Evaluation of EEG Features in Decoding Individual Finger Movements from One Hand
نویسندگان
چکیده
منابع مشابه
Evaluation of EEG Features in Decoding Individual Finger Movements from One Hand
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 featur...
متن کاملDecoding Individual Finger Movements from One Hand Using Human EEG Signals
Brain computer interface (BCI) is an assistive technology, which decodes neurophysiological signals generated by the human brain and translates them into control signals to control external devices, e.g., wheelchairs. One problem challenging noninvasive BCI technologies is the limited control dimensions from decoding movements of, mainly, large body parts, e.g., upper and lower limbs. It has be...
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It is crucial to understand what brain signals can be decoded from single trials with different recording techniques for the development of Brain-Machine Interfaces. A specific challenge for non-invasive recording methods are activations confined to small spatial areas on the cortex such as the finger representation of one hand. Here we study the information content of single trial brain activi...
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Brain-Machine interfaces and neural prosthesis use the electrical activity generated by cortical neurons in the brain for controlling external devices such as robotic arms. While many research is based on the invasive recording of the brain electrical activity, very few studies have addressed the possibility of generating the control from non-invasive measurements. In this work we study the 3D ...
متن کاملEEG resolutions in detecting and decoding finger movements from spectral analysis
Mu/beta rhythms are well-studied brain activities that originate from sensorimotor cortices. These rhythms reveal spectral changes in alpha and beta bands induced by movements of different body parts, e.g., hands and limbs, in electroencephalography (EEG) signals. However, less can be revealed in them about movements of different fine body parts that activate adjacent brain regions, such as ind...
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ژورنال
عنوان ژورنال: Computational and Mathematical Methods in Medicine
سال: 2013
ISSN: 1748-670X,1748-6718
DOI: 10.1155/2013/243257