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ELECTROENCEPHALOGRAPH SIGNAL CLASSIFICATION FOR DIFFERENT WAVE DIAGNOSIS

IT Skills Show & International Conference on Advancements in Computing Resources, (SSICACR-2017) 15 and 16 February 2017, Alagappa University, Karaikudi, Tamil Nadu, India. International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

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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.

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  • 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
  • Page No 1536-1540

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