A5056450809- Visual perception and processing mechanisms
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Tactile and Sensory Interactions
- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- Neuroscience and Neural Engineering
- High-Energy Particle Collisions Research
- Retinal Imaging and Analysis
- Blind Source Separation Techniques
- Ophthalmology and Visual Impairment Studies
- Advanced machining processes and optimization
- Game Theory and Applications
- Glaucoma and retinal disorders
- Radiation Detection and Scintillator Technologies
- Advanced Memory and Neural Computing
- Gaze Tracking and Assistive Technology
- Ocular and Laser Science Research
- VLSI and FPGA Design Techniques
- CCD and CMOS Imaging Sensors
- Algorithms and Data Compression
- Advanced Image Fusion Techniques
- Functional Brain Connectivity Studies
- Game Theory and Voting Systems
- Ergonomics and Musculoskeletal Disorders
Northwest University
2023-2025
Jiangnan University
2025
Xi'an Jiaotong University
2007-2024
University of Virginia
2012-2023
University of Science and Technology of China
2023
Chengdu Medical College
2023
Chengdu Jincheng College
2023
McCormick (United States)
2017-2018
Aviation Industry Corporation of China (China)
2016
Hebei Normal University
2008-2016
As an important paradigm of spontaneous brain-computer interfaces (BCIs), motor imagery (MI) has been widely used in the fields neurological rehabilitation and robot control. Recently, researchers have proposed various methods for feature extraction classification based on MI signals. The decoding model deep neural networks (DNNs) attracted significant attention field signal processing. Due to strict requirements subjects experimental environments, it is difficult collect large-scale...
Alzheimer's disease (AD) is the most common neurogenerative disorder, making up 70% of total dementia cases with a prevalence more than 55 million people. Electroencephalogram (EEG) has become suitable, accurate, and highly sensitive biomarker for identification diagnosis AD.In this study, public database EEG resting state-closed eye recordings containing 36 AD subjects 29 normal was used. And then, three types signal features resting-state EEG, i.e., spectrum, complexity, synchronization,...
Nowadays, more people tend to go bed late and spend their sleep time with various electronic devices. At the same time, BCI (brain−computer interface) rehabilitation equipment uses a visual display, thus it is necessary evaluate problem of fatigue avoid impact on training effect. Therefore, very important understand using devices in dark environment at night human fatigue. This paper Matlab write different color paradigm stimulations, 4K display an adjustable screen brightness jointly design...
The occurrence of mental fatigue when users stare at stimuli is a critical problem in the implementation steady-state visual evoked potential (SSVEP)-based acuity assessment, which may weaken SSVEP amplitude and signal-to-noise ratio (SNR) subsequently affect results assessment. This study aimed to explore anti-fatigue performance six stimulus paradigms (reverse vertical sinusoidal gratings, reverse horizontal square-wave brief-onset reversal checkerboards, oscillating expansion-contraction...
Objective. Motor imagery (MI) is a process of autonomously modulating the motor area to rehearse action mentally without actual execution. Based on neuroplasticity cerebral cortex, MI can promote functional rehabilitation injured cortex area. However, it usually takes several days few months train individuals acquire necessary ability control equipment in current studies, which greatly limits clinical application training systems based brain-computer interface (BCI).Approach. A novel...
In this study, we aimed to explore an objective, sensitive and quantitative measurement of interocular suppression in strabismic amblyopia. We compared 11 subjects with 12 normal vision the different response characterizations eyes, nondominant dominant eyes by using steady-state motion visual evoked potentials (SSMVEPs). Stimulation at temporal frequencies was presented two dichoptic technique. Furthermore, canonical correlation analysis (CCA), signal-to-noise ratio (SNR) some statistical...
Previous studies have reported that renal function is associated brain structure and cognitive dysfunction. However, the association between memory-related disease was not well characterized. Altogether, 5,282 individuals were included in this study based on China Longitudinal Study of Health Retirement. Four estimated glomerular filtration rate indicators (eGFR), including CG, CKD-EPIscr, CKD-EPIscr-cys, CKD-EPIcys used to evaluate disease. The multivariable-adjusted HRs (95% CIs) low eGFR...
The association between possible sarcopenia, sarcopenia and sarcopenic obesity on multimorbidity risk remains poorly investigating. We aimed to evaluate the associations prevalence incidence among middle-aged older Chinese population. A total of 13,036 participants from China Health Retirement Longitudinal Study 2011 were included in cross-sectional analyses. 5771 including longitudinal analyses followed up 2018. Sarcopenia status was defined according Asian Working Group for 2019 (AWGS...
Abstract The rapidly expanding probiotic industry demands efficient methods for quality assessment of products. We previously established a microscopic imaging and Raman spectroscopy (miRS) based approach rapid identification tests viability vitality at single‐cell resolution via spectra (SCRS), yet its wider application is limited by the throughput SCRS acquisition. Here, we employed flow cytometry (RFC) to accomplish this mission, which features greatly simplified experimental workflow...
The aim of current study was to assess the association between household solid fuel use and successful aging among Chinese ≥ 60 years age. A total 4,047 participants (2,347 men 1,700 women with average age 67.05 ± 6.05 years) from China Health Retirement Longitudinal Study 2011 were included in cross-sectional analyses. 2,517 at baseline longitudinal analyses followed up 2018. Successful defined according five components (without major diseases; without disability; high cognitive...
Objective.This study proposed and evaluated a channel ensemble approach to enhance detection of steady-state visual evoked potentials (SSVEPs).Approach.Collected multi-channel electroencephalogram signals were classified into multiple groups new analysis based on correlation analysis, each group contained from different number electrode channels. These used as the input training-free feature extraction model, obtained coefficients converted probability values using thesoftmaxfunction. The...
Steady-state visual evoked potential (SSVEP) is widely used in electroencephalogram (EEG) control, medical detection, cognitive neuroscience, and other fields. However, successful application requires improving the detection performance of SSVEP signal frequency characteristics. Most strategies to enhance signal-to-noise ratio utilize a spatial filter. Here, we propose method for image filtering denoising (IFD) from perspective analysis, as preprocessing step analysis. Arithmetic mean,...
Objective: Improving the Information Transfer Rate (ITR) is a popular research topic in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs). The higher recognition accuracy of short-time SSVEP signal critical to improving ITR and achieving high-speed SSVEP-BCIs. However, existing algorithms have unsatisfactory performance on recognizing signals, especially for calibration-free methods. Method: This study first time proposed signals based method by extending...
Bearings are common rotational units, but these monocentric units do not realize high bio-imitability in exoskeleton robots. A way to bionic motion is with an n-bar linkage mechanism within bearings, the resultant joints can become complex. Herein, we propose a joint model based on anatomy of grasshopper that consists pair conjugate surfaces and flexible connection body. An anatomical experiment involving crabs lobsters reveals proposed exists among crustaceans, which makes it general...
Brain computer interface (BCI) is a novel communication method that does not rely on the normal neural pathway between brain and muscle of human.It can transform mental activities into relevant commands to control external equipment establish direct pathway.Among different paradigms, steadystate visual evoked potential (SSVEP) widely used due its certain periodicity stability control.However, electroencephalogram (EEG) SSVEP extremely weak companied with multi-scale strong noise.Existing...
In this paper, we design a novel Poisson photon-counting based iterative successive interference cancellation (SIC) scheme for transmission over free-space optical (FSO) channels in the presence of both multiple access (MAI) as well Gamma-Gamma atmospheric turbulence fading, shot-noise and background light. Our simulation results demonstrate that proposed exhibits strong MAI suppression capability. Importantly, an order magnitude BER improvements may be achieved compared to conventional...