6 0
  • 3 2
  • Minimization results in F 1.84 G 2.77 F2
    G2 11.08

15
Optimization Method (cont)
  • Optimization criteria
  • minimal total muscle force
  • minimal total squared muscle force
  • minimal total muscle stress
  • minimal total ligament force
  • minimal total joint force
  • minimal energy expenditure

16
Optimization Method (cont)
  • Can produce force predictions that
  • Disadvantages
  • Best optimization criterion
  • Optimization doesnt make sense in

17
EMG to Force Processing
  • A muscles force depends on its
  • If these quantities can be measured, each
  • Indeterminacy problem

18
Review Muscle Indeterminacy
F1
F2
100 N
19
MUSCLE PROPERTIES I
  • Overview
  • Muscle as a machine
  • Terminology and classification
  • Muscular contraction
  • Series vs. parallel organization

20
  • This Lecture What is muscle? How does it
    generate force?
  • Next Lecture Mathematical models of muscle force
    production

21
Muscle Meat and Machinery
Everyone knows that meat is really muscle.
Muscle is the only known piece of machinery which
can be cooked in many ways. - T.A. McMahon
22
Muscle versus Machine
  • force weight speed direction
  • (N) (N) (mm/s)
  • push/pull

Jordan Controls LA-1100 linear actuator vastus m
edialis
23
Desirable Qualities of Muscle
  • Excellent
  • Built-in
  • Self-

24
Muscle-tendon Terminology
origin - tendon (proximal) muscle belly -
actively tendon (distal) insertion -
25
Muscle Classifications
  • Smooth,
  • Also classified by
  • Pennation
  • Pennation also

q
26
Muscle Classifications (cont)
27
Muscle Fiber Types
  • Slow
  • Fast

28
Muscle Fiber Types (cont)
  • Soleus
  • Brachioradialis
  • Most large muscles

29
Microscopic Structure
30
Force Generation at the Molecular Level
31
Sliding Myofilaments
  • Actin and myosin
  • Force generated by

32
Muscle Contraction
33
Muscle Contraction (cont)
1. 2. 3. 4. 5. 6. Rigor mortis
muscles become rigid in death when
34
Muscle Contraction (cont)
F
two twitches, far apart
t
two twitches, close together
tetanus
35
Muscle Contraction (cont)
  • isometric
  • concentric
  • eccentric

36
Linking in Series
F
  • When force bearing elements are linked in series,
  • Examples

F
37
Linking in Parallel
  • When force bearing elements are linked in
    parallel,
  • Examples

2 F
F
F
F
F
2 F
38
Use It or Lose It
  • When muscle is not used
  • Atrophy
  • Reverse occurs
  • Hypertrophy
  • Less common
  • Hyperplasia

39
Review Series Arrangement
FBD for weight
FBD for bottom link
FBD for middle link
  • Each link
  • Each sarcomere

40
Review Parallel Arrangement
  • Lifters arranged in parallel each
  • Muscle fibers
  • Stronger muscles have

41
Review Contractile Proteins
42
MUSCLE PROPERTIES II
  • Overview
  • Idea of a muscle model
  • Force-length relationship
  • Force-velocity relationship
  • Electromyographic activity
  • Hill muscle model

43
Mathematical Models
  • Model
  • Examples
  • Ethical considerations make
  • Mathematical model uses

44
Mathematical Model of a Spring
  • Pulling on a spring
  • What kind of model (equation) would

x
F
45
Spring Model (cont.)
F (N) x (mm) 0 0.0 1 4.1 2 8.1 3 11.9
  • Equation F kx (with k 4) is a
  • Would model
  • Model only valid

46
Muscle Force-Length Passive
  • Passive (not contracting) muscle acts like a
  • Pulling force
  • Caused by

F
length
lo
47
Muscle Force-Length Active
  • Active force
  • Crossbridges arranged
  • Number of crossbridges depends on

actin (thin) filament
myosin (thick) filament
48
Crossbridge formation increases, then decreases
with filament overlap
49
Active Force Length Curve for Muscle
F
plateau
length
lo
50
Total Force-Length Active Passive
note peak in active curve occurs at length lo
F
Fo
passive
lo
length
Fo max isometric force
51
Determination of F-L Curves
  • Experiments done on
  • Muscle held at constant length while
  • passive
  • total
  • Active force-length curve determined

52
Force-Velocity Effect
  • Quick-release experiments show that
  • than
  • than
  • Quick-release experiment

W1
string cut
W2
53
Force-Velocity Curve
lengthening force gt isometric force
isometric force
shortening force lt isometric force
54
Electromyographic (EMG) Activity
  • Electrical activity of muscle
  • Measured using
  • Active F-L, F-V curves

55
Scaling of F-V Curve by EMG
F
EMG level
100
75
Fo
50
25
shortening
lengthening
velocity
56
Hill-Type Muscle Model
CE
SE
  • Proposed by A.V. Hill (1938)
  • Accurate for
  • Three components

PE
57
The Hill Equation
  • Describes behavior of
  • v b (Fo - F) / (a F)
  • where v Fo isometric force a, b
    parameters unique to each muscle
  • Note that for
  • Plotting the Hill equation (F vs v) gives

58
Muscle Viscoelasticity
  • Viscoelastic effect
  • Ex.
  • Stretching exercises may reduce

F
no stretching
with stretching
length
59
Review Muscle Force-Length Curves
60
Review Active Force Length Curve
F
length
61
Review Force-Velocity Curve
lengthening force gt isometric force
isometric force
shortening force lt isometric force
62
Review Predicting Muscle Force
EMG to Force
EMG
Force-Length
muscle length
force
Force-Velocity
shortening velocity
muscle model equations that predict force from
EMG, length, and/or velocity
63
ENERGY AND POWER IN BIOMECHANICS
  • Overview
  • Energy
  • Energy storage/transfer in walking and running
  • Power
  • Analysis of ankle power in terminal stance

64
Energy
  • Energy
  • Forms of energy
  • Energy may be
  • Unit
  • 1 J of energy necessary to

65
Kinetic Energy (KE)
  • Any body that
  • translational
  • rotational
  • As body loses KE (comes to a stop),
  • or

66
Potential Energy (PE)
  • Stored energy that
  • Gravitational PE
  • PE
  • Elastic PE -
  • for a spring, PE

67
Example Ball Thrown Upward
  • As ball reaches peak,
  • Top
  • Bottom
  • Total energy

KE
68
Energy Transfer in Walking
energy
total
KE
PE
time
Energy switches between
Total energy
lower v
higher v
69
Example Bouncing Ball
  • Ball has
  • Ball has
  • Ball has

KE transformed to elastic PE stored in ball when
it is deformed
70
Energy Transfer in Running
energy
KE PE metabolic
KE
PE
time
  • KE, PE are
  • Energy fluctuations apparent even when
  • Where does
  • Where does

71
Energy Transfer in Running (cont)
  • At lowest point energy
  • Bone, crossbridges
  • Tendon stretch allows

72
Power
  • Power
  • Forms of power
  • Unit
  • 1 W represents
  • 100 W lightbulb
  • Joint power

73
Push-Off vs. Rollover
  • Push-off
  • ankle power
  • Rollover
  • ankle power

74
Ankle Power Measurement
power
gait cycle
TO
100
  • Winter (1983)
  • Large late stance power peak
  • Later study by Winter et al. (1990) showed
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