Evaluation of EEG Features in Decoding Individual Finger Movements from One Hand
المؤلفون المشاركون
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-04-24
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
With the advancements in modern signal processing techniques, the field of brain-computer interface (BCI) is progressing fast towards noninvasiveness.
One challenge still impeding these developments is the limited number of features, especially movement-related features, available to generate control signals for noninvasive BCIs.
A few recent studies investigated several movement-related features, such as spectral features in electrocorticography (ECoG) data obtained through a spectral principal component analysis (PCA) and direct use of EEG temporal data, and demonstrated the decoding of individual fingers.
The present paper evaluated multiple movement-related features under the same task, that is, discriminating individual fingers from one hand using noninvasive EEG.
The present results demonstrate the existence of a broadband feature in EEG to discriminate individual fingers, which has only been identified previously in ECoG.
It further shows that multiple spectral features obtained from the spectral PCA yield an average decoding accuracy of 45.2%, which is significantly higher than the guess level (P<0.05) and other features investigated (P<0.05), including EEG spectral power changes in alpha and beta bands and EEG temporal data.
The decoding of individual fingers using noninvasive EEG is promising to improve number of features for control, which can facilitate the development of noninvasive BCI applications with rich complexity.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xiao, Ran& Ding, Lei. 2013. Evaluation of EEG Features in Decoding Individual Finger Movements from One Hand. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-456783
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xiao, Ran& Ding, Lei. Evaluation of EEG Features in Decoding Individual Finger Movements from One Hand. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-456783
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xiao, Ran& Ding, Lei. Evaluation of EEG Features in Decoding Individual Finger Movements from One Hand. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-456783
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-456783
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