Time-Frequency Analysis from Earthing Application

Ting, Jun Hou and Mahfuzah, Mustafa and Zarith Liyana, Zahari and Pebrianti, Dwi and Zainah, Md. Zain and Nurul Hazlina, Noordin and Rafiuddin, Abdubrani (2019) Time-Frequency Analysis from Earthing Application. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018 , 27-28 September 2018 , Universiti Malaysia Pahang. pp. 421-436., 538. ISBN 978-981-13-3708-6

	Pdf 53. Time-frequency analysis from earthing application.pdf Restricted to Repository staff only Download (589kB) | Request a copy
Preview	Pdf 53.1 Time-frequency analysis from earthing application.pdf Download (332kB) | Preview

Abstract

Body earthing or grounding means that connecting the body in direct and uninterrupted contact with the earth by touching the soil, sand, water, or a conductive surface that is in contact with the earth. By earthing the body, positive charge can be neutralized and return the body to a neutral state as the positive charge that builds up can lead to health problems. There are few types of time-frequency analysis method such as Gabor, Wavelet and Wigner. The experiment of body earthing is done by recording the EEG signal from human brainwave with the Emotive EPOC Headset. To remove the noise of the signals, in pre-processing stage is important to separate the signal into two band frequency band which are alpha band and beta band with the threshold of signal amplitude was set to −100 to 100 μV. Then the peak points were plotted into a histogram to compare the changes of the Alpha and Beta band signals. Lastly, the results of before body earthed and after body earthed were compared through the histogram plotted. The result shows that, before the body earthed, the Alpha band signals are low, while the Beta band signals are high. Then after body earthed, the Alpha band increased, while the Beta band are decreased. From the result show that the body earthing reduced the stress of the student.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Part of the Lecture Notes in Electrical Engineering book series
Uncontrolled Keywords:	EEG signal; Time frequency; Gabor transform; Wavelet transform; Wigner transform
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical & Electronic Engineering
Depositing User:	Pn. Hazlinda Abd Rahman
Date Deposited:	12 Nov 2019 04:16
Last Modified:	12 Nov 2019 04:16
URI:	http://umpir.ump.edu.my/id/eprint/25036
Download Statistic:	View Download Statistics

Actions (login required)

View Item