脑电图
计算机科学
癫痫
神经科学
头皮
大脑活动与冥想
信号(编程语言)
医学
心理学
解剖
程序设计语言
作者
Seema Nara,Poonam Sheoran
出处
期刊:International Journal of Medical Engineering and Informatics
[Inderscience Enterprises Ltd.]
日期:2018-01-01
卷期号:10 (1): 30-30
被引量:2
标识
DOI:10.1504/ijmei.2018.090077
摘要
Electroencephalogram (EEG) signals represent the neuronal activity of brain. These signals are recorded by placement of multiple electrodes over the scalp or from cortex of the brain under the skull. These signals have important applications in biomedical and clinical field but most applications fail to take benefit of all the data's available from the information, particularly about the location of dynamic sources in the brain. Localisation of sources of brain signal is important for the study of brain physiological, mental, pathological, and functional abnormalities, and problems related to various body disabilities. Their ultimate aim is to specify the sources of abnormalities such as tumours and epilepsy. This paper provides comprehensive overview of the different traditional and latest methods used for the EEG source localisation.
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