Detecting the Intention to Move Upper Limbs from Electroencephalographic Brain Signals
المؤلفون المشاركون
Gudiño-Mendoza, Berenice
Sanchez-Ante, Gildardo
Antelis, Javier M.
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-04-27
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Early decoding of motor states directly from the brain activity is essential to develop brain-machine interfaces (BMI) for natural motor control of neuroprosthetic devices.
Hence, this study aimed to investigate the detection of movement information before the actual movement occurs.
This information piece could be useful to provide early control signals to drive BMI-based rehabilitation and motor assisted devices, thus providing a natural and active rehabilitation therapy.
In this work, electroencephalographic (EEG) brain signals from six healthy right-handed participants were recorded during self-initiated reaching movements of the upper limbs.
The analysis of these EEG traces showed that significant event-related desynchronization is present before and during the execution of the movements, predominantly in the motor-related α and β frequency bands and in electrodes placed above the motor cortex.
This oscillatory brain activity was used to continuously detect the intention to move the limbs, that is, to identify the motor phase prior to the actual execution of the reaching movement.
The results showed, first, significant classification between relax and movement intention and, second, significant detection of movement intention prior to the onset of the executed movement.
On the basis of these results, detection of movement intention could be used in BMI settings to reduce the gap between mental motor processes and the actual movement performed by an assisted or rehabilitation robotic device.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Gudiño-Mendoza, Berenice& Sanchez-Ante, Gildardo& Antelis, Javier M.. 2016. Detecting the Intention to Move Upper Limbs from Electroencephalographic Brain Signals. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1100105
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Gudiño-Mendoza, Berenice…[et al.]. Detecting the Intention to Move Upper Limbs from Electroencephalographic Brain Signals. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1100105
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Gudiño-Mendoza, Berenice& Sanchez-Ante, Gildardo& Antelis, Javier M.. Detecting the Intention to Move Upper Limbs from Electroencephalographic Brain Signals. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1100105
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1100105
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