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Defining brain–machine interface applications by matching interface performance with device requirements

Oliver Tonet, Martina Marinelli, Luca Citi, Paolo Maria Rossini, Luca Rossini, Giuseppe Megali, Paolo Dario
2008 Journal of Neuroscience Methods  
Robotic arms, which have been controlled by means of cortical invasive interfaces in animal studies, could be the next frontier for non-invasive BMIs.  ...  Brainmachine interfaces (BMIs) are a particular class of HMIs and have so far been studied as a communication means for people who have little or no voluntary control of muscle activity.  ...  Space Agency) in the frame of the Ariadna study no. 05/6402 (Non invasive brain-machine interfaces).  ... 
doi:10.1016/j.jneumeth.2007.03.015 pmid:17499364 fatcat:5lwlfllcavgczmsrfwgccggboy

The brain–computer interface cycle

Marcel van Gerven, Jason Farquhar, Rebecca Schaefer, Rutger Vlek, Jeroen Geuze, Anton Nijholt, Nick Ramsey, Pim Haselager, Louis Vuurpijl, Stan Gielen, Peter Desain
2009 Journal of Neural Engineering  
of feedback on brain activity.  ...  Brain-computer interfaces (BCIs) have attracted much attention recently, triggered by new scientific progress in understanding brain function and by impressive applications.  ...  Acknowledgments The authors gratefully acknowledge the support of the BrainGain Smart Mix Programme of the Netherlands Ministry of Economic Affairs and the Netherlands Ministry of Education, Culture and  ... 
doi:10.1088/1741-2560/6/4/041001 pmid:19622847 fatcat:772bjatjxvbs7oxlkbpyvsn7be

Brain-Computer-Interface: A Conceptual Working Approaches For Neurotechnology

Brijesh K. Soni*, Deepak Mishra
2016 Zenodo  
This article addresses to the core part of a neurotechnology known as Brain-Computer-Interface and abbreviated as BCI. It is most growing research area in this era for neurotechnologists.  ...  However working functionality varies according to its interfacing technique used as invasive-interface, semi-invasive-interface, and non-invasive-interface.  ...  Brain-Computer-Interface provides a communication pathway between brain and computerized devices, without using any peripheral neuromuscular pathways.  ... 
doi:10.5281/zenodo.58280 fatcat:urbp46kwvze75pvdz5trrqjrte

Neuroimaging Techniques for Brain Computer Interface

Prabhpreet Kaur Bhatia, Anurag Sharma, Sanmati Kumar
2015 International Journal of Bio-Science and Bio-Technology  
The study of brain activities precisely is an important step in BCI system. Many invasive and non-invasive neuro-imaging techniques are being conducted.  ...  Brain-computer interface (BCI) is combination of hardware and software systems that allows the severely or partially disabled persons to communicate with their surroundings.  ...  Introduction Brain-computer interface (BCI) is an emerging technology which has astounded the world with its results.  ... 
doi:10.14257/ijbsbt.2015.7.4.21 fatcat:5whgvcsu6baqbp5obqfzuraq2y

Brain–machine interfaces: past, present and future

Mikhail A. Lebedev, Miguel A.L. Nicolelis
2006 Trends in Neurosciences  
Figure 1 depicts a classification of the BMIs (or brain-computer interfaces, BCIs) developed during the past decade.  ...  Review TRENDS in Neurosciences Vol. 29 No.9 Figure 1 . 1 Classification of brain-machine interfaces.  ... 
doi:10.1016/j.tins.2006.07.004 pmid:16859758 fatcat:xkovigv5qvdvddqwnadvnztdnm

Brain Computer Interfaces, a Review

Luis Fernando Nicolas-Alonso, Jaime Gomez-Gil
2012 Sensors  
A brain-computer interface (BCI) is a hardware and software communications system that permits cerebral activity alone to control computers or external devices.  ...  First, the review examines the neuroimaging modalities used in the signal acquisition step, each of which monitors a different functional brain activity such as electrical, magnetic or metabolic activity  ...  Acknowledgements This work was partially supported by the regional 2010 Research Project Plan of the Junta de Castilla y León, (Spain), under project VA034A10-2.  ... 
doi:10.3390/s120201211 pmid:22438708 pmcid:PMC3304110 fatcat:rinslsoovba4hizv3ugwdy6g2e

Brain-machine interfaces: an overview

Mikhail Lebedev
2014 Translational Neuroscience  
BMIs have a broad range of clinical goals, as well as the goal to enhance normal brain functions.  ...  Invasive BMIs hold promise to improve the bandwidth by utilizing multichannel recordings from ensembles of brain neurons.  ...  Brain-machine interface (BMI) for reaching and grasping by a robotic arm.  ... 
doi:10.2478/s13380-014-0212-z fatcat:7gqv37xlzfbqtobakl2htxqxzi

Brain computer interfacing: Applications and challenges

Sarah N. Abdulkader, Ayman Atia, Mostafa-Sami M. Mostafa
2015 Egyptian Informatics Journal  
Brain computer interface technology represents a highly growing field of research with application systems.  ...  We also discuss major usability and technical challenges that face brain signals utilization in various components of BCI system.  ...  Cortical surface Intracortical EEG MEG fMRI fNIRS Invasiveness and medical issues Invasive Invasive Non-invasive Non-invasive Non-invasive Non-invasive Spatial resolution High Very high  ... 
doi:10.1016/j.eij.2015.06.002 fatcat:iiopgu4eqfekrc6ombyjy6sk2y

