An Automated Optimal Engagement and Attention Detection System Using Electrocardiogram
Joint Authors
Najarian, Kayvan
Hargraves, Rosalyn Hobson
Belle, Ashwin
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-09
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This research proposes to develop a monitoring system which uses Electrocardiograph (ECG) as a fundamental physiological signal, to analyze and predict the presence or lack of cognitive attention in individuals during a task execution.
The primary focus of this study is to identify the correlation between fluctuating level of attention and its implications on the cardiac rhythm recorded in the ECG.
Furthermore, Electroencephalograph (EEG) signals are also analyzed and classified for use as a benchmark for comparison with ECG analysis.
Several advanced signal processing techniques have been implemented and investigated to derive multiple clandestine and informative features from both these physiological signals.
Decomposition and feature extraction are done using Stockwell-transform for the ECG signal, while Discrete Wavelet Transform (DWT) is used for EEG.
These features are then applied to various machine-learning algorithms to produce classification models that are capable of differentiating between the cases of a person being attentive and a person not being attentive.
The presented results show that detection and classification of cognitive attention using ECG are fairly comparable to EEG.
American Psychological Association (APA)
Belle, Ashwin& Hargraves, Rosalyn Hobson& Najarian, Kayvan. 2012. An Automated Optimal Engagement and Attention Detection System Using Electrocardiogram. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-478935
Modern Language Association (MLA)
Belle, Ashwin…[et al.]. An Automated Optimal Engagement and Attention Detection System Using Electrocardiogram. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-478935
American Medical Association (AMA)
Belle, Ashwin& Hargraves, Rosalyn Hobson& Najarian, Kayvan. An Automated Optimal Engagement and Attention Detection System Using Electrocardiogram. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-478935
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-478935