With the wide deployments of heterogeneous networks, huge amounts of data with
characteristics of high volume, high variety, high velocity, and high veracity are generated …

In various disciplines, information about the same phenomenon can be acquired from
different types of detectors, at different conditions, in multiple experiments or subjects …

Upon adequate stimulation, real-time maps of cortical hemodynamic responses can be
obtained by functional near-infrared spectroscopy (fNIRS), which noninvasively measures …

The increase in spatiotemporal resolution of neuroimaging devices is accompanied by a
trend towards more powerful multivariate analysis methods. Often it is desired to interpret the …

The BCI competition IV stands in the tradition of prior BCI competitions that aim to provide
high quality neuroscientific data for open access to the scientific community. As experienced …

Functional Magnetic Resonance Imaging (fMRI) studies have become increasingly popular
both with clinicians and researchers as they are capable of providing unique insights into …

We studied the capability of a Hybrid functional neuroimaging technique to quantify human
mental workload (MWL). We have used electroencephalography (EEG) and functional near …

In this article, the basic concept of myoelectric control and the state of the art in both industry
and academia will be presented. It will emerge that there is a gap between industrial and …

Noninvasive Brain Computer Interfaces (BCI) have been promoted to be used for
neuroprosthetics. However, reports on applications with electroencephalography (EEG) …

Objective. We have developed an asynchronous brain–machine interface (BMI)-based
lower limb exoskeleton control system based on steady-state visual evoked potentials …