Approaches to EEG-based Brain-Computer Interfaces: A Survey

Rafael Gallardo García, Beatríz Beltrán Martínez, Darnes Vilariño Ayala, Rodolfo Martínez, Meliza Contreras González
2020 Research on computing science  
This survey presents a new classification of the state of the art approaches to electroencephalography-based brain-computer interfaces, resulting in twelve EEG-based BCI paradigms.  ...  In order to clarify the similarities and differences of the analyzed approaches and systems, two comparative tables are presented, one for the paradigms and one for the recording systems.  ...  The purpose of this survey is to analyze the different approaches reported in the state-of-the-art brain-computer interfaces, as well as present an updated classification of these approaches, this work  ... 
dblp:journals/rcs/GarciaMAMG20 fatcat:gxi6gsdr4rej5k6wzhiobwsob4

A Complete Review of Brain Computer Interface

Sushmitha N, Dr Sudarshan. B. G, Dr Ramakanth Kumar P
2022 Zenodo  
The technology of Brain Computer Interface (BCI) is a rapidly growing research field with vast applications. BCI acts as a bridge between a human brain and the machine-like computer.  ...  The main purpose of BCI system is to enable the people with disability to interact with outside world. The electrical signals captured from the brain are processed to remove the noise and artifacts.  ...  Partially Invasive Brain Computer Interfaces This is also called as non-invasive BCI.  ... 
doi:10.5281/zenodo.6457523 fatcat:gz2mwjxmtjddlkfqxvjq5tnjjm

Brain Computer Interface with Wavelets and Genetic Algorithms [chapter]

Abdolreza Asadi, Mir Mohsen, Ali Ahmadi, Hamidreza Navidi, Ali Broumandni
2012 Wavelet Transforms and Their Recent Applications in Biology and Geoscience  
and commands to the external world -a brain-computer interface (BCI).  ...  Our BCI system: Brain computer interface with wavelets genetic algorithms 2.1 Materials and methods In this research, EEG signal used as the basic data for classification.  ...  Brain Computer Interface with Wavelets and Genetic Algorithms, Wavelet Transforms and Their Recent Applications in Biology and Geoscience, Dr.  ... 
doi:10.5772/37289 fatcat:6dhgl3gycncpzfz4xa2oc3vfjq

The Layer 7 Cortical Interface: A Scalable and Minimally Invasive Brain-Computer Interface Platform [article]

Elton Ho, Mark Hettick, Demetrios Papageorgiou, Adam J Poole, Manuel Monge, Maria Vomero, Kate R Gelman, Timothy Hanson, Vanessa Tolosa, Michael Mager, Benjamin I Rapoport
2022 bioRxiv   pre-print
Existing brain-computer interfaces rely on invasive surgical procedures or brain-penetrating electrodes, which limit addressable applications of the technology and the number of eligible patients.  ...  Progress toward the development of brain-computer interfaces has signaled the potential to restore, replace, or augment lost or impaired neurological function in a variety of disease states.  ...  Acknowledgments The authors gratefully acknowledge the assistance of Craig H. Mermel, Jason L. Chen, Jonathan Steinberger, and Rony Abovitz for critical review of this manuscript.  ... 
doi:10.1101/2022.01.02.474656 fatcat:jmqgay4ffzgu3jmy6njjjnev5u

Brain–computer interfaces for speech communication

Jonathan S. Brumberg, Alfonso Nieto-Castanon, Philip R. Kennedy, Frank H. Guenther
2010 Speech Communication  
We present a novel approach to the problem of silent speech via an intracortical microelectrode brain computer interface (BCI) to predict intended speech information directly from the activity of neurons  ...  The success of this initial trial validates the potential of the intracortical microelectrode-based approach for providing a speech prosthesis that can allow much more rapid communication rates.  ...  The authors thank the participant and his family for their dedication to this research project, Rob Law and Misha Panko for their assistance with the preparation of this manuscript and Tanja Schultz for  ... 
doi:10.1016/j.specom.2010.01.001 pmid:20204164 pmcid:PMC2829990 fatcat:56hjyljvazgu7ki2vznloq75jq

17 Error-Related EEG Potentials in Brain-Computer Interfaces [chapter]

2007 Toward Brain-Computer Interfacing  
Acknowledgements Acknowledgements are surely not the easiest part of a Ph.D. thesis to write, but they are defi-  ...  A non-invasive brain-computer interface (BCI) is a system capable of translating the intention of a subject, as represented by his brain waves (EEG), into a control signal without using activity of any  ...  Figure 1 . 1 : 11 Non-invasive brain-computer interface (BCI). Figure 1 . 2 : 12 Concept of the use of ErrP in a BCI. Figure 2 . 1 : 21 Left view of the human brain.  ... 
doi:10.7551/mitpress/7493.003.0022 fatcat:q6xydvjd6rfunowjwuv64dqawi

Brain Computer Interfaces for Cerebral Palsy [chapter]

Pedro Ponce, Arturo Molina, David C., Dimitra Grammatikou
2014 Cerebral Palsy - Challenges for the Future  
for scientific research and brain-computer interfaces. [ ] "miel -Tison C.  ...  On a posterior session user uses the trained algorithm for control. One of the drawbacks is that the variability of brain activity requires that the system is robust enough to handle the changes.  ... 
doi:10.5772/57084 fatcat:jc6kxnvmpzakthwardmpxfcqou
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