International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017
p-ISSN: 2395-0072
www.irjet.net
Quantification and comparison of Different Non-Linear techniques of EEG signals Navdeep Singh1, Rajesh Kanda2 1M.E.
Scholar, Department of Mechanical engineering, PEC University of Technology, Chandigarh Professor, Department of Mechanical engineering, PEC University of Technology, Chandigarh ---------------------------------------------------------------------***--------------------------------------------------------------------2Associate
Abstract - The research thesis focused on evaluation and
There are 5 lobes of brain. F, C, T, O and P stand for frontal, central, temporal, occipital and parietal lobes. Odd number assigned to any lobe refer to the left hemisphere whereas, even numbers refer to the right hemisphere. "z" (zero) refers to an electrode placed on the midline. The letter codes Fp identify the frontal polar location.
comparison of various non-linear techniques for the analysis of EEG signals acquired while performing mental task. For the study, EEG signal of subject was recorded while performing job on solid works. EEG signal is studied by evaluating the nonlinear parameters like Approximate Entropy, Fuzzy Entropy, Sample Entropy. Borg scale is used for the evaluation of perceived exertion on the scale of 6-20. The study focused on the comparison of nonlinear techniques so as to find to most relevant one to express the mental exertion of worker while performing job on design software. Also, to find the most sensitive node of brain. The study concluded that Brain Node O1-O2 gave the most relevant and best results as compared to other 5 nodes of brain for the prediction of exertion during task. Study also concluded that Fuzzy entropy provides the most relevant approach for study of mental exertion, followed by sample entropy and then approximate entropy. Therefore, we can say that fuzzy entropy can be considered as a parameter to judge the level of mental exertion during the period of task.
Linear analysis of EEG signals includes frequency analysis (e.g. Fourier and Wavelet Transforms) but it they only provide a limited amount of information. These ignore the underlying nonlinear EEG dynamics. The electrical activity of a brain measured by Electroencephalogram (EEG) exhibits complex behavior with non-linear dynamic properties. This behavior takes the form of EEG patterns with different complexities. Considering this, the nonlinear dynamics theory may be a better approach than traditional linear methods in characterizing the intrinsic nature of EEG. The study of nonlinear dynamics and characterization can contribute to the understanding of the EEG dynamics and underlying brain processes. In this work, EEG is recorded for Subject doing mental task of perform job on solid works. EEG signal is studied by evaluating the nonlinear parameters like Approximate Entropy, Fuzzy Entropy, Sample Entropy. Then we perform the comparison of various parameters with perceived exertion calculated on Borg scale of 6-20 on the basis of slope of linear regression Trend lines. So as to provide the most relevant brain node and parameter for EEG signal analysis.
Key Words: EEG, Approximate Entropy, Fuzzy entropy, Sample Entropy, Perceived exertion
1.INTRODUCTION Electroencephalography (EEG) is an electrophysiological monitoring technique for the recording of electrical activity of the brain, which is recorded simultaneously at many locations by one electrode placing at each position on the human scalp. Electrodes are placed with a conductive gel or paste on scalp. EEG measures voltage potential resulting from ionic current within the neurons of the brain. EEG refers to the recording of the spontaneous electrical activity over a period of time.
2. METHODOLOGY The purpose of the study is to perform the comparison of various nonlinear techniques (Approximate Entropy, Fuzzy Entropy, Sample Entropy, Hurst exponent and Lyapunov exponent) so as to find to most relevant one to express the mental fatigue of workers while performing job on design software. Purpose is also to find the most sensitive node of brain and to find the node which will provide best results for the prediction of mental exertion during task. For this purpose, assembly job Pipe Vise on solid works design tool, is selected.
In case of EEG Electrodes are affixed to the skull with conductive gel. The standard placement recommended by the American EEG society for use in the International 1020% system is for 21 electrodes. The standard numbering system in the 10-20 system places odd-numbered electrodes on the left and even numbered electrodes on the right, with the letter designating the anatomic area. It provides the relationship between the position of an electrode and the area of cerebral cortex beneath.
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There was an assembly job of pipe vise on solid works. Drawing of different views of pipe vise is provided to the subjects in hard copy format. 13 Subjects were allowed to
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