A dry electrode based headband voice brain-computer interface device

2013 ◽  
Author(s):  
Yaqi Yan ◽  
Nan Mu ◽  
Difei Duan ◽  
Linguo Dong ◽  
Xiaoying Tang ◽  
...  
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Dry Electrode ◽  
Interface Device

Processing and Analysis of EEG Signals Related to Short Time Memory Using a Brain-Computer Interface Device

2016 ◽  
Vol 11 (2) ◽  
pp. 223
Author(s):  
Dario Amaya ◽  
Miryam Villamil ◽  
Sara Segura ◽  
Diana Gutierrez
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Eeg Signals ◽  
Short Time ◽  
Interface Device

A Novel Dry Electrode for Brain-Computer Interface

2009 ◽  
pp. 623-631 ◽  
Author(s):  
Eric W. Sellers ◽  
Peter Turner ◽  
William A. Sarnacki ◽  
Tobin McManus ◽  
Theresa M. Vaughan ◽  
...  
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Dry Electrode

scholarly journals Fully Open-Access Passive Dry Electrodes BIOADC: Open-Electroencephalography (EEG) Re-Invented

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 772 ◽  
Author(s):  
Gaetano Gargiulo ◽  
Paolo Bifulco ◽  
Mario Cesarelli ◽  
Alistair McEwan ◽  
Armin Nikpour ◽  
...  
Keyword(s):  
Brain Computer Interface ◽  
Computer Interface ◽  
Alpha Wave ◽  
Bill Of Materials ◽  
Dry Electrodes ◽  
Dry Electrode ◽  
And Performance ◽  
Volunteer Participant ◽  
Analogue To Digital ◽  
The Brain

The Open-electroencephalography (EEG) framework is a popular platform to enable EEG measurements and general purposes Brain Computer Interface experimentations. However, the current platform is limited by the number of available channels and electrode compatibility. In this paper we present a fully configurable platform with up to 32 EEG channels and compatibility with virtually any kind of passive electrodes including textile, rubber and contactless electrodes. Together with the full hardware details, results and performance on a single volunteer participant (limited to alpha wave elicitation), we present the brain computer interface (BCI)2000 EEG source driver together with source code as well as the compiled (.exe). In addition, all the necessary device firmware, gerbers and bill of materials for the full reproducibility of the presented hardware is included. Furthermore, the end user can vary the dry-electrode reference circuitry, circuit bandwidth as well as sample rate to adapt the device to other generalized biopotential measurements. Although, not implemented in the tested prototype, the Biomedical Analogue to Digital Converter BIOADC naturally supports SPI communication for an additional 32 channels including the gain controller. In the appendix we describe the necessary modification to the presented hardware to enable this function.

scholarly journals Changes in functional connectivity correlate with behavioral gains in stroke patients after therapy using a brain-computer interface device

2014 ◽  
Vol 7 ◽  
Author(s):  
Brittany Mei Young ◽  
Zack Nigogosyan ◽  
Alexander Remsik ◽  
Léo M. Walton ◽  
Jie Song ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Stroke Patients ◽  
Interface Device
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