NDLI: ERP based decision fusion for AD diagnosis across cohorts

Content Provider	IEEE Xplore Digital Library
Author	Ahiskali, M. Green, D. Kounios, J. Clark, C.M. Polikar, R.
Copyright Year	2009
Description	Author affiliation: Dept. of Psychology, Drexel University, Philadelphia, PA ¿Contact author: Robi Polikar (Green, D.; Kounios, J.) \|\| Signal Processing and Pattern Recognition Laboratory, Dept. of Electrical and Computer Eng. at Rowan University, Glassboro, NJ 08028, USA (Ahiskali, M.; Polikar, R.) \|\| Department of Neurology, University of Pennsylvania, Philadelphia, PA (Clark, C.M.)
Abstract	As the average life expectancy increases, particularly in developing countries, prevalence of neurodegenerative diseases has also increased. This trend is especially alarming for Alzheimer's disease (AD); as there is no cure to stop or reverse the effects of AD. However, recent pharmacological advances can slow the progression of AD, but only if AD is diagnosed at early stages. We have previously introduced an ensemble of classifiers based approach for combining event related potentials obtained from different electrode locations as an effective approach for early diagnosis of AD. We further expand this approach and analyze its robustness and stability in two ways: comparing the diagnostic accuracy on hand selected and cleaned data vs. standard automated preprocessing, but more importantly, comparing the diagnostic accuracy on two different cohorts, whose data are collected under different settings: a research university lab and a community clinic.
Starting Page	2494
Ending Page	2497
File Size	838458
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5335141
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Enterprise resource planning Proteins Biomedical signal processing Hospitals Alzheimer's disease Electrodes Robust stability Medical diagnostic imaging Biomarkers Electroencephalography
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Robust single-trial ERP estimation based on spatiotemporal filtering

On Correlation Between Single-Trial ERP and GSR Responses: a Principal Component Regression Approach

Combining multichannel ERP data for early diagnosis of Alzheimer's Disease

Boosting Linear Logistic Regression for Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks

Spatial-Temporal Analysis of Face Processing Using an ERP Study of the Thatcher Illusion

Stacked Generalization for Early Diagnosis of Alzheimer's Disease

Phase space analysis of Event Related Potential during episodic memory retrieval

Multimodal EEG, MRI and PET data fusion for Alzheimer's disease diagnosis

Detecting complexity abnormalities in dyslexia measuring approximate entropy of electroencephalographic signals

ERP based decision fusion for AD diagnosis across cohorts

Similar Documents

Robust single-trial ERP estimation based on spatiotemporal filtering

On Correlation Between Single-Trial ERP and GSR Responses: a Principal Component Regression Approach

Combining multichannel ERP data for early diagnosis of Alzheimer's Disease

Boosting Linear Logistic Regression for Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks

Spatial-Temporal Analysis of Face Processing Using an ERP Study of the Thatcher Illusion

Stacked Generalization for Early Diagnosis of Alzheimer's Disease

Phase space analysis of Event Related Potential during episodic memory retrieval

Multimodal EEG, MRI and PET data fusion for Alzheimer's disease diagnosis

Detecting complexity abnormalities in dyslexia measuring approximate entropy of electroencephalographic signals

ERP based decision fusion for AD diagnosis across cohorts