脑电图
警觉
波形
听力学
头皮
同步脑电与功能磁共振
信号(编程语言)
神经科学
振幅
大脑活动与冥想
心理学
模式识别(心理学)
计算机科学
医学
人工智能
物理
解剖
精神科
程序设计语言
电信
雷达
量子力学
作者
John William Carey Medithe,Usha Rani Nelakuditi
标识
DOI:10.1109/icaccs.2016.7586341
摘要
Electroencephalogram (EEG) is the most efficient medical imaging tool to analyze and interpret the characteristics of the brain disorder which helps the physician to diagnose the brain disorder patient. EEG signal is a representation of electrical activity over the surface of the brain with respect to time, this electrical activity is caused by the firing of neurons. If these neurons fire in anomalous manner, results in sudden impulses which can be stated as Seizures. If this unusual firing of nerve cells occurs in severe, may result in a shake and loss of control in the subject sometime. EEG waveform information about frequency, amplitude and shape are entirely dependent on the subjects age, state of alertness and location on scalp where the EEG is drawn with electrodes. An EEG waveform is said to be abnormal when the EEG waveform exhibits unusual characteristics which does not match to the subject's state of alertness, age and other factors. In this article it is to study the different types of EEG waveforms both in the case of normal and abnormal and further concentrated on the abnormalities both in the foam of Epileptical and Non-Epileptical. These abnormalities are internally classified as focal and generalized seizures. The comparable tabular form is given to the each type of EEG waveform based on their characteristics.
科研通智能强力驱动
Strongly Powered by AbleSci AI