Browsing Systems Design Engineering by Author "Dremstrup, Kim"
Now showing items 1-4 of 4
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Detection of movement-related cortical potentials based on subject-independent training
Niazi, Imran Khan; Jiang, Ning; Jochumsen, Mads; Nielsen, Jorgen Feldbaek; Dremstrup, Kim; Farina, Dario (Springer Verlag, 2013-05-01)To allow a routinely use of brain-computer interfaces (BCI), there is a need to reduce or completely eliminate the time-consuming part of the individualized training of the user. In this study, we investigate the possibility ... -
The effect of type of afferent feedback timed with motor imagery on the induction of cortical plasticity
Mrachacz-Kersting, Natalie; Voigt, Michael; Stevenson, Andrew James Thomas; Aliakbaryhosseinabadi, Susan; Jiang, Ning; Dremstrup, Kim; Farina, Dario (Elsevier, 2017-11-01)A peripherally generated afferent volley that arrives at the peak negative (PN) phase during the movement related cortical potential (MRCP) induces significant plasticity at the cortical level in healthy individuals and ... -
Factors of Influence on the Performance of a Short-Latency Non-Invasive Brain Switch: Evidence in Healthy Individuals and Implication for Motor Function Rehabilitation
Xu, Ren; Jiang, Ning; Mrachacz-Kersting, Natalie; Dremstrup, Kim; Farina, Dario (Frontiers Media, 2016-01-21)Brain computer interfacing (BCI) has recently been applied as a rehabilitation approach for patients with motor disorders, such as stroke. In these closed-loop applications, a brain switch detects the motor intention from ... -
Movement-related cortical potentials in paraplegic patients: abnormal patterns and considerations for BCI-rehabilitation
Jiang, Ning; Xu, Ren; Vuckovic, Aleksandra; Hasan, Muhammad; Mrachacz-Kersting, Natalie; Allan, David; Fraser, Matthew; Nasseroleslami, Bahman; Conway, Bernie; Dremstrup, Kim; Farina, Dario (Frontiers, 2014-08-27)Non-invasive EEG-based Brain-Computer Interfaces (BCI) can be promising for the motor neuro-rehabilitation of paraplegic patients. However, this shall require detailed knowledge of the abnormalities in the EEG signatures ...