Biomedical Engineering Reference
In-Depth Information
(A)
Ankle
(B)
Trunk
4000
4000
3000
3000
2000
2000
1000
1000
0
0
0.0
0.2
0.4
0.6
0.8
1.0
0.0
0.2
0.4
0.6
0.8
1.0
(C)
Elbow
(D)
Knee
4000
2000
Expected indensity-ET
95% Prediction interval
Model prediction
3000
1500
2000
1000
1000
500
0
0
0.0
0.2
0.4
0.6
0.8
1.0
0.0
0.2
0.4
0.6
0.8
1.0
(E)
Hand/Grip
(F)
Shoulder
2000
2000
1500
1500
1000
1000
500
500
0
0
0.0
0.2
0.4
0.6
0.8
1.0
0.0
0.2
0.4
0.6
0.8
1.0
Intensity
Intensity
FIGURE 6.13
Model predictions compared with statistical fatigue model ( Frey-Law and Avin, 2010 ).
Note how well the three-compartment model can reproduce the static intensity-ET
relationships for each joint, simply using two model parameters.
Reprinted with permission from Frey-Law et al., 2012a
TL
target level for the task (% maximum) that the controller is attempting
to match.
5
We have validated the model against statistical fatigue models obtained from
our meta-analysis systematic review ( Frey-Law et al., 2012a ). This approach
reproduces the intensity-ET curves exceedingly well
( Figure 6.13 ) and is
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