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A steady-state visual evoked potential (SSVEP) is a neural response observed in the visual cortex evoked by repetitive visual stimulation. In an SSVEP-based brain-computer interface (BCI) application various visual stimuli that induce SSVEPs at different frequencies are associated with distinct commands; a user activates a particular command by focusing on the targeted stimulus. The pattern of these...
Most of the recent brain-computer interfaces (BCI) based on motor imagery are designed by taking into account a single user. A BCI system designed for multiple users without the need of extensive training sessions could be a viable solution for the system's implementation outside research centers. The present work explores the design of an independent-subject BCI. In order to accomplish this, Linear...
Current movement prediction systems based on electroencephalography were mainly developed and evaluated in highly controlled scenarios, in which subjects concentrate only on the desired task with as few as possible disturbing sources present. However, it has not been addressed sufficiently how the suggested methods perform in more complex and uncontrolled environments. In this work we predict arm...
Robotic limbs can enable individuals with impaired mobility and motor system output to interact with their physical environment. Many of these individuals do not have the motor control necessary to utilize their hands to control an assistive device. We hypothesize both healthy and post-stroke individuals can modulate sensorimotor rhythms with motor imagery to control of a human-size robotic arm and...
Wireless electroencephalogram (EEG) systems have become an increasingly important tool for the diagnosis and management of epilepsy. One major consideration in using such a wireless EEG-based system is the stringent battery energy constraint at the sensor side. Different solutions to reduce the power consumption are therefore highly desired. Conventionally, the entire EEG signals acquired by the sensor...
In this study, we investigated that whether covertly spoken words with different meaning are discriminable during electroencephalography (EEG) recording. Neural activities were recorded from 30 channel 10–20 system electrodes. By employing a paired T-test, we briefly identify the difference in spatio-spectro-temporal characteristics between two categories of meaning (number and face). EEG features...
Steady-state visual evoked potential (SSVEP) is an electroencephalogram (EEG) activity elicited by periodic visual flickers. Frequency-coded SSVEP has been commonly adopted for functioning brain-computer interfaces (BCIs). Up to date, canonical correlation analysis (CCA), a multivariate statistical method, is considered to be state-of-the-art to robustly detect SSVEPs. However, the spectra of EEG...
This paper describes a telemetric interactive intracortical microstimulation (ICMS) and simultaneous recording device developed to deliver chronic microstimulation to the ipsilateral cortex and monitor evoked responses from the contralateral cortex. The embedded device was developed utilizing a Programmable System on a Chip (PSoC) microcontroller that can be remotely configured through Bluetooth....
A validation of a closed-loop system-on-chip (SoC) for epilepsy treatment is presented. A 12mm2 0.13μm CMOS SoC provides the functionality of neural recording, neural stimulation and early seizure detection based on the bivariate phase synchrony estimation algorithm. The SoC can operate in a closed loop, has 64 neural recording and 64 neural stimulation channels, and dissipates 1.4mW and 1.5mW across...
The burden of neurological disease represents a large unmet need. Yet the application of medical technology to address these needs is often limited due to the lack of underlying neural data on natural pathophysiology and, in particular, its response to existing and potential treatments. This work describes the inherent constraints of medical device design in the evolving neurotechnology space, and...
Movement related cortical potentials (MRCPs) have been studied for many years and proposed as reliable and immediate indicators of cortical reorganizations in motor learning and after stroke. It has been reported that decrease in amplitude and later onset of MRCPs reflect less mental effort and shorter planning time during a motor task. In this study MRCPs preceding hand movements in severe chronic...
Many professions place significant mental and/or physical strain on their workers. Some professionals such as firefighters, soldiers, and pilots have an inherent responsibility for the safety of others. Making sure that workers in these professions remain fit for duty is an important health/safety concern for the workers and those they serve. This paper explores the viability of using a Brain-Computer...
EEG-based emotion recognition has been studied for a long time. In this paper, a new effective EEG feature named differential entropy is proposed to represent the characteristics associated with emotional states. Differential entropy (DE) and its combination on symmetrical electrodes (Differential asymmetry, DASM; and rational asymmetry, RASM) are compared with traditional frequency domain feature...
Dipole source analysis is applied to model brain generators of surface-recorded evoked potentials, epileptiform activity, and event-related potentials (ERP). The aim of this study was to explore brain activity of interaction between bimodal sensory cognition. Seven healthy volunteers were recruited in the study and ERP to these stimuli were recorded by 64 electrodes EEG recording system. Subjects...
Face recognition has attracted great interest especially in computer vision, but poses and illumination of the face lay great difficulty in recognition accuracy. Studies on human face in the field of cognitive neuroscience found some face-specific event-related potential (ERP) components, such as N170, VPP. And some researchers used these face-specific ERP components to achieve face detection based...
Steady state visual evoked potentials (SSVEP) are widely used in EEG research as they offer a relatively high signal to noise ratio allowing the investigation of visual processing at the cortical level. Presentation of a repetitive visual stimulus (flicker, RVS) at a frequency in the range from approximately 1 to 100 Hz, elicits an oscillatory response at the same frequency of the stimulus and/or...
Current BMI technology requires significant development to enable patients with severe motor disabilities to obtain vital degrees of freedom in everyday life. State-of-the-art systems are expensive, require long training times and suffer from low patient uptake. We propose a non-invasive and ultra-low cost alternative — action intention decoding from 3D gaze signals. Building on our previous work,...
This paper investigates human emotion recognition based on event-related potentials (ERPs) in EEG elicited by picture presentation. Emotion is manipulated through arousal and valence with a calibrated picture dataset. A classification framework is designed for single-trial ERP classification. The most discriminative spatio-temporal features of emotional states were selected and fed to a shrinkage...
Human-Computer Interfaces (HCI) allow effective interactions between human being and computers, which is of particular significance to people with disabilities or temporary mobility impairment. In this paper, we propose the EyePhone framework, a mobile HCI that allows users to control mobile phones through intentional eye or facial movements. A proof-of-concept prototype is developed based on a wearable...
Brain-computer interface (BCI) is an emerging communication technique that decodes the user's intention or emotional state. Emotional states usually affect one's brain activity, so use of such emotional states can enhance BCI performance. Emotional data may implicitly have specific informative patterns depending on stimuli such as facial expression, objects, or scenery. In this work, we analyzed 28...
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