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In this paper, we present a design for a portable single-channel EEG-controlled hearing aid. The design has relevance for future versions of hearing aids that may make use of electroencephalography (EEG) to control the settings and signal processing on the hearing aid. The design also has relevance for auditory-based brain-computer interface (BCI) systems. Current hearing aid technology uses only...
Motor imagery brain-computer interface (BCI) is a system that sends commands from human to external devices using brain activity patterns of imagination of a motor action without an actual movement. In this paper, we compared classification performance among the various combinations of motor imagery tasks, toward the multi-dimensional control of motor imagery BCI. We used EEG motor imagery dataset...
Spike sorting is a critical task in neural signal decoding because of its computational complexity. From this perspective, the research trend in the last years aimed at designing massively parallel hardware accelerators. However, for implantable system with a reduced number of channels, as could be those interfaced to the Peripheral Nervous Systems (PNS) for neural prostheses, the efficiency in terms...
Most brain-computer interface (BCI) systems based on visual evoked potentials (VEPs) rely on the use of a number of flashing stimuli with differences in their frequency or phase characteristics. These repetitive visual stimuli give rise to oscillatory electroencephalographic (EEG) activity which is correlated with the characteristics of the observed stimuli, allowing for target discrimination. The...
Non-invasive brain stimulation (NIBS) involves passing low currents through the brain where detectable effects on neuronal activity and cognitive function have been found due to small but effective voltage gradients brought about in the brain tissue. Although NIBS is a promising tool for inducing alteration of cortical excitability but it presents challenge in terms of optimization of the electrode...
Laparoscopic simple nephrectomy (LSN) is an accepted treatment modality for nonfunctioning kidneys. Besides decreased postoperative morbidity, LSN is an advantage with decreased analgesic requirements and convalescence. LSN is a highly stressful operation, and the procedure requires high concentration level and experience. Emotions recognized from Electroencephalogram (EEG) may lead to detect the...
We investigated brain potentials related to the abandonment of the motor intention prior to the initiation of a point-to-point finger reaching movement. The starting time of the movement was indicated with the clock making one revolution for 4 s. The time at which the clock hand passed the 3 o'clock position was defined as a go timing. In the go trials, a subject was instructed to start the movement...
Accurate spatial perception is important for the successful performance of any motor task. Research suggests that this capability declines significantly in patients with Alzheimer's disease. Using a virtual reality navigational test, this study investigates the orientation ability. In particular, we hypothesize the ability to orient using egocentric information declines significantly with Alzheimer's...
Intracranial electroencephalography (iEEG) recorded electrical activity of populations of neurons in humans performing a spatial navigation task in a virtual reality. The task involved navigation in a virtual room and interaction with fixed objects located in that room. The θ (4–10Hz) frequency range of the recorded iEEG deep in the brain showed increased activity during virtual movement. The central...
Three key cognitive components involved in deception, i.e., working memory, inhibition control and task switching share a most fundamental neuropsychological process, i.e., execution control. Although dissociable neuroanatomies associated with individual cognitive component for deception have been identified by fMRI, practical application of fMRI in lie detection remains constrained by its limited...
In this contribution we present first investigations for the signal processing on Micro Electrode Arrays (MEAs) used to observe the growth of biological neural networks. Neural cells produce ion currents, which can be measured extracellularly as differences in electric potentials. In order to measure these potentials (spikes), neuronal stem cells are cultivated on the surface of MEAs. These stem cells...
A general model-based methodology is presented for the optimal design of stimulation patterns in the CA1 region of the hippocampus of non-human primates (NHP) that seeks to enhance performance in a Delayed-Match-to-Sample task. The methodology follows a hierarchical Volterra-type modeling approach that expresses the probability of a correct behavioral outcome in terms of multi-convolutional modules...
Inclusion of the prosthesis in the body schema lets the device felt by the user as an extension of the self and consequently improves its performance and acceptability. Two paradigmatic models that faced the issue of the illusory embodiment, the rubber hand illusion and the mirror box, revealed that such process goes in parallel with changes in the activity of cortical sensorimotor areas devoted to...
Schizophrenia is a mental disorder that may include delusions, loss of personality, confusion, social withdrawal, psychosis, and bizarre behavior. In this study, we use Electroencephalogram (EEG) signals of the Alpha band to detect the differences between nonlinear EEG features of schizophrenic patients and non-psychiatric controls. EEG signals from 31 schizophrenic patients and 31 age/sex matched...
The tolerance limit for acceptable multimedia quality is changing as more and more high quality services approach the market. Thus, negative emotional reactions towards low quality services may cause user disappointment and are likely to increase churn rate. The current study analyzes how different levels of synthetic speech quality, obtained from different text-to-speech (TTS) systems, affect the...
Blood oxygenation level dependent (BOLD) functional magnetic resonance (fMRI) imaging and functional near infrared spectroscopy (fNIRS) have been widely used to investigate hemodynamic responses to functional stimulation in the human brain. In the present study, we propose a time dependent multi layered Monte Carlo (TD-MCML) simulation approach for mapping brain and scalp tissue absorbance attained...
The heart rhythms, controlled by the autonomic nervous system, can fluctuate with varying cognitive loads that can be captured with electrocardiogram (ECG) and heart rate variability (HRV) metrics. In this paper, we report customization of a wireless, ambulatory NeuroMonitor device originally developed for collecting electroencephalogram (EEG) signals as a platform for ECG and HRV data collection...
People regularly show inhibition control in split second under tough situations in daily life. In order to identify the brain process of inhibition control, this study introduced a new methodology to observe brain dynamics in response and success/failure inhibition in typical and realistic scenarios. Subjects will feel stress during decision-making in scenario-compatible stop-signal tasks in bith...
In this paper, we investigate the use of 2-channel frontal EEG signal to classify two music preferences: like and dislike. The hypothesis for this investigation is that the frontal EEG signal contains sufficient information on the mental state of a subject for discriminating the preference of music of the subject. An experiment is performed to collect 2-channel frontal EEG data from 12 subjects by...
Despite decades of analytical research on sensory late evoked responses the information potential of evoked potentials is not yet exhausted. The influence of spectro-temporal synchronization dynamics in the sensory cortices on non-invasively recorded data remains still elusive. Evoked responses align reliably in phase during repetitive stimulus presentation, and are subject to attentional modulation...
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