Pain is a subjective experience and clinicians need to treat patients with accurate pain levels. EEG has emerged as a useful tool for objective pain assessment, but due to the low signal-to-noise ratio of pain-related EEG signals, the prediction …
In this paper, the problem of electrodes shift is studied in low-density surface electromyographic (sEMG) based prosthetic control with the proposed Sliding Window Nonnegative Matrix Factorization (SW-NMF) algorithm. By artificially switching the …
This study focuses on a demonstration of differences between movement-related cortical potentials (MRCPs) during emergency and non-emergency situations. Two paradigms were designed for emergency and non-emergency situations. The necessary …
The ability of recognizing driving actions could help building a more advanced driving assitance system, and could even be applied in automated driving to improve the driving safety. In this paper, we investigate the offline recognition of three …
Simultaneous collection of electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) is a promising neuroimaging technique, which can provide high resolution in both spatial and temporal domain. Because EEG recorded in MRI scanners …
To solve multiple comparisons problems in EEG/MEG analyses, cluster-based permutation test is possibly the most powerful approach, while it also inherits the advantage of well-controlled family-wise error rate from point-level permutation test. …
Measuring the amplitude of specific frequencies in the spectrum of the EEG signal is a technique that is increasingly used to study the cortical activities related to rhythmic activities, such as the processing of acoustic rhythms, or the performance …