Xinjun Sheng
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Explore the profile of Xinjun Sheng including associated specialties, affiliations and a list of published articles.
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89
Citations
418
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Recent Articles
11.
Mai X, Sheng X, Shu X, Ding Y, Zhu X, Meng J
IEEE Trans Neural Syst Rehabil Eng
. 2023 Aug;
31:3480-3491.
PMID: 37610901
While SSVEP-BCI has been widely developed to control external devices, most of them rely on the discrete control strategy. The continuous SSVEP-BCI enables users to continuously deliver commands and receive...
12.
Zhao J, Yu Y, Sheng X, Zhu X
J Neural Eng
. 2023 Aug;
20(5).
PMID: 37567218
Musculoskeletal model (MM)-based myoelectric interface has aroused great interest in human-machine interaction. However, the performance of electromyography (EMG)-driven MM in long-term use would be degraded owing to the inherent non-stationary...
13.
Li G, Jiang S, Meng J, Wu Z, Jiang H, Fan Z, et al.
Cereb Cortex
. 2023 Jul;
33(17):9764-9777.
PMID: 37464883
Making hand movements in response to visual cues is common in daily life. It has been well known that this process activates multiple areas in the brain, but how these...
14.
Slow-wave modulation analysis during states of unconsciousness using the novel tau-modulation method
Xie T, Wu Z, Foutz T, Sheng X, Zhu X, Leuthardt E, et al.
J Neural Eng
. 2023 Jul;
20(4).
PMID: 37429273
. Slow-wave modulation occurs during states of unconsciousness and is a large-scale indicator of underlying brain states. Conventional methods typically characterize these large-scale dynamics by assuming that slow-wave activity is...
15.
Shi X, Guo W, Xu W, Sheng X
Biomimetics (Basel)
. 2023 Jun;
8(2).
PMID: 37366845
Shared control of bionic robot hands has recently attracted much research attention. However, few studies have performed predictive analysis for grasp pose, which is vital for the pre-shape planning of...
16.
Xia M, Chen C, Xu Y, Li Y, Sheng X, Ding H
IEEE Trans Biomed Eng
. 2023 Apr;
70(10):2852-2862.
PMID: 37043313
Neural interfacing has played an essential role in advancing our understanding of fundamental movement neurophysiology and the development of human-machine interface. However, direct neural interfaces from brain and nerve recording...
17.
Chen C, Yu Y, Sheng X, Meng J, Zhu X
IEEE Trans Neural Syst Rehabil Eng
. 2023 Apr;
31:1807-1815.
PMID: 37030732
The surface electromyography (EMG) decomposition techniques provide access to motor neuron activities and have been applied to myoelectric control schemes. However, the current decomposition-based myoelectric control mainly focuses on discrete...
18.
Chen C, Yu Y, Sheng X, Meng J, Zhu X
IEEE Trans Biomed Eng
. 2023 Apr;
70(7):2058-2068.
PMID: 37018607
Objective: Surface electromyography (EMG) decomposition techniques have been developed to decode motor neuron activities non-invasively in the past decades, showing superior performance in human-machine interfaces such as gesture recognition and...
19.
Su S, Chai G, Xu W, Meng J, Sheng X, Mouraux A, et al.
J Neural Eng
. 2023 Jan;
20(1).
PMID: 36595235
. The primary purpose of this study was to investigate the electrophysiological mechanism underlying different modalities of sensory feedback and multi-sensory integration in typical prosthesis control tasks.. We recruited 15...
20.
Li Y, Li C, Shu X, Sheng X, Jia J, Zhu X
Brain Sci
. 2022 Oct;
12(10).
PMID: 36291314
Motor function assessment is essential for post-stroke rehabilitation, while the requirement for professional therapists’ participation in current clinical assessment limits its availability to most patients. By means of sensors that...