Results 21 to 30 of about 44,055 (290)

BCI devices and their capacity to express human will having legal value: A model of risk-based classification

open access: yesEuropean Journal of Privacy Law & Technologies, 2022
One of the ultimate frontiers in biotechnology is Brain-computer-interface. BCI devices are currently developed for therapeutic purposes (e.g., as assistive tools) but also recreational ones.
Lucilla Gatt   +5 more
doaj   +1 more source

Wavelet Lifting over Information-Based EEG Graphs for Motor Imagery Data Classification [PDF]

open access: yes, 2014
The imagination of limb movements offers an intuitive paradigm for the control of electronic devices via brain computer interfacing (BCI). The analysis of electroencephalographic (EEG) data related to motor imagery potentials has proved to be a difficult
Gan, John Q   +6 more
core   +1 more source

Better Cotton: An Approach to Sustainable Agriculture

open access: yesJournal of Applied Agricultural Science and Technology, 2022
Cotton is the largest industrial sector in Pakistan. However, due to bad traditional practices and use of high amount pesticides, the whole industry lost about 10-15% of cotton.
Noor Nabi Bhutto   +2 more
doaj   +1 more source

Discriminative methods for classification of asynchronous imaginary motor tasks from EEG data [PDF]

open access: yes, 2013
In this work, two methods based on statistical models that take into account the temporal changes in the electroencephalographic (EEG) signal are proposed for asynchronous brain-computer interfaces (BCI) based on imaginary motor tasks. Unlike the current
Çetin, Müjdat   +1 more
core   +1 more source

Functional Consequences of Calcium Influx Promoted by Bacterial Pore-Forming Toxins

open access: yesToxins, 2018
Bacterial pore-forming toxins induce a rapid and massive increase in cytosolic Ca2+ concentration due to the formation of pores in the plasma membrane and/or activation of Ca2+-channels.
Stéphanie Bouillot   +2 more
doaj   +1 more source

Comparison between covert sound-production task (sound-imagery) vs. motor-imagery for onset detection in real-life online self-paced BCIs

open access: yesJournal of NeuroEngineering and Rehabilitation, 2020
Background Even though the BCI field has quickly grown in the last few years, it is still mainly investigated as a research area. Increased practicality and usability are required to move BCIs to the real-world.
Youngjae Song, Francisco Sepulveda
doaj   +1 more source

A nationwide assessment of hepatocellular adenoma resection: Indications and pathological discordance

open access: yesHepatology Communications, EarlyView., 2022
Abstract Hepatocellular adenomas (HCAs) are benign liver tumors associated with bleeding or malignant transformation. Data on the indication for surgery are scarce. We analyzed indications and outcome of patients operated for HCAs < 50 mm compared to HCAs ≥ 50 mm. Changes in final postoperative diagnosis were assessed.
Martijn P. D. Haring   +70 more
wiley   +1 more source

Robotic and Virtual Reality BCIs Using Spatial Tactile and Auditory Oddball Paradigms

open access: yesFrontiers in Neurorobotics, 2016
The paper reviews nine robotic and virtual reality (VR) brain-computer interface (BCI) projects developed by the author, in collaboration with his graduate students, within the BCI-lab research group during its association with University of Tsukuba ...
Tomasz Maciej Rutkowski
doaj   +1 more source

A Survey in Implementation and Applications of Electroencephalograph (EEG)-Based Brain-Computer Interface [PDF]

open access: yesEngineering and Technology Journal, 2021
A Brain-Computer Interface (BCI) is an external system that controls activities and processes in the physical world based on brain signals. In Passive BCI, artificial signals are automatically generated by a computer program without any input from nerves
Samaa Abdulwahab   +2 more
doaj   +1 more source

Multiresolution analysis over simple graphs for brain computer interfaces [PDF]

open access: yes, 2013
Objective. Multiresolution analysis (MRA) offers a useful framework for signal analysis in the temporal and spectral domains, although commonly employed MRA methods may not be the best approach for brain computer interface (BCI) applications.
Palaniappan, R   +4 more
core   +1 more source

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