EEG Signal Analysis for Mild Alzheimer’s Disease Diagnosis by Means of Spectral- and Complexity-Based Features and Machine Learning Techniques

2018 ◽  
pp. 395-403
Author(s):  
Nilesh Kulkarni
Keyword(s):  
Machine Learning ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Signal Analysis ◽  
Disease Diagnosis ◽  
Machine Learning Techniques ◽  
Eeg Signal ◽  
Learning Techniques ◽  
Alzheimer’S Disease Diagnosis ◽  
Eeg Signal Analysis

Improving Alzheimer's Disease Diagnosis with Machine Learning Techniques

2011 ◽  
Vol 42 (3) ◽  
pp. 160-165 ◽  
Author(s):  
Lucas R. Trambaiolli ◽  
Ana C. Lorena ◽  
Francisco J. Fraga ◽  
Paulo A.M. Kanda ◽  
Renato Anghinah ◽  
...  
Keyword(s):  
Machine Learning ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Disease Diagnosis ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
Alzheimer’S Disease Diagnosis

EEG Signal Analysis Using Machine Learning Techniques

2020 ◽  
Vol 12 (05-SPECIAL ISSUE) ◽  
pp. 207-214
Author(s):  
P. Hari Prasad ◽  
Anurathi Bala ◽  
N.S. Jai Aakash ◽  
Ganesan M ◽  
Venithraa G ◽  
...  
Keyword(s):  
Machine Learning ◽  
Signal Analysis ◽  
Machine Learning Techniques ◽  
Eeg Signal ◽  
Learning Techniques ◽  
Eeg Signal Analysis

Machine Learning Techniques for the Diagnosis of Alzheimer’s Disease

2020 ◽  
Vol 16 (1s) ◽  
pp. 1-35 ◽  
Author(s):  
M. Tanveer ◽  
B. Richhariya ◽  
R. U. Khan ◽  
A. H. Rashid ◽  
P. Khanna ◽  
...  
Keyword(s):  
Machine Learning ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Machine Learning Techniques ◽  
Learning Techniques

Neuro-Imaging Machine Learning Techniques for Alzheimer's Disease Diagnosis

2021 ◽  
pp. 191-209
Author(s):  
Gehad Ismail Sayed ◽  
Aboul Ella Hassanien
Keyword(s):  
Machine Learning ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Disease Diagnosis ◽  
Machine Learning Techniques ◽  
Bench Mark ◽  
Learning Tools ◽  
Diagnosis System ◽  
Neuro Imaging ◽  
Medical Imagining

Alzheimer's disease (AD) is considered one of the most common dementia's forms affecting senior's age staring from 65 and over. The standard method for identifying AD are usually based on behavioral, neuropsychological and cognitive tests and sometimes followed by a brain scan. Advanced medical imagining modalities such as MRI and pattern recognition techniques are became good tools for predicting AD. In this chapter, an automatic AD diagnosis system from MRI images based on using machine learning tools is proposed. A bench mark dataset is used to evaluate the performance of the proposed system. The adopted dataset consists of 20 patients for each diagnosis case including cognitive impairment, Alzheimer's disease and normal. Several evaluation measurements are used to evaluate the robustness of the proposed diagnosis system. The experimental results reveal the good performance of the proposed system.

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