A5100385951- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neuroscience and Neural Engineering
- Blind Source Separation Techniques
- Gaze Tracking and Assistive Technology
- Neurological disorders and treatments
- Digital Media Forensic Detection
- Muscle activation and electromyography studies
- Electrochemical sensors and biosensors
- Generative Adversarial Networks and Image Synthesis
- Antioxidants, Aging, Portulaca oleracea
- Genomic variations and chromosomal abnormalities
- Image Enhancement Techniques
- Hydrogen's biological and therapeutic effects
- Parkinson's Disease Mechanisms and Treatments
- Advanced Image Processing Techniques
- Engineering Diagnostics and Reliability
- Image Processing Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Industrial Engineering and Technologies
- Advanced Nanomaterials in Catalysis
- Dementia and Cognitive Impairment Research
- Nerve injury and regeneration
- Advanced Sensor and Control Systems
- Advanced Thermodynamics and Statistical Mechanics
Beijing Aerospace Flight Control Center
2017-2024
BGI Group (China)
2024
Jiaozuo University
2024
Qingdao University of Science and Technology
2024
Capital Medical University
2023-2024
Beijing Anding Hospital
2023-2024
Nanjing Medical University
2018-2023
Jiangsu Province Hospital
2023
Liaoning University of Traditional Chinese Medicine
2023
Second Affiliated Hospital of Zhejiang University
2022
Epileptic seizure detection is commonly implemented by expert clinicians with visual observation of electroencephalography (EEG) signals, which tends to be time consuming and sensitive bias. The epileptic in most previous research suffers from low power unsuitability for processing large datasets. Therefore, a computerized method highly required eradicate the aforementioned problems, expedite epilepsy aid medical professionals. In this work, we propose an automatic diagnosis framework based...
Abstract Objective In this randomized, double‐blind, sham‐controlled trial, we explored the effect of 20 Hz transcutaneous auricular vagus nerve stimulation (taVNS) on gait impairments in Parkinson's disease (PD) patients and investigated underlying neural mechanism. Methods total, 22 PD 14 healthy controls were enrolled. randomized (1:1) to receive active or sham taVNS (same position as group but without releasing current) twice a day for 1 week. Meanwhile, all subjects measured activation...
Nanozymes, a distinctive class of nanomaterials with enzyme-like activity and kinetics akin to enzyme-catalysed reactions, present several advantages over natural enzymes, including cost-effectiveness, heightened stability, adjustable activity.
Rapid serial visual presentation (RSVP)-based brain-computer interface (BCI) is a promising target detection technique by using electroencephalogram (EEG) signals. However, existing deep learning approaches seldom considered dependencies of multi-scale temporal features and discriminative multi-view spectral simultaneously, which limits the representation ability model undermine EEG classification performance. In addition, recent transfer learning-based methods generally failed to obtain...
Recognizing visual objects from single-trial electroencephalograph (EEG) signals is a promising brain-computer interface technology. However, due to the redundant features noisy multichannel EEG signals, it still challenging task achieve high precision recognition. Recent deep learning approaches commonly extract spatio-temporal of which neglect important spectral-temporal and may degrade recognition performance. To address deficiency, we propose novel channel attention weighting multilevel...
In the last few years, artifact patterns in fake images synthesized by different generative models have been inconsistent, leading to failure of previous research that relied on spotting subtle differences between real and fake. our preliminary experiments, we find artifacts always change with development model, while natural exhibit stable statistical properties. this paper, employ traces shared only as an additional target for a classifier. Specifically, introduce self-supervised feature...
The absence of heterozygosity (AOH) is a kind genomic change characterized by long contiguous region homozygous alleles in chromosome, which may cause human genetic disorders. However, no method low-pass whole genome sequencing (LP-WGS) has been reported for the detection AOH setting less than onefold. We developed method, termed CNVseq-AOH, predicting using LP-WGS with ultra-low data, overcomes sparse nature typical data combing population-based haplotype information, adjustable sliding...
Abstract Objectives This study aimed to investigate the mechanism of cognitive control impairment in patients with schizophrenia (SPs) using electroencephalogram (EEG). Methods A total 17 SPs and healthy controls (HCs) were included this study. We measured EEG activity, whereas they performed AX‐continuous performance test which consisted preparatory phase response phase. The MATRICS Consensus Cognitive Battery (MCCB) was used for function, Positive Negative Syndrome Scale (PANSS) clinical...
Electroencephalogram (EEG) is one of the most effective and essential tools for analyzing diagnosing epilepsy. However, there a challenging task detecting seizures from EEG signals, which due to non-stationary nature signals. This paper proposes novel automatic signal recognition method assist epilepsy detection. Specifically, multi-wavelet basis function (MWBF) expansion first adopted construct time-varying autoregressive (TVAR) model robust ultra-orthogonal least squares (UOLS) algorithm...
A new isoindole alkaloid, 6-hydroxy-2-(4'''-hydroxy-3'''-methoxyphenethyl)-4-(4'-hydroxy-3'-methoxyphenyl)-7-methoxy-1H-benzo[f]isoindole-1,3(2H)-dione, named oleraisoindole B was isolated from Portulaca oleracea L., its structure elucidated using NMR and UHPLC-ESI-Q-TOF/MS spectroscopic methods, presented anti-inflammatory activity at 5 μM.
In the last few years, generative models have shown their powerful capabilities in synthesizing realistic images both quality and diversity (i.e., facial images, natural subjects). Unfortunately, artifact patterns fake synthesized by different are inconsistent, leading to failure of previous research that relied on spotting subtle differences between real fake. our preliminary experiments, we find artifacts always change with development model, while exhibit stable statistical properties....
In this paper, we propose a novel single image enhancement technique for defogging by using dark channel prior. The traditional prior methods have problems of high time complexity, edge effect, and failure To overcome the complexity firstly, four-point weighting algorithm is proposed to estimate atmospheric light value accurately, used rough transmittance. Then, gray-scale input refine After that, an scattering model designed restore fog-free image. solve problem that can not process...
Background: More and more evidence suggests that dopamine receptor D3 gene (DRD3) plays an important role in the clinical manifestations treatment of Parkinson's disease (PD). DRD3 Ser9Gly polymorphism is most frequently studied variant point. Our aim was to investigate potential effect on modulating resting-state brain function associative PD patients.
Quantum process may conduce to brain function. Particularly, it was proposed that the Posner molecules, Ca g (PO 4 ) 6 , can serve as neural qubits, which maintain quantum entanglement between phosphorus nuclei for quite a long time. We study from entangled molecules synchronized activities of brain. A diffusion model with appropriate boundary conditions and mean first arriving time one area another are obtained. establish linkages connectivity remaining before decoherence. Based on these...