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Brain plasticity and rehabilitation by using Near-Infrared Spectroscopy

Michela Balconi
2016 Neuropsychological Trends  
The present review elucidated the use of optical imaging technique (Near-Infrared Spectroscopy, NIRS) to better explain the brain plasticity for learning mechanisms, rehabilitation and post-traumatic brain  ...  Some recent applications were discussed, with specific focus on the usability of integrated measures (such as electroencephalography, EEG-NIRS; Transcranial Magnet Stimulation, TMS-NIRS) to study plasticity  ...  While in both BCI and NF the participant's brain signals are directly displayed to the participant in real-time, these applications differ conceptually.  ... 
doi:10.7358/neur-2016-019-balc fatcat:bupuwymiirge7jpsfiw7obijlq

Enrichment of Human-Computer Interaction in Brain-Computer Interfaces via Virtual Environments

Alonso-Valerdi Luz María, Mercado-García Víctor Rodrigo
2017 Computational Intelligence and Neuroscience  
Tridimensional representations stimulate cognitive processes that are the core and foundation of human-computer interaction (HCI).  ...  BCI is as a nonmuscular communication channel that attempts to reestablish the interaction between an individual and his/her environment.  ...  perceptual learning.  ... 
doi:10.1155/2017/6076913 pmid:29317861 pmcid:PMC5727652 fatcat:v5b5kasvmff7nhlm33jr4rojsy

Hybrid fNIRS-EEG based classification of auditory and visual perception processes

Felix Putze, Sebastian Hesslinger, Chun-Yu Tse, YunYing Huang, Christian Herff, Cuntai Guan, Tanja Schultz
2014 Frontiers in Neuroscience  
For multimodal Human-Computer Interaction (HCI), it is very useful to identify the modalities on which the user is currently processing information.  ...  In this paper, we develop a hybrid Brain-Computer Interface (BCI) which uses Electroencephalography (EEG) and functional Near Infrared Spectroscopy (fNIRS) to discriminate and detect visual and auditory  ...  We acknowledge support by Deutsche Forschungsgemeinschaft and Open Access Publishing Fund of Karlsruhe Institute of Technology.  ... 
doi:10.3389/fnins.2014.00373 pmid:25477777 pmcid:PMC4235375 fatcat:iey6uss7njaaheeb3bkv4xiqne

In the Spotlight: Neuroengineering

Nitish Thakor
2010 IEEE Reviews in Biomedical Engineering  
The "hot" areas, at least as measured by popularity and visibility, continue to be the fields of brain-computer interface (BCI) or brain-machine interface (BMI), the application of BMI to neural prosthesis  ...  Bayesian reconstruction of perceptual experiences from human brain activity."  ...  Bayesian reconstruction of perceptual experiences from human brain activity."  ... 
doi:10.1109/rbme.2010.2086872 pmid:22275198 fatcat:5ltrbciegjfhdjiup56ydln5k4

In the spotlight: Neuroengineering

N. Thakor
2008 IEEE Reviews in Biomedical Engineering  
The "hot" areas, at least as measured by popularity and visibility, continue to be the fields of brain-computer interface (BCI) or brain-machine interface (BMI), the application of BMI to neural prosthesis  ...  Bayesian reconstruction of perceptual experiences from human brain activity."  ...  Bayesian reconstruction of perceptual experiences from human brain activity."  ... 
doi:10.1109/rbme.2008.2008231 pmid:22274896 fatcat:7wwhsnlqefbjrmo2ylzd5lgyy4

In the Spotlight: Neuroengineering

Nitish V. Thakor
2013 IEEE Reviews in Biomedical Engineering  
The "hot" areas, at least as measured by popularity and visibility, continue to be the fields of brain-computer interface (BCI) or brain-machine interface (BMI), the application of BMI to neural prosthesis  ...  Bayesian reconstruction of perceptual experiences from human brain activity."  ...  Bayesian reconstruction of perceptual experiences from human brain activity."  ... 
doi:10.1109/rbme.2012.2228515 pmid:23193468 fatcat:6neq4ti3ojg67ehsm65inwivrm

In the Spotlight: Neuroengineering

Nitish V. Thakor
2011 IEEE Reviews in Biomedical Engineering  
The "hot" areas, at least as measured by popularity and visibility, continue to be the fields of brain-computer interface (BCI) or brain-machine interface (BMI), the application of BMI to neural prosthesis  ...  Bayesian reconstruction of perceptual experiences from human brain activity."  ...  Bayesian reconstruction of perceptual experiences from human brain activity."  ... 
doi:10.1109/rbme.2011.2174126 pmid:22273788 fatcat:4qm7anyui5fplneghuywqmx4f4

In the spotlight: neuroengineering

N. Thakor
2009 IEEE Reviews in Biomedical Engineering  
The "hot" areas, at least as measured by popularity and visibility, continue to be the fields of brain-computer interface (BCI) or brain-machine interface (BMI), the application of BMI to neural prosthesis  ...  Bayesian reconstruction of perceptual experiences from human brain activity."  ...  Bayesian reconstruction of perceptual experiences from human brain activity."  ... 
doi:10.1109/rbme.2009.2034697 pmid:22275040 fatcat:75nuepikmbgdrosuzqxn3iuqqm

Neuroergonomics for Aviation [chapter]

