Computational Intelligence in Analysis of Electromyography Signals - Computational Intelligence in Biomedical Engineering - page 263

Biomechanical model
Knee torque

Joint angles
and floor contact

Inverse
dynamics

Calibration

Joint
torques

EMG to force
functions

Forward
dynamics

Motion
controller

EMG

Forces

Parameters

Control and
encoder signals

FIGURE 5.27
The leg exoskeleton developed and reported by Fleischer et al. (2005) and the
system-operation flowchart.

system intricate. Signal-processing and CI techniques have addressed this
problem by attempting to extract characteristic information and estimate the
related muscle activity; however, further investigation is required to improve
the system's performance and to extend their usefulness to other disorders,
which are more dicult to diagnose.

References
Akaike, H. (1974). A new look at the statistical model identification. IEEE
Transactions on Automatic Control 19 , 716-723.