EEG Classification of Mild and Severe Alzheimer's Disease Using Parallel Factor Analysis Method

2009 ◽  
pp. 705-715 ◽  
Author(s):  
Charles-Francois Vincent Latchoumane ◽  
Francois-Benois Vialatte ◽  
Jaeseung Jeong ◽  
Andrzej Cichocki
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Factor Analysis ◽  
Parallel Factor Analysis ◽  
Analysis Method ◽  
Eeg Classification ◽  
Parallel Factor

Parallel Factor Analysis for Gas Sensor Array Signals

2014 ◽  
Vol 494-495 ◽  
pp. 955-959 ◽  
Author(s):  
Wen Na Zhang ◽  
Guo Jun Qin ◽  
Niao Qing Hu
Keyword(s):  
Factor Analysis ◽  
Gas Sensor ◽  
Sensor Array ◽  
Parallel Factor Analysis ◽  
Time Profile ◽  
Three Dimension ◽  
Gas Sensor Array ◽  
Parallel Factor ◽  
Sample Time

Data from sensor array are often arranged in three-dimension as sample × time × sensor. Traditional methods are mainly used for two-dimension data. When such methods are applied, some time-profile information will lost. To acquire the information of samples, sensors and times more exactly, parallel factor analysis (PARAFAC) is investigated to deal with three-way data array. Through the analysis and classification of three kinds of oil odor samples, the performance of PARAFAC in gas sensor array signal analysis is verified and validated.

Factor structure of the CERAD neuropsychological battery

2004 ◽  
Vol 10 (4) ◽  
pp. 559-565 ◽  
Author(s):  
MILTON E. STRAUSS ◽  
THOMAS FRITSCH
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Factor Analysis ◽  
Quantitative Methods ◽  
Common Factor ◽  
Principal Factor ◽  
Analysis Method ◽  
Neuropsychological Battery ◽  
Number Of Factors

The Consortium to Establish a Registry for Alzheimer's Disease (CERAD) neuropsychological battery was developed to evaluate cognitive impairments associated with Alzheimer's disease (AD). Previous studies have suggested that the battery is multi-dimensional, represented by either 3 or 5 dimensions. In this study a principal factor analysis was conducted using contemporary quantitative methods for determining the number of factors. Exploratory factor analysis of the CERAD battery and MMSE was conducted using one-half of the CERAD database (total N = 969). Glorfeld's modification of Horn's parallel analysis method suggested that there was 1 common factor in the variable matrix. Characterization of patterns of deficits in AD requires supplementation of measures derived from the CERAD and MMSE with other tests. (JINS, 2004, 10, 559–565.)

Topic coherence analysis for the classification of Alzheimer's disease

2018 ◽  
Author(s):  
Anna Pompili ◽  
Alberto Abad ◽  
David Martins de Matos ◽  
Isabel Pavão Martins
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Coherence Analysis
Sign in / Sign up

Export Citation Format

Share Document