Extraction of Features in EEG | Zendy

Ichiro Hamamoto | Zendy; Hisaya Tanaka | Zendy; Masafumi Uchida | Zendy; Hideto Ide | Zendy

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Extraction of Features in EEG

Author(s) -

Ichiro Hamamoto,

Hisaya Tanaka,

Masafumi Uchida,

Hideto Ide

Publication year - 1997

Publication title -

journal of robotics and mechatronics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.257

H-Index - 19

eISSN - 1883-8049

pISSN - 0915-3942

DOI - 10.20965/jrm.1997.p0239

Subject(s) - electroencephalography , computer science , waveform , alpha wave , artificial intelligence , filter (signal processing) , pattern recognition (psychology) , brain waves , adaptive filter , feature extraction , speech recognition , computer vision , neuroscience , psychology , algorithm , telecommunications , radar

We take various information from the outside world into our brain by moving our eyes in every direction and sounds EEG contain basic rhythms of the brain, such as alpha waves, and components, such as myoelectric potentials. The results of the simulation indicated that the use of multiple windows would raise the accuracy in the detection of time delays and demonstrated the effectiveness of the present technique. However, the features of the estimated waveforms of the adaptive correlation filter are affected by various elements, and the level of accuracy is not so high as to be useful in clinical medicine.

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