Results 51 to 60 of about 76,961 (216)
BRAIN COMPUTER INTERFACE - Application of an Adaptive Bi-stage Classifier based on RBF-HMM [PDF]
Brain Computer Interface is an emerging technology that allows new output paths to communicate the users intentions without the use of normal output paths, such as muscles or nerves. In order to obtain their objective, BCI devices make use of classifiers
Barrientos Cruz, Antonio +1 more
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A wearable repetitive transcranial magnetic stimulation device
Repetitive transcranial magnetic stimulation (rTMS) is widely used to treat various neuropsychiatric disorders and to explore the brain, but its considerable power consumption and large size limit its potential for broader utility, such as applications ...
Zihui Qi +10 more
doaj +1 more source
Decoding sensorimotor rhythms during robotic-assisted treadmill walking for brain computer interface (BCI) applications [PDF]
Locomotor malfunction represents a major problem in some neurological disorders like stroke and spinal cord injury. Robot-assisted walking devices have been used during rehabilitation of patients with these ailments for regaining and improving walking ...
Garcia Cossio, Dr. E.G.C. (Donders Institute for Brain, Cognition and Behavior)
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Intracortical brain-computer interfaces (iBCIs) demand computationally efficient feature extraction methods to process high-bandwidth neural signals in resource-constrained implantable systems.
Guangxiang Xu +5 more
doaj +1 more source
How Electroencephalogram Reference Influences the Movement Readiness Potential?
Readiness potential (RP) based on electroencephalograms (EEG) has been studied extensively in recent years, but no studies have investigated the influence of the reference electrode on RP.
Yuxia Hu +4 more
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The ethics of brain–computer interfaces [PDF]
As technologies that integrate the brain with computers become more complex, so too do the ethical issues that surround their use. As technologies that integrate the brain with computers become more complex, so too do the ethical issues that surround their use.
openaire +2 more sources
Semi-Supervised Neural Gas for Adaptive Brain-Computer Interfaces [PDF]
Riechmann H, Finke A. Semi-Supervised Neural Gas for Adaptive Brain-Computer Interfaces. In: ESANN 2012 proceedings. i6doc.com; 2012: 121-126.Non-stationarity is inherent in EEG data.
Riechmann, Hannes +1 more
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Augmenting communication, emotion expression and interaction capabilities of individuals with cerebral palsy [PDF]
S.312-315Providing individuals with cerebral palsy (CP) tools to communicate and interact with the environment independently and reliably since childhood would allow for a more active participation in education and social life.
Billinger, Martin +14 more
core +1 more source
Spiking Neural Network for Augmenting Electroencephalographic Data for Brain Computer Interfaces
With the advent of advanced machine learning methods, the performance of brain–computer interfaces (BCIs) has improved unprecedentedly. However, electroencephalography (EEG), a commonly used brain imaging method for BCI, is characterized by a tedious ...
Sai Kalyan Ranga Singanamalla +2 more
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The intangible desire to explore the mysteries of the universe has driven numerous advancements for humanity for centuries. Extraterrestrial journeys are becoming more realistic as a result of human curiosity and endeavors.
Sumeth Klomchitcharoen +11 more
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