ELECTROENCEPHALOGRAPH SIGNAL CLASSIFICATION FOR DIFFERENT WAVE DIAGNOSIS

Alagappa Institute of Skill Development & Computer Centre,Alagappa University, Karaikudi, India.15 -16 February 2017. IT Skills Show & International Conference on Advancements In Computing Resources (SSICACR-2017)

Format: Volume 5, Issue 1, No 18, 2017

Copyright: All Rights Reserved ©2017

Year of Publication: 2017

Author: K.C.Lavanya,V.Kalaimani

Reference:IJCS-244

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Abstract

In Patients brainwaves are produced by synchronized electrical pulses from masses of neuron communicating of neurons communicating with each other.These waves are detected using sensors electrodes and attached to the scalp.Then, Electrode Wires are attach to a machine, into the electrical impulses and to describe these functions, they are the best thought of a continuous spectrum of consciousness from slow, loud and functional –to fast, subtle, and complex. Emotions and behaviors is the communication between neurons within our brains. When lower frequencies of brainwaves are dominant we can feel tired, slow, sluggish, or dreamy. And then, higher frequencies are dominant we feel wired, or hyper-alert. The challenge of resourcing these types of medical and image processing is to describe the adoption of the open source electroencephalography. The brain activities or actions can be detected by using the Electroencephalogram (EEG) Signal waves transducer.

References

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