EEG Signal Analyzing and Simulation Under Computerized Technological Support
2018 ◽
Vol 7
(3.8)
◽
pp. 38
Keyword(s):
Electroencephalogram (EEG) is a method for acquiring the brain signals for diagnostic purposes. It tracks and records the brain wave patterns. This is a non-invasive technique. The idea behind is to categorize the EEG signal based on the frequency range. The steps include collecting EEG signals, pre-processing, feature extraction, feature selection and classification. The pre-processing eliminates the noises from the signal. EEG signal can be disintegrated by using discrete wavelet transform. The feature extraction methods are used to obtain the time-domain features of the EEG signal. Finally, the classification method determines the variations in the mental state of the person.
Keyword(s):
Keyword(s):
2020 ◽
Vol 17
(5)
◽
pp. 2051-2056
Keyword(s):
Keyword(s):
2018 ◽
Vol 1
◽
pp. 20-22
2018 ◽
Vol 210
◽
pp. 05012
◽
Keyword(s):
2018 ◽
Vol 7
(3.29)
◽
pp. 1