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The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title: EMG-based determination of upper extremity virtual trajectory
Author: Korgaonkar, Akshata Anand
View Online: njit-etd2011-033
(x, 48 pages ~ 1.5 MB pdf)
Department: Department of Biomedical Engineering
Degree: Master of Science
Program: Biomedical Engineering
Document Type: Thesis
Advisory Committee: Foulds, Richard A. (Committee chair)
Adamovich, Sergei (Committee member)
Pang, Kevin (Committee member)
Date: 2011-01
Keywords: Virtual trajectory
Electromyography
Action potential
Availability: Unrestricted
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.


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