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Xin Zhang
Xi'an Jiaotong University
7Publications
2H-index
4Citations
Publications 7
Newest
A key issue in brain-computer interface (BCI) is the detection of intentional control (IC) states and non-intentional control (NC) states in an asynchronous manner. Furthermore, for steady-state visual evoked potential (SSVEP) BCI systems, multiple states (sub-states) exist within the IC state. Existing recognition methods rely on a threshold technique, which is difficult to realize high accuracy, i.e., simultaneously high true positive rate and low false positive rate. To address this issue, we...
#1Xin Zhang (Xi'an Jiaotong University)H-Index: 2
#2Guanghua Xu (Xi'an Jiaotong University)H-Index: 15
Last.Ning Jiang (UW: University of Waterloo)H-Index: 27
view all 5 authors...
Flicker is the most widely used steady-state visual evoked potential (SSVEP) stimulus. In addition, checkerboard can induce steady-state motion visual evoked potential (SSMVEP) in the occipital area. More recently, the action video is proposed to simultaneously elicit SSMVEP and induce sensorimotor area activations via the mirror neuron systems through Action Observation (AO). Integration of AO with brain–computer interface (BCI) is appealing for neural rehabilitation applications. In order to m...
#1Xin ZhangH-Index: 2
#2Guanghua XuH-Index: 15
Last.Ning JiangH-Index: 27
view all 5 authors...
We proposed a novel visual stimulus for brain-computer interface. The stimulus is in the form gaiting sequence of a human. The hypothesis is that observing such a visual stimulus would simultaneously induce 1) steady-state motion visual evoked potential (SSMVEP) in the occipital area, similarly to an SSVEP stimulus; and 2) sensorimotor rhythm (SMR) in the primary sensorimotor area, because such action observation (AO) could activate the mirror neuron system. Canonical correlation analysis (CCA) ...
Aug 1, 2015 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Xin Zhang (Xi'an Jiaotong University)H-Index: 2
#2Guanghua Xu (Xi'an Jiaotong University)H-Index: 15
Last.Jinhua Zhang (Xi'an Jiaotong University)H-Index: 1
view all 6 authors...
With the advent of an aging society, stroke makes a heavy burden for our society. Stroke can damage the motor and sensory neural system and block the closed loop between the brain and the body. Due to the neural plasticity, this closed loop can be rebuilt through training. Users' actively engagement can help expedite functional recovery. Therefore, we propose an EEG-driven Lower Limb Rehabilitation Training System (LLRTS) that can achieve Active and Passive Co-stimulation (APC). Virtual Reality ...
#1Feng ZhangH-Index: 104
#2Guanghua XuH-Index: 15
Last.Jing WangH-Index: 10
view all 8 authors...
This study presents a new steady-state visual evoked potential (SSVEP) paradigm for brain computer interface (BCI) systems. The goal of this study is to increase the number of targets using fewer stimulation high frequencies, with diminishing subject’s fatigue and reducing the risk of photosensitive epileptic seizures. The new paradigm is High-Frequency Combination Coding-Based High-Frequency Steady-State Visual Evoked Potential (HFCC-SSVEP).Firstly, we studied SSVEP high frequency(beyond 25 Hz)...
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