A5037164063- EEG and Brain-Computer Interfaces
- 3D Printing in Biomedical Research
- Stroke Rehabilitation and Recovery
- Blind Source Separation Techniques
- Neuroscience and Neural Engineering
- Bone Tissue Engineering Materials
- Muscle activation and electromyography studies
- Advanced Memory and Neural Computing
- Prosthetics and Rehabilitation Robotics
- Gaze Tracking and Assistive Technology
- Collagen: Extraction and Characterization
- Electrospun Nanofibers in Biomedical Applications
- Proteoglycans and glycosaminoglycans research
- Silk-based biomaterials and applications
- Particle Dynamics in Fluid Flows
- Coal Properties and Utilization
- Autoimmune Neurological Disorders and Treatments
- Industrial Technology and Control Systems
- Tactile and Sensory Interactions
- Liver physiology and pathology
- Peripheral Neuropathies and Disorders
- Click Chemistry and Applications
- Neural dynamics and brain function
- Prion Diseases and Protein Misfolding
- Neurological disorders and treatments
Xi'an Jiaotong University
2017-2025
Daqing Oilfield General Hospital
2024
National University of Singapore
2022
Suzhou Institute of Nano-tech and Nano-bionics
2018-2020
Chinese Academy of Sciences
2018-2020
Second Hospital of Hebei Medical University
2018
China XD Group (China)
2018
Hebei Medical University
2018
Wuhan University of Technology
2014
Brain computer interface (BCI) based training had shown promising in treating patients who have suffered from stroke with upper limb (UL) paralysis. However, the real world study, most received comprehensive treatment, not only includes BCI but also routine training. The purpose of this study was to investigate topological alterations brain functional networks following treatment including subacute stage stroke. Twenty-five hospitalized moderate severe UL paralysis were assigned into 2...
Channel selection is a key topic in brain-computer interface (BCI). Task-irrelevant and redundant channels used BCI may lead to low classification accuracy, high computational complexity, inconvenience for application. By selecting optimal channels, the performance of could enhance significantly. In this paper, new binary harmony search (BHS) proposed select channel sets optimize system accuracy. The BHS implemented on training data test are evaluate selected channels. sparse...
Several studies have shown the positive clinical effect of brain computer interface (BCI) training for stroke rehabilitation. This study investigated efficacy sensorimotor rhythm (SMR)-based BCI with audio-cue, motor observation and multisensory feedback post-stroke Furthermore, we discussed interaction between intensity duration in training. Twenty-four patients severe upper limb (UL) deficits were randomly assigned to two groups: 2-week SMR-BCI combined conventional treatment (BCI Group,...
Abstract Vibrotactile stimulation (VS) has been widely used as an appropriate motor imagery (MI) guidance strategy to improve MI performance. However, most vibrotactile induced by a single vibrator cannot provide spatiotemporal information of tactile sensation associated with the visual imagined motion process, not vividly providing for subjects. Methods: This paper proposed paradigm and synchronized (VSTSS) vivid help subjects perform lower-limb tasks MI-based brain-computer...
Gellan gum hydrogel holds great potential in tissue engineering, but the high phase transition temperature greatly inhibits applications biomedical field. In this study, gellan was modified with methacrylic anhydride, and then reduced. The functionalized together type I collagen gelled by ion/photo dual-cross-linking for fabricating bone marrow-derived mesenchymal stem cells (BMSCs)-encapsulating vascularization. After ratio between optimized, proper pore size mechanical properties prepared....
An injectable <italic>in situ</italic> fast-forming hydrogel was fabricated to encapsulate BMSCs for osteogenic differentiation through the inverse electron demand Diels–Alder click reaction between <italic>trans</italic>-cyclooctene-modified PEG and tetrazine-modified hyaluronic acid.
The success of complex tissue and internal organ reconstruction relies principally on the fabrication a 3D vascular network, which guarantees delivery oxygen nutrients in addition to disposal waste. In this study, rapidly forming cell-encapsulated double network (DN) hydrogel is constructed by an ultrasonically activated silk fibroin bioorthogonal-mediated polyethylene glycol network. This DN can be solidified within 10 s, its mechanical property gradually increases ∼20 kPa after 30 min....
Liver tissue engineering is going to be an effective treatment for end-stage liver disease. In this work, we distributed bone marrow mesenchymal stem cells (BMSCs) into a fast-forming hydrogel system develop liver-mimicking construct regeneration. The advantage of was that BMSC-encapsulating could formed via bioorthogonal reaction between 2-cyanobenzothiazole and cysteine within several seconds. Thereafter, explored the morphology, biocompatibility, expressions hepatic differentiation...
Hand rehabilitation in chronic stroke remains challenging, and finding markers that could reflect motor function would help to understand evaluate the therapy recovery. The present study explored whether brain oscillations different electroencephalogram (EEG) bands indicate status recovery induced by action observation-driven brain–computer interface (AO-BCI) robotic stroke. neurophysiological data of 16 patients who received 20-session BCI hand training is basis presented here....
Objective.Multi-channel electroencephalogram data containing redundant information and noise may result in low classification accuracy high computational complexity, which limits the practicality of motor imagery (MI)-based brain-computer interface (BCI) systems. Therefore, channel selection can improve BCI performance contribute to user convenience. Additionally, cross-subject generalization is a key topic MI-based BCI.Approach.In this study, an adaptive binary multi-objective harmony...
Brain-computer interface (BCI) systems based on motor imagery (MI) have been widely used in neurorehabilitation. Feature extraction applied by the common spatial pattern (CSP) is very popular MI classification. The effectiveness of CSP highly affected frequency band and time window electroencephalogram (EEG) segments channels selected.In this study, multi-domain feature joint optimization (MDFJO) multi-view learning method proposed, which aims to select discriminative features enhancing...
Collagen-based scaffolds was fabricated through covalent crosslinking, and used as 3D for promoting the osteogenic differentiation of BMSCs.
To meet the demand of innovative teaching research in machinery or relevant major, a connecting rod machine based on metamorphic mechanisms was put forward, which suitable for and experiment simultaneously, improving effectiveness. The mechanism proposed as kernel whole design, integrating multiple evolution linkage. virtual prototype technology is applied to create model. dynamic simulation topological change process carried out verify feasibility motion, two solutions reduce impact were...
For brain-computer interface (BCI) communication, electroencephalography provides a preferable choice due to its high temporal resolution and portability over other neural recording techniques. However, current BCIs are unable sufficiently use the information from time frequency domains simultaneously. Thus, we proposed novel hybrid time-frequency paradigm investigate better ways of using information.We adopt multiple omitted stimulus potential (OSP) steady-state motion visual evoked...
Background Effectively decoding electroencephalogram (EEG) pattern for specific mental tasks is a crucial topic in the development of brain-computer interface (BCI). Extracting common spatial (CSP) features from motor imagery EEG signals often highly dependent on selection frequency band and time interval. Therefore, optimizing interval would contribute to effective feature extraction accurate decoding. Objective This study proposes an approach based improved novel global harmony search...