Gaussian Elimination-Based Novel Canonical Correlation Analysis Method for EEG Motion Artifact Removal
المؤلفون المشاركون
Shukla, Piyush Kumar
Roy, Vandana
Shukla, Shailja
Rawat, Paresh
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-10-08
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
The motion generated at the capturing time of electro-encephalography (EEG) signal leads to the artifacts, which may reduce the quality of obtained information.
Existing artifact removal methods use canonical correlation analysis (CCA) for removing artifacts along with ensemble empirical mode decomposition (EEMD) and wavelet transform (WT).
A new approach is proposed to further analyse and improve the filtering performance and reduce the filter computation time under highly noisy environment.
This new approach of CCA is based on Gaussian elimination method which is used for calculating the correlation coefficients using backslash operation and is designed for EEG signal motion artifact removal.
Gaussian elimination is used for solving linear equation to calculate Eigen values which reduces the computation cost of the CCA method.
This novel proposed method is tested against currently available artifact removal techniques using EEMD-CCA and wavelet transform.
The performance is tested on synthetic and real EEG signal data.
The proposed artifact removal technique is evaluated using efficiency matrices such as del signal to noise ratio (DSNR), lambda (λ), root mean square error (RMSE), elapsed time, and ROC parameters.
The results indicate suitablity of the proposed algorithm for use as a supplement to algorithms currently in use.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Roy, Vandana& Shukla, Shailja& Shukla, Piyush Kumar& Rawat, Paresh. 2017. Gaussian Elimination-Based Novel Canonical Correlation Analysis Method for EEG Motion Artifact Removal. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1181449
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Roy, Vandana…[et al.]. Gaussian Elimination-Based Novel Canonical Correlation Analysis Method for EEG Motion Artifact Removal. Journal of Healthcare Engineering No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1181449
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Roy, Vandana& Shukla, Shailja& Shukla, Piyush Kumar& Rawat, Paresh. Gaussian Elimination-Based Novel Canonical Correlation Analysis Method for EEG Motion Artifact Removal. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1181449
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1181449
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