Daniel E. Callan, Frédéric Dehais
2019 Neuroergonomics  
The neuroergonomic approach maintains that an understanding of neural processes underlying human behavior can best be understood by investigating the underlying interacting brain networks in the context  ...  Neuroergonomics is the study of how the brain functions in real-world situations with the goal of developing technology to enhance human performance.  ...  The ability to utilize BCI technology practically in neuroergonomic applications requires that it does not interfere with the normal operation of the task at hand, does not increase workload, and improves  ... 
doi:10.1016/b978-0-12-811926-6.00009-9 fatcat:g3hnrdtogjgyxn5t7dy4cfegqm

Automated Task Load Detection with Electroencephalography: Towards Passive Brain–Computer Interfacing in Robotic Surgery

Thorsten O. Zander, Kunal Shetty, Romy Lorenz, Daniel R. Leff, Laurens R. Krol, Ara W. Darzi, Klaus Gramann, Guang-Zhong Yang
2017 Journal of Medical Robotics Research  
Automatic detection of the current task load of a surgeon in the theatre in real time could provide helpful information, to be used in supportive systems.  ...  In this study, a passive brain-computer interface was used to assess changes in task load of skilled surgeons performing both simple and complex surgical training tasks.  ...  A final, highly interesting step would be to investigate the application of other developments from the field of human-computer interaction and passive BCI to robotic surgery, in particular, passive BCI-based  ... 
doi:10.1142/s2424905x17500039 fatcat:3zonsoxy6zhv5j5x2uqdm6w3ri

Progress in Brain Computer Interface: Challenges and Opportunities

Simanto Saha, Khondaker A. Mamun, Khawza Ahmed, Raqibul Mostafa, Ganesh R. Naik, Sam Darvishi, Ahsan H. Khandoker, Mathias Baumert
2021 Frontiers in Systems Neuroscience  
This review summarizes state-of-the-art progress in the BCI field over the last decades and highlights critical challenges.  ...  They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have potential applications in various fields such as rehabilitation, affective  ...  Recent studies have demonstrated decoding of FIGURE 2 | A schematic illustration of the evolution of the brain computer interface (BCI) applications: Cognitive & Perceptual Learning/Rehabilitation (McMillan  ... 
doi:10.3389/fnsys.2021.578875 pmid:33716680 pmcid:PMC7947348 fatcat:326rfleaxnednmhjowg6dnce2u

Controlling Assistive Machines in Paralysis Using Brain Waves and Other Biosignals

Paulo Rogério de Almeida Ribeiro, Fabricio Lima Brasil, Matthias Witkowski, Farid Shiman, Christian Cipriani, Nicola Vitiello, Maria Chiara Carrozza, Surjo Raphael Soekadar
2013 Advances in Human-Computer Interaction  
Here, we give an overview of the current state of assistive, noninvasive BMI research and propose to integrate brain waves and other biosignals for improved control and applicability of assistive machines  ...  The extent to which humans can interact with machines significantly enhanced through inclusion of speech, gestures, and eye movements.  ...  Education and Research (BMBF, 01GQ0831, and 16SV5840), and the Deutsche Forschungsgemeinschaft (DFG SO932-2), Open Access Publishing Fund of the University of Tübingen, as well as CNPq/DAAD (National  ... 
doi:10.1155/2013/369425 fatcat:bhylflw4gvh3vo4vnou7fvyd6i

A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems [article]

Walid Saad, Mehdi Bennis, Mingzhe Chen
2019 arXiv   pre-print
In this regard, we first identify the primary drivers of 6G systems, in terms of applications and accompanying technological trends.  ...  The ongoing deployment of 5G cellular systems is continuously exposing the inherent limitations of this system, compared to its original premise as an enabler for Internet of Everything applications.  ...  . • Exploration of THz bands (above 140 GHz). • Non-RF (e.g., optical, VLC, etc.).  ... 
arXiv:1902.10265v2 fatcat:lexwo4epevdenoojeax2sang2e

An analysis framework for Near InfraRed Spectroscopy based brain-computer interface and prospective application to robotic surgery

Marco Caproni, Felipe Orihuela-Espina, David R. C. James, Arianna Menciassi, Paolo Dario, Ara W. Darzi, Guang-Zhong Yang
2009 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems  
Motivated by the need of augmenting the surgeon mastery, we explore the capabilities of a near infrared brain-computer interface as a complementary input modality to enhance the human-robot interaction  ...  As medical robotics gathers increasing attention, the ergonomics of the surgical-console design becomes an important issue.  ...  Thus far, the predominant clinical application of BCI is in the control of prosthetic limbs [12] .  ... 
doi:10.1109/iros.2009.5354472 dblp:conf/iros/CaproniOJMDDY09 fatcat:j5wygsg765g2rdrdmj43jgvqku

State Dependency: Audiovisual interaction through brain states

Patrick Neff, Jan Schacher, Daniel Bisig
2019 Proceedings of the SMC Conferences  
We deployed a BCI to collect motor imagery, visual and cognitive neural activity to calculate approximate entropy (a second order measure of neural signal activity) which was in turn used to interact with  ...  Artistic installations using brain-computer interfaces (BCI) to interact with media in general, and sound in specific, have become increasingly numerous in the last years.  ...  Acknowledgments The Immersive Lab is a long term project at the Zurich University of the Arts. The current project cycle is funded by the Swiss National Science Foundation, AGORA Grant Nr.  ... 
doi:10.5281/zenodo.3737940 fatcat:yod3ciu4xzfopdo2pgw2wefk3q
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