Analysis of Adaptive Algorithms Based on Least Mean Square Applied to Hand Tremor Suppression Control

The increase in life expectancy, according to the World Health Organization, is a fact, and with it rises incidence of age-related neurodegenerative diseases. most recurrent symptoms are those associated tremors resulting from Parkinson’s disease (PD) or essential (ETs). main alternatives for treatment these patients medication surgical intervention, which sometimes have restrictions side effects. Through computer simulations Matlab software, this work investigates performance adaptive algorithms based on least mean squares (LMS) suppress upper limbs, especially hands. signals pathological hand tremors, related PD, present components at frequencies that vary between 3 Hz 6 Hz, more significant energy fundamental second harmonics, while physiological referred ET, 4 12 Hz. We simulated used as reference algorithms, filtered-x square (Fx-LMS), normalized (Fx-NLMS), hybrid Fx-LMS–NLMS purpose. Our results showed vibration control provided by Fx-LMS–LMS algorithm suitable tremors. For we proposed filtered sinusoidal input signal, Fsinx-LMS, presented best specific case.