Diagnosis of Alzheimer Disease using EEG Signals

Abstract—Abstract Alzheimer Disease is the Neuro-degenerative disease, which consists of the common form of dementia. It is the most expensive disease in the modern society & characterized by cognitive, intellectual as well as behavioral disturbance. Due to this, the early diagnosis of the disease is essential as it helps the patients & also his family to take preventive measures. EEG can be used the standardized tool for diagnosis of Alzheimer disease. Various abnormalities are found in the EEG signals of the patients suffering from Alzheimer disease. Hence, the need is to develop the detection of the disease in early stage called as Dementia, the first stage called Mild cognitive impairment (MCI). Role of EEG in diagnostic & clinical research of Alzheimer disease has become more useful in present decades. In present, the most critical task includes the diagnosis of the AD & its early detection in the preclinical stage. The need is to improve the diagnosis accuracy of the EEG signal. The paper presents the ideas of increasing the accuracy of the signal by using various methods.Basically, abnormalities in the EEG signals are characterized by slowing of signals, shift of power spectrum to low frequencies etc. In this way, EEG can be as the tool for the early diagnosis of Alzheimer disease.Keywords— Alzheimer Disease, Dementia,Electroencephalography, Mild Cognitive impairment (MCI).