Upper limb movements can be decoded from the time-domain of low-frequency EEG.
How neural correlates of movements are represented in the human brain is of ongoing interest and has been researched with invasive and non-invasive methods. In this study, we analyzed the encoding of single upper limb movements in the time-domain of low-frequency electroencephalography (EEG) signals...
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Public Library of Science (PLoS)
2017-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0182578&type=printable |
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| author | Patrick Ofner Andreas Schwarz Joana Pereira Gernot R Müller-Putz |
| author_facet | Patrick Ofner Andreas Schwarz Joana Pereira Gernot R Müller-Putz |
| author_sort | Patrick Ofner |
| collection | DOAJ |
| description | How neural correlates of movements are represented in the human brain is of ongoing interest and has been researched with invasive and non-invasive methods. In this study, we analyzed the encoding of single upper limb movements in the time-domain of low-frequency electroencephalography (EEG) signals. Fifteen healthy subjects executed and imagined six different sustained upper limb movements. We classified these six movements and a rest class and obtained significant average classification accuracies of 55% (movement vs movement) and 87% (movement vs rest) for executed movements, and 27% and 73%, respectively, for imagined movements. Furthermore, we analyzed the classifier patterns in the source space and located the brain areas conveying discriminative movement information. The classifier patterns indicate that mainly premotor areas, primary motor cortex, somatosensory cortex and posterior parietal cortex convey discriminative movement information. The decoding of single upper limb movements is specially interesting in the context of a more natural non-invasive control of e.g., a motor neuroprosthesis or a robotic arm in highly motor disabled persons. |
| format | Article |
| id | doaj-art-da297b5a4dfd4f49bd6a73b4a4f963a3 |
| institution | DOAJ |
| issn | 1932-6203 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-da297b5a4dfd4f49bd6a73b4a4f963a32025-08-20T03:04:38ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01128e018257810.1371/journal.pone.0182578Upper limb movements can be decoded from the time-domain of low-frequency EEG.Patrick OfnerAndreas SchwarzJoana PereiraGernot R Müller-PutzHow neural correlates of movements are represented in the human brain is of ongoing interest and has been researched with invasive and non-invasive methods. In this study, we analyzed the encoding of single upper limb movements in the time-domain of low-frequency electroencephalography (EEG) signals. Fifteen healthy subjects executed and imagined six different sustained upper limb movements. We classified these six movements and a rest class and obtained significant average classification accuracies of 55% (movement vs movement) and 87% (movement vs rest) for executed movements, and 27% and 73%, respectively, for imagined movements. Furthermore, we analyzed the classifier patterns in the source space and located the brain areas conveying discriminative movement information. The classifier patterns indicate that mainly premotor areas, primary motor cortex, somatosensory cortex and posterior parietal cortex convey discriminative movement information. The decoding of single upper limb movements is specially interesting in the context of a more natural non-invasive control of e.g., a motor neuroprosthesis or a robotic arm in highly motor disabled persons.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0182578&type=printable |
| spellingShingle | Patrick Ofner Andreas Schwarz Joana Pereira Gernot R Müller-Putz Upper limb movements can be decoded from the time-domain of low-frequency EEG. PLoS ONE |
| title | Upper limb movements can be decoded from the time-domain of low-frequency EEG. |
| title_full | Upper limb movements can be decoded from the time-domain of low-frequency EEG. |
| title_fullStr | Upper limb movements can be decoded from the time-domain of low-frequency EEG. |
| title_full_unstemmed | Upper limb movements can be decoded from the time-domain of low-frequency EEG. |
| title_short | Upper limb movements can be decoded from the time-domain of low-frequency EEG. |
| title_sort | upper limb movements can be decoded from the time domain of low frequency eeg |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0182578&type=printable |
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