A5100390111- Muscle activation and electromyography studies
- EEG and Brain-Computer Interfaces
- Neuroscience and Neural Engineering
- Railway Engineering and Dynamics
- Bone Tissue Engineering Materials
- Advanced Sensor and Energy Harvesting Materials
- Hand Gesture Recognition Systems
- Functional Brain Connectivity Studies
- Stroke Rehabilitation and Recovery
- Acoustic Wave Resonator Technologies
- Gait Recognition and Analysis
- Orthopaedic implants and arthroplasty
- Neural dynamics and brain function
- Conducting polymers and applications
- Balance, Gait, and Falls Prevention
- Heart Rate Variability and Autonomic Control
- Dental Implant Techniques and Outcomes
- Structural Engineering and Vibration Analysis
- Hydraulic and Pneumatic Systems
- Medical Imaging and Analysis
- Infrastructure Maintenance and Monitoring
- Advanced Nanomaterials in Catalysis
- Structural Behavior of Reinforced Concrete
- Dielectric materials and actuators
- Hydrocarbon exploration and reservoir analysis
Beijing Institute of Radio Metrology and Measurement
2014-2024
Beijing Zhenxing Metrology & Measurement Institute
2014-2024
Hebei University
2019-2023
Shanghai Jiao Tong University
2018-2023
Peking University
2021-2023
Peking University Third Hospital
2009-2023
Jiujiang University
2023
Hubei University
2022
Nanjing Medical University
2022
Nanjing Maternity and Child Health Care Hospital
2022
Hypoxic environment is a bottleneck of photodynamic therapy (PDT) in tumor treatment, as oxygen the critical substrate for photosensitivity reaction. Herein, sustained supply system based on cerium nanoparticles and hydrogel (GHCAC) was explored enhanced synergistic PDT gas therapy. Ceria were prepared drug carrier by self-assembly mediated hyaluronic acid (HA), targeting CD44 cervical cancer cells, followed photosensitizer l-arginine (l-Arg) loading. Then, GHCAC developed incorporating...
Human-in-the-loop optimization has made great progress to improve the performance of wearable robotic devices and become an effective customized assistance strategy. However, a lengthy period (several hours) continuous walking for iterative each individual makes it less practical, especially disabled people, who may not endure this process.
Hydroxyapatite coatings were deposited on Ti-6Al-4V substrates by a novel plasma spraying process, the liquid precursor (LPPS) process. X-ray diffraction results showed that obtained LPPS process mainly composed of hydroxyapatite. The also excellent control coating microstructure, and both nearly fully dense highly porous hydroxyapatite simply adjusting solid content precursor. Scanning electron microscope observations indicated had pore size in range 10–200 µm an average porosity 48.26 ±...
The beneficial effect of a porous structure on the biological functions calcium phosphate bulk ceramic or scaffold has been well documented. Nevertheless, in vivo performance hydroxyapatite (HA) coