[PDF] Top 20 Saúde mental dos imigrantes coreanos em São Paulo, Brasil
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Non-invasive EEG-based brain-computer interfaces in patients with disorders of consciousness
... fMRI, EEG, and even invasive recording of brain ...on non-invasive BCIs have made important demonstrations in controlling communication aids and external ...of ... See full document
8
Detecting number processing and mental calculation in patients with disorders of consciousness using a hybrid brain-computer interface system
... in patients with disorders of consciousness (DOC), ...human brain [1–3]. Currently, behavior-based methods are predominantly used in evaluating patients with DOC ...these ... See full document
28
A gaze-independent audiovisual brain-computer Interface for detecting awareness of patients with disorders of consciousness
... with disorders of consciousness (DOC), such as unresponsive wakefulness syndrome (UWS, formerly known as the vegetative state [6]) and minimally con- scious state ...of patients with DOC is conducted ... See full document
9
Identifying Electrophysiological Components of Covert Awareness in Patients with Disorders of Consciousness
... for patients with DOC that can also be used to cover the gaps left by the practical and technical limitations of ...novel EEG method developed by Dmochowski et ...synchronization, based on ... See full document
239
Decoding Mental States after Severe Brain Injury
... of consciousness, particularly when relying upon patients with disorders of consciousness, is both logistical and philosophical in ...from patients with disorders of ... See full document
145
Supervised ANN vs Unsupervised SOM to Classify EEG Data for BCI: Why can GMDH do better?
... A brain-computer interface system uses electrical signals that can be detected on the scalp, the cortical surface, or subcortical brain ...from EEG and puts them in action, allowing the ... See full document
235
Multi-phase cycle coding for SSVEP based brain-computer interfaces
... was based on the cyclic Hamming distance and the detected word was the one that has the smallest distance with any words in a code group, was used to detect the code word, the distance between the object code word ... See full document
153
Feature Selection and Blind Source Separation in an EEG-Based Brain-Computer Interface
... nonlinear classifiers have the disadvantage that the classifier’s weights do not provide a simple proxy measure of the in- put feature’s importance, as is the case with the linear SVM formulation. We also used only one ... See full document
5
Utilising P300 via Non Invasive Brain Computer Interface to Control Wheelchair
... for brain wave signal processing has headset of single electrode which works on EEG ...The brain can emit more signals at different frequency ...feelings based on behavior of people that ... See full document
13
A review on EEG based brain computer interface systems feature extraction methods
... Now, a brief review of the derivation of CBP features isprovided. Amplitude and phase features are extracted from Laplacian-filtered EEG signals using a sliding Hamming window to which an FFT was applied. At the ... See full document
176
Developing a home-based functional application for an EEG-based brain computer interface
... movement based devices. Using an EEG-based system to enable people to express themselves in music is considered to be both therapeutic and ... See full document
5
Analyzing EEG based Neurological Phenomenon in BCI Systems
... The Brain Computer Interface systems are broadly categorized as invasive and ...In invasive type of BCI system, microelectrodes are implanted into the skull of the user’s ...of invasive ... See full document
58
Brain Computer Interface Systems To Assist Patients Using EEG Signals
... So in this paper we are developing a prototype model which can assist paralyzed patients through emotion states. We are developing a feature extraction algorithm using DWT and KNN classifier which can classify the ... See full document
8
Brain computer interfaces, virtual reality, and videogames
... T he connection between BCIs, videogames, and VR technologies offers a promising research area. Researchers have developed impressive prototypes in laboratories over the past few years. These let people navigate virtual ... See full document
31
Commercial wireless versus standard stationary EEG systems for personalized emotional brain-computer interfaces: a preliminary reliability check
... developing Brain-Computer Interface (BCI) ...programming computer systems to recognize emotional content in facial expressions and vocal inflections [1] and allows software-based intelligence ... See full document
5
EEG-based Brain Computer Interface for Smart Home Control Using Arduino
... cost EEG-based smart home system with Arduino is currently not yet implemented together with brain signal in order to control home ...on brain signal in smart home control, but it is used in ... See full document
122
Analyzing and improving generalization over time in CSP based Brain Computer Interfaces
... in brain signals during movement-related tasks, nor are we aware of such a ...are based on the results of the analysis carried out in chapter 4, but there is no guarantee that these characteristics hold ... See full document
12
A STUDY ON THE PERFORMANCE OF VARIOUS BRAIN-COMPUTER INTERFACES
... from brain activity to communicate with, influence, control, or change their ...emerging brain- computer interface (BCI) technology allows individuals who are unable to speak and/or use their limbs ... See full document
7
EEG-based Brain-computer Interface for Automating Home Appliances
... analyses brain signals and then translate them into commands to control external devices such as wheelchair, TV, and light system [2, ...the brain. This test is used as a non-invasive ... See full document
9
EEG-based brain-computer interfaces using motor-imagery : techniques and challenges
... hardware interfaces [2,8]. This section investigates some of the prominent non-biomedical applications of ...systems based on P300 potentials, users do not need to be ... See full document
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