A Removal of Eye Movement and Blink Artifacts from EEG Data Using Morphological Component Analysis
المؤلفون المشاركون
Singh, Balbir
Wagatsuma, Hiroaki
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-01-17
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
EEG signals contain a large amount of ocular artifacts with different time-frequency properties mixing together in EEGs of interest.
The artifact removal has been substantially dealt with by existing decomposition methods known as PCA and ICA based on the orthogonality of signal vectors or statistical independence of signal components.
We focused on the signal morphology and proposed a systematic decomposition method to identify the type of signal components on the basis of sparsity in the time-frequency domain based on Morphological Component Analysis (MCA), which provides a way of reconstruction that guarantees accuracy in reconstruction by using multiple bases in accordance with the concept of “dictionary.” MCA was applied to decompose the real EEG signal and clarified the best combination of dictionaries for this purpose.
In our proposed semirealistic biological signal analysis with iEEGs recorded from the brain intracranially, those signals were successfully decomposed into original types by a linear expansion of waveforms, such as redundant transforms: UDWT, DCT, LDCT, DST, and DIRAC.
Our result demonstrated that the most suitable combination for EEG data analysis was UDWT, DST, and DIRAC to represent the baseline envelope, multifrequency wave-forms, and spiking activities individually as representative types of EEG morphologies.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Singh, Balbir& Wagatsuma, Hiroaki. 2017. A Removal of Eye Movement and Blink Artifacts from EEG Data Using Morphological Component Analysis. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1141968
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Singh, Balbir& Wagatsuma, Hiroaki. A Removal of Eye Movement and Blink Artifacts from EEG Data Using Morphological Component Analysis. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-17.
https://search.emarefa.net/detail/BIM-1141968
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Singh, Balbir& Wagatsuma, Hiroaki. A Removal of Eye Movement and Blink Artifacts from EEG Data Using Morphological Component Analysis. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1141968
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1141968
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