DocumentCode
3725269
Title
Feature extraction from EEG signal through one electrode device for medical application
Author
Sravanth Kumar;Vivek Kumar;Bharat Gupta
Author_Institution
Research Scholars, dept. of ECE, BIT Mesra, Ranchi, India
fYear
2015
Firstpage
555
Lastpage
559
Abstract
In recent years, a vast researches are concentrated towards the development of EEG based human computer interface in arrangement to enhancing the quality of life for medical as well as non-medical applications. Industry and community of research has been attracted by wireless EEG devices and they are easily available in the market. Such technology can be incorporated to psychology, anesthesiology, and for real-time patients monitoring. The Neurosky Mind wave headset device was generally utilize to detect and measure electrical activity of the user´s forehead and transmits the collected data wirelessly, to a computer for further processing. After processing data base, the signals are categories into various frequency bands for feature extraction. In this paper, we present the characteristics and specification of EEG based human computer interfaces for real-time applications. Furthermore, we discuss about the mental or behavior state of the person (Eye Blink, Meditation, Attention levels) through the NeuroSky Mind wave (MW001) device using Openvibe.
Keywords
"Electroencephalography","Computers","Wireless communication","Electrodes","Software","Feature extraction","Wireless sensor networks"
Publisher
ieee
Conference_Titel
Next Generation Computing Technologies (NGCT), 2015 1st International Conference on
Type
conf
DOI
10.1109/NGCT.2015.7375181
Filename
7375181
Link To Document