Wavelet-Based Artifact Identification and Separation Technique for EEG Signals during Galvanic Vestibular Stimulation
المؤلفون المشاركون
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-09-01
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
We present a new method for removing artifacts in electroencephalography (EEG) records during Galvanic Vestibular Stimulation (GVS).
The main challenge in exploiting GVS is to understand how the stimulus acts as an input to brain.
We used EEG to monitor the brain and elicit the GVS reflexes.
However, GVS current distribution throughout the scalp generates an artifact on EEG signals.
We need to eliminate this artifact to be able to analyze the EEG signals during GVS.
We propose a novel method to estimate the contribution of the GVS current in the EEG signals at each electrode by combining time-series regression methods with wavelet decomposition methods.
We use wavelet transform to project the recorded EEG signal into various frequency bands and then estimate the GVS current distribution in each frequency band.
The proposed method was optimized using simulated signals, and its performance was compared to well-accepted artifact removal methods such as ICA-based methods and adaptive filters.
The results show that the proposed method has better performance in removing GVS artifacts, compared to the others.
Using the proposed method, a higher signal to artifact ratio of −1.625 dB was achieved, which outperformed other methods such as ICA-based methods, regression methods, and adaptive filters.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Adib, Mani& Cretu, Edmond. 2013. Wavelet-Based Artifact Identification and Separation Technique for EEG Signals during Galvanic Vestibular Stimulation. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-451182
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Adib, Mani& Cretu, Edmond. Wavelet-Based Artifact Identification and Separation Technique for EEG Signals during Galvanic Vestibular Stimulation. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-451182
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Adib, Mani& Cretu, Edmond. Wavelet-Based Artifact Identification and Separation Technique for EEG Signals during Galvanic Vestibular Stimulation. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-451182
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-451182
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