Statistical Modeling of EMG Signal

The aim of this research is to measure and build a statistical model of EMG signals . A linear regression method was applied as a statistical modeling method ,the common types of linear regression models was explored. The electromyography (EMG) was measured from the two hands of a person as a way to perform noise reduction with the use of XOR logical operation facilities . To measure EMG signals, the research used six OLIMEXnbsp EMG shield , controllednbsp by Arduino 328 control board , a new classification and modeling of EMG signals of 5 movements of an arm are presented. One of the six channelsnbsp used for the EMGnbsp measurements was used as anbsp reference channel , while the remaining as a measuring channels . The resultantnbsp EMG of each channel was considered as an independent variable (emg)nbsp for the linear regression model and the movement angle (degree) as a dependent variable for the model