Document Type
Thesis
Date of Award
Fall 1-31-2011
Degree Name
Master of Science in Biomedical Engineering - (M.S.)
Department
Biomedical Engineering
First Advisor
Richard A. Foulds
Second Advisor
Sergei Adamovich
Third Advisor
Kevin Pang
Abstract
Movement and position of the limbs of the human body are controlled by the interaction between the muscle and the peripheral and central nervous system. This interaction is nothing but the neural signals. Neural signals are electrical in nature and referred as action potentials. An EMG is a summation of action potentials from the muscle fibers under the electrode placed on the skin. Thus it is easy to estimate the nature and timing of the movement from the firing of an EMG signal. Kai Chen in his dissertation has built the model to represent the arm movement with stiffness, damping, actual trajectory and Virtual Trajectory.
Virtual trajectory is the representation of the actual movement and thus its onset and offset timings are obtained on the basis of EMG. This study is the extension of the Chen study in order to automate the system by changing the subjective method of finding onset and offset timing of the VT to computational method by means of MATLAB.
Recommended Citation
Korgaonkar, Akshata Anand, "EMG-based determination of upper extremity virtual trajectory" (2011). Theses. 81.
https://digitalcommons.njit.edu/theses/81
