Editorial: Signal Processing for Brain–Computer Interfaces—Special Issue
| aut.event.place | , Switzerland | |
| aut.relation.issue | 4 | |
| aut.relation.startpage | 1201 | |
| aut.relation.volume | 24 | |
| dc.contributor.author | Naseer, N | |
| dc.contributor.author | Niazi, IK | |
| dc.contributor.author | Santosa, H | |
| dc.date.accessioned | 2025-02-19T22:30:42Z | |
| dc.date.available | 2025-02-19T22:30:42Z | |
| dc.date.issued | 2024-02-12 | |
| dc.description.abstract | With the astounding ability to capture a wealth of brain signals, Brain-Computer Interfaces (BCIs) have the potential to revolutionize humans' quality of life [...]. | |
| dc.format.medium | Electronic | |
| dc.identifier.citation | Naseer, N., Niazi, I. K., & Santosa, H. (2024). Editorial: Signal Processing for Brain–Computer Interfaces—Special Issue. Sensors, 24(4), 1201. https://doi.org/10.3390/s24041201 | |
| dc.identifier.doi | 10.3390/s24041201 | |
| dc.identifier.issn | 1424-8220 | |
| dc.identifier.issn | 1424-8220 | |
| dc.identifier.uri | http://hdl.handle.net/10292/18720 | |
| dc.language | eng | |
| dc.publisher | MDPI AG | |
| dc.relation.uri | https://www.mdpi.com/1424-8220/24/4/1201 | |
| dc.rights | © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | |
| dc.rights.accessrights | OpenAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | 40 Engineering | |
| dc.subject | 4003 Biomedical Engineering | |
| dc.subject | Bioengineering | |
| dc.subject | Neurosciences | |
| dc.subject | Assistive Technology | |
| dc.subject | Neurological | |
| dc.subject | 0301 Analytical Chemistry | |
| dc.subject | 0502 Environmental Science and Management | |
| dc.subject | 0602 Ecology | |
| dc.subject | 0805 Distributed Computing | |
| dc.subject | 0906 Electrical and Electronic Engineering | |
| dc.subject | Analytical Chemistry | |
| dc.subject | 3103 Ecology | |
| dc.subject | 4008 Electrical engineering | |
| dc.subject | 4009 Electronics, sensors and digital hardware | |
| dc.subject | 4104 Environmental management | |
| dc.subject | 4606 Distributed computing and systems software | |
| dc.subject.mesh | Humans | |
| dc.subject.mesh | Brain-Computer Interfaces | |
| dc.subject.mesh | Electroencephalography | |
| dc.subject.mesh | Quality of Life | |
| dc.subject.mesh | Brain | |
| dc.subject.mesh | Signal Processing, Computer-Assisted | |
| dc.subject.mesh | Brain | |
| dc.subject.mesh | Humans | |
| dc.subject.mesh | Electroencephalography | |
| dc.subject.mesh | Quality of Life | |
| dc.subject.mesh | Signal Processing, Computer-Assisted | |
| dc.subject.mesh | Brain-Computer Interfaces | |
| dc.subject.mesh | Humans | |
| dc.subject.mesh | Brain-Computer Interfaces | |
| dc.subject.mesh | Electroencephalography | |
| dc.subject.mesh | Quality of Life | |
| dc.subject.mesh | Brain | |
| dc.subject.mesh | Signal Processing, Computer-Assisted | |
| dc.title | Editorial: Signal Processing for Brain–Computer Interfaces—Special Issue | |
| dc.type | Other Form of Assessable Output | |
| pubs.elements-id | 564066 |
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