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 :
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