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Decoding Motor Imagery through Common Spatial Pattern Filters at the EEG Source Space
المؤلفون المشاركون
Athanasiou, Alkinoos
Kugiumtzis, Dimitris
Pandria, Niki
Xygonakis, Ioannis
Bamidis, Panagiotis D.
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-08-01
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Brain-Computer Interface (BCI) is a rapidly developing technology that aims to support individuals suffering from various disabilities and, ultimately, improve everyday quality of life.
Sensorimotor rhythm-based BCIs have demonstrated remarkable results in controlling virtual or physical external devices but they still face a number of challenges and limitations.
Main challenges include multiple degrees-of-freedom control, accuracy, and robustness.
In this work, we develop a multiclass BCI decoding algorithm that uses electroencephalography (EEG) source imaging, a technique that maps scalp potentials to cortical activations, to compensate for low spatial resolution of EEG.
Spatial features were extracted using Common Spatial Pattern (CSP) filters in the cortical source space from a number of selected Regions of Interest (ROIs).
Classification was performed through an ensemble model, based on individual ROI classification models.
The evaluation was performed on the BCI Competition IV dataset 2a, which features 4 motor imagery classes from 9 participants.
Our results revealed a mean accuracy increase of 5.6% with respect to the conventional application method of CSP on sensors.
Neuroanatomical constraints and prior neurophysiological knowledge play an important role in developing source space-based BCI algorithms.
Feature selection and classifier characteristics of our implementation will be explored to raise performance to current state-of-the-art.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xygonakis, Ioannis& Athanasiou, Alkinoos& Pandria, Niki& Kugiumtzis, Dimitris& Bamidis, Panagiotis D.. 2018. Decoding Motor Imagery through Common Spatial Pattern Filters at the EEG Source Space. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1130840
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xygonakis, Ioannis…[et al.]. Decoding Motor Imagery through Common Spatial Pattern Filters at the EEG Source Space. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1130840
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xygonakis, Ioannis& Athanasiou, Alkinoos& Pandria, Niki& Kugiumtzis, Dimitris& Bamidis, Panagiotis D.. Decoding Motor Imagery through Common Spatial Pattern Filters at the EEG Source Space. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1130840
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1130840
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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