北京泰和利康医疗技术开发有限公司

Online Classification of Motor Imagery Using EEG and fNIRS: A Hybrid
Approach with Real Time Human­Computer Interaction
G Hirsch, M Dirodi, R Xu, P Reitner, C Guger ­ International Conference on …, 2020 ­ Springer
… For data acquisition the g.NAUTILUS FNIRS from g.tec was used ­ a hybrid system … F., et al.: A
review on continuous wave functional near­infrared spectroscopy and imaging instrumentation
and … of brain­computer interfaces that combine EEG and fNIRS for motor imagery tasks …

Motor Imagery Experiment Using BCI: An Educational Technology Approach
CAO Daza, FB Garrido, D Burgos ­ Radical Solutions and Learning …, 2020 ­ Springer
… Zhang, Yan, Hu, & Hong, 2017), since to develop MI “(…) the participants must learn to modulate
their mental rhythms to … The Nautilus g.tec 32 BCI equipped with elements such as 32­electrode
headset, two modules (one to transmit and one to … 6.2.2.1 Motor Imagination Practice …

A novel deep learning approach with data augmentation to classify motor imagery signals
Z Zhang, F Duan, J Sole­Casals… ­ IEEE …, 2019 ­ ieeexplore.ieee.org
… All EEG data are acquired by using a g.tec device (g.tec medical engineering GmbH … Morlet
wavelets transformation of the EEG signals has been proved effective in recent motor imagery
studies, including … First of all, we validated our algorithms on our experi­ mental dataset …
Adaptive Riemannian BCI for Enhanced Motor Imagery Training Protocols

D Freer, F Deligianni, GZ Yang ­ 2019 IEEE 16th International …, 2019 ­ ieeexplore.ieee.org
… II. METHODS A. Datasets 1) Data Collection: For this study, we collected data from 3 healthy
volunteers, undergoing 4­class BCI motor imagery training sessions … 12], and the protocol can
be seen in Figure 1. Data was recorded using a 32­channel wet g.Nautilus (g.tec) EEG cap …
A BCI System with Motor Imagery Based on Bidirectional Long­Short Term
Memory
JS Lin, BH She ­ IOP Conference Series: Materials Science and …, 2020 ­ iopscience.iop.org
… Being one of a topic in the research field of BCI, motor imagery (MI) emulates a given mental
activity, eg … 6. Experimental Results The EEG signals were extracted on locations C3, Cz and C4
in this paper and Emotiv EPOC chip, g.tec dry electrode and Ultracortex …
An EEG Brain­Computer Interface to Classify Motor Imagery Signals
MK Andrade, MA de Santana, G Moreno… ­ Biomedical Signal …, 2020 ­ Springer
… In this chapter, the performance of an Imagery EEG­based BCI engine was accessed by applying
Wavelet transform to … Motor imagery combined to artificial intelligence techniques to control
interfaces … EEG was recorded using a g.tec g.Hiamp amplifier at a sampling rate of 256 Hz …
Review on motor imagery based BCI systems for upper limb post­stroke
neurorehabilitation: From designing to application
MA Khan, R Das, HK Iversen… ­ Computers in Biology and …, 2020 ­ Elsevier
… Computers in Biology and Medicine. Review on motor imagery based BCI systems
for upper limb post­stroke neurorehabilitation: From designing to application. Author
links open overlay panelMuhammad AhmedKhan a Rig …
The effects of handedness on sensorimotor rhythm desynchronization and
motor ­imagery BCI control
D Zapała, E Zabielska­Mendyk, P Augustynowicz… ­ Scientific reports, 2020 ­ nature.com
… 26 , participants with a similar temporal profile, obtained in the mental chronometry task, showed
both higher BCI abilities and stronger lateralization of sensorimotor rhythms during motor imagery.
In fact, SMR lateralization is a major issue in the area of motor cognition research …
An advanced bispectrum features for EEG­based motor imagery classification
L Sun, Z Feng, N Lu, B Wang, W Zhang ­ Expert Systems with Applications, 2019 ­ Elsevier
… Alvarez­Meza, Velasquez­Martinez, and Castellanos­Dominguez (2015) makes use of CSP and
motor imagery discrimination using feature relevance analysis (MIDFR) to improve … G.tec (Guger
Technologies OEG Austria) BCI device was utilized to collect MI­related EEG signals …
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