An Automated Optimal Engagement and Attention Detection System Using Electrocardiogram
المؤلفون المشاركون
Najarian, Kayvan
Hargraves, Rosalyn Hobson
Belle, Ashwin
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-08-09
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-478935
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر