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Detecting the Intention to Move Upper Limbs from Electroencephalographic Brain Signals
Joint Authors
Gudiño-Mendoza, Berenice
Sanchez-Ante, Gildardo
Antelis, Javier M.
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-27
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100105