A5022142068- EEG and Brain-Computer Interfaces
- Computational Fluid Dynamics and Aerodynamics
- Sleep and Work-Related Fatigue
- Obstructive Sleep Apnea Research
- Perovskite Materials and Applications
- Heart Rate Variability and Autonomic Control
- Conducting polymers and applications
- Organic Light-Emitting Diodes Research
- Temporomandibular Joint Disorders
- Non-Invasive Vital Sign Monitoring
- Functional Brain Connectivity Studies
- Advanced Numerical Methods in Computational Mathematics
- Sleep and Wakefulness Research
- Lattice Boltzmann Simulation Studies
- Fluid Dynamics and Turbulent Flows
- Fluid Dynamics Simulations and Interactions
- Quantum Dots Synthesis And Properties
- Neural dynamics and brain function
- Human-Automation Interaction and Safety
- Laser-induced spectroscopy and plasma
- Fluid Dynamics and Heat Transfer
- Semiconductor Lasers and Optical Devices
- Organic Electronics and Photovoltaics
- Thin-Film Transistor Technologies
- Gas Dynamics and Kinetic Theory
Hanshan Normal University
2021-2025
Anshan Normal University
2021-2025
Kunming University of Science and Technology
2023
Second People's Hospital of Yunnan Province
2023
Nanjing University of Aeronautics and Astronautics
2008-2023
University of Shanghai for Science and Technology
2020-2021
Jilin Normal University
2007-2021
ShanghaiTech University
2021
Guilin University of Electronic Technology
2021
University of North Dakota
2019
Abstract Background In the classification of bruxism patients based on electroencephalogram (EEG), feature extraction is essential. The method using multi-channel EEG fusing electrocardiogram (ECG) and Electromyography (EMG) signal features has been proved to have good performance in classification, but single channel still understudied. We investigate efficacy classification. Methods extracted time-domain, frequency-domain, nonlinear from classify bruxism. Five common bipolar recordings 2 4...
Introduction Sleep apnoea syndrome (SAS) is a serious sleep disorder and early detection of not only reduces treatment costs but also saves lives. Conventional polysomnography (PSG) widely regarded as the gold standard diagnostic tool for apnoea. However, this method expensive, time-consuming inherently disruptive to sleep. Recent studies have pointed out that ECG analysis simple effective apnea, which can effectively provide physicians with an aid diagnosis reduce patients’ suffering....
Electroencephalogram (EEG) microstates are pivotal in understanding brain dynamics, reflecting transitions between global states. These parameters undergo selective inhibition within cortical areas, modulated by alpha oscillations. This study investigates how band power influences microstate across various task conditions, including resting state, actual motor execution, and imagined tasks. By comparing these three we aim to elucidate the distinct effects of on as each condition represents a...
Drowsiness detection has a significant importance in aviation industry. Electroencephalogram (EEG) been extensively studied to characterize drowsiness; nevertheless, its behavior with respect accurately annotated drowsy periods remains be investigated. At present, Karolinska Sleepiness Scale and psychomotor vigilance task are widely used references for subjective drowsiness analysis. However, their practical application real-time monitoring of alertness is limited. To address this...
An intelligent Internet-of-Things (IoT) hardware system in the field tea plantations was built, comprising collection of images by HD zoom cameras a cluster structure and deployment detection model cluster-head edge computing nodes. Data sent to customer premise equipment through nodes gateways then cloud platforms, which provided platform for identifying remote disease online. Field-placed were used as main acquisition means study various diseases on Yashixiang, typical variety Chaozhou...
Inspired and guided by the structural characteristics degradation kinetics of a low-dimensional perovskite (LDP) film, an effective self-passivation strategy is proposed to fabricate high-performance LDP based solar cells.
The electroencephalogram (EEG) has recently emerged as a pivotal tool in brain imaging analysis, playing crucial role accurately interpreting functions and states. To address the problem that presence of ocular artifacts EEG signals patients with obstructive sleep apnea syndrome (OSAS) severely affects accuracy staging recognition, we propose method integrates support vector machine (SVM) genetic algorithm (GA)-optimized variational mode decomposition (VMD) second-order blind identification...
Drowsiness is a transition of psychophysiological state from alert towards sleep causing degradation in concentration, thereby increasing the response time. Drowsy driving one leading causes accidents transportation sector. An on-board warning system which helps drivers with essential feedback about onset drowsiness by continuously monitoring divers' can help to reduce drowsy related accidents. Physiological signals are found be most effective for continuous and better detection drowsiness....
Formamidinium (FA)-based perovskite material holds great potential to deliver highly efficient commercial solar cells. However, the FA-based films are commonly processed under a strictly controlled environment, which would eventually hinder their way commercialization. Herein, systematic study is conducted investigate sequential deposition of that annealed ambient conditions. Unexpectedly, prepared in low humidity condition possess less pinholes and defects exhibit better device performances...
Abstract: Solid bitumens were found throughout the carbonate reservoirs in Puguang gas field, largest field so far marine carbonates China, confirming that evolved from a paleo‐oil reservoir. The fluid conduit system at time of intensive oil accumulation was reconstructed, and petroleum migration pathways modeled using 3‐D model traced by geochemical parameters. forward modeling inversion tracing coincided with each other both indicated oils accumulated Puguang‐Dongyuezhai structure...
Obstructive sleep apnea (OSA) is a common respiratory disease. Previous studies have found that the wakefulness electroencephalogram (EEG) of OSA patients has changed, such as increased EEG power. However, whether microstates reflecting transient state brain abnormal unclear during obstructive hypopnea (OH). We investigated in 100 patients. Then correlation analysis was carried out between microstate parameters and markers disturbance, power spectrum, sample entropy detrended fluctuation...
Interfacial engineering is crucial for perovskite solar cells (PSCs) to ensure efficient charge carrier transfer, and pivotal device performances. Herein, a novel cross‐linked PCBM (CL‐PCBM) interlayer at the perovskite/electron transport layer (ETL) interface of methylammonium‐free PSC incorporated. The dimeric prepared using facile UV cross‐linking technique concurrently improves quality resultant film transfer capability ETL, leading significantly enhanced photovoltaic In addition,...
This paper presents a method for classification of microsleep (MS) from baseline utilizing linear and non-linear features derived electroencephalography (EEG), which is recorded five brain regions: frontal, central, parietal, occipital, temporal. The EEG acquired sixteen commercially-rated pilots during the window circadian low (2:00 am-6:00 am). MS events are annotated using Driver Monitoring System further verified electrooculogram (EOG). A total 55 extracted EEG. subset these then...
In this paper, two unequal-sized weighted essentially non-oscillatory (US-WENO) schemes are proposed for solving hyperbolic conservation laws. First, an alternative US-WENO (AUS-WENO) scheme based directly on the values of conserved variables at grid points is designed. This can inherit all advantages original [J. Zhu and J. Qiu, “A new fifth order finite difference WENO laws,” Comput. Phys. 318, 110–121 (2016).], such as arbitrariness linear weights. Moreover, presented AUS-WENO enables any...
Self-driven photodetectors are essential for many applications where it is unpractical to provide or replace power sources. Here, we report a new device architecture self-driven with tunable asymmetric Schottky junctions based on nanomesh electrode. The vertical-channel scaffold composed of hexagonally ordered nanoelectrode array fabricated via the nanosphere lithography technique. top and bottom nanoelectrodes separated by only 30 nm areal ratio two can be fine-tuned, which effectively...
Substance addiction is a chronic disease which causes great harm to modern society and individuals. At present, many studies have applied EEG analysis methods the substance detection treatment. As tool describe spatio-temporal dynamic characteristics of large-scale electrophysiological data, microstate has been widely used, an effective method study relationship between electrodynamics cognition or disease.To difference parameters nicotine addicts at each frequency band, we combine improved...
In this paper, we develop a novel fast iterative moment method for the steady-state simulation of near-continuum flows, which are modeled by high-order system derived from Boltzmann-BGK equation. The convergence present is mainly achieved alternately solving and hydrodynamic equations with compatible constitutive relations boundary conditions. To be specific, solved in each iteration to get improved predictions macroscopic quantities, subsequently utilized expedite evolution system....