ABSTRACT
Adaptive algorithms have been applied in noise and vibration
suppression in several engineering areas. This work investigates
the practicality of analysis between techniques of active vibration
control for the suppression of movements arising from hand
tremors. The signals generated by the pathological motion have
frequencies between 3Hz and 6Hz, with the highest concentration
of energy in the gestures. These signals are acquired in the
fundamental harmonic and the second harmonic, whereas physiological
tremors vary between 2Hz and 12Hz. We have used computational
tools in Matlab to simulate these signals. We have used
the least mean square (LMS) based algorithms, namely Filtered-x
Least Mean Square (Fx-LMS), Filtered-x Normalized Least Mean
Square (Fx-NLMS), and a hybrid Fx-NLMS&LMS. In our results, we
identify a faster response by the Fx-LMS&LMS algorithm in the
active vibration control for physiological tremors. In this example,
the algorithm has required 3000 samples for steady-state.