Author : Retheep Raj and K S Sivanandan

Work is intended to find out the relationship of biological signals with respect to the voluntary movement of human organs. Here the concentration is on elbow as a preliminary case, on experimental observation it is found out that the characteristics such as amplitude, frequency etc. of raw SEMG signals are very complex to relate it with the dynamics of elbow. A close analysis of Surface Electromyography (SEMG) signals through the well-established signal processing technique revealed some prospective encouraging result. So even though the relationship between the raw SEMG and the elbow kinematics is difficult to establish, the SEMG signal parameters like Integrated EMG (IEMG), Zero crossing (ZC), Root mean square value (RMS), Mean absolute value (MAV), Slope sign change (SSC) and Waveform length (WL) of the biological signal showed some useful relationship with the elbow dynamics. This experimentally verified relationship between the time domain parameters and the dynamics of human elbow is the content of the paper. The detailed description of this relationship is presented in the paper.

Keywords: Surface Electromyography, time domain features of SEMG, Integrated EMG (IEMG), Zero crossing (ZC), Root mean square value (RMS), Mean absolute value (MAV), Slope sign change (SSC), Waveform length (WL), cross correlation.

Article published in International Journal of Current Engineering and Technology, Vol.5, No.5 (Oct-2015)