مؤتمر
Metrological performance of a single-channel brain-computer interface based on motor imagery
| العنوان: | Metrological performance of a single-channel brain-computer interface based on motor imagery |
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| المؤلفون: | L. Angrisani, P. Arpaia, F. Donnarumma, A. Esposito, Moccaldi, Nicola, M. Parvis |
| المساهمون: | Angrisani, L., Arpaia, P., Donnarumma, F., Esposito, A., Moccaldi, Nicola, Parvis, M. |
| بيانات النشر: | Institute of Electrical and Electronics Engineers Inc. USA New York |
| سنة النشر: | 2019 |
| المجموعة: | IRIS Università degli Studi di Napoli Federico II |
| مصطلحات موضوعية: | Brain-computer interfaces, Classification accuracy, Feature extraction, Motor imagery |
| الوصف: | In this paper, the accuracy in classifying Motor Imagery (MI) tasks for a Brain-Computer Interface (BCI) is analyzed. Electroencephalographic (EEG) signals were taken into account, notably by employing one channel per time. Four classes were to distinguish, i.e. imagining the movement of left hand, right hand, feet, or tongue. The dataset '2a' of BCI Competition IV (2008) was considered. Brain signals were processed by applying a short-time Fourier transform, a common spatial pattern filter for feature extraction, and a support vector machine for classification. With this work, the aim is to give a contribution to the development of wearable MI-based BCIs by relying on single channel EEG. |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| العلاقة: | info:eu-repo/semantics/altIdentifier/isbn/978-153863460-8; info:eu-repo/semantics/altIdentifier/wos/WOS:000568630900228; ispartofbook:Conference Record - IEEE Instrumentation and Measurement Technology Conference; 2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019; volume:Volume 2019-May; numberofpages:5; http://hdl.handle.net/11588/767993Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85072846630 |
| DOI: | 10.1109/I2MTC.2019.8827168 |
| الإتاحة: | https://doi.org/10.1109/I2MTC.2019.8827168Test http://hdl.handle.net/11588/767993Test |
| رقم الانضمام: | edsbas.4000424D |
| قاعدة البيانات: | BASE |
| DOI: | 10.1109/I2MTC.2019.8827168 |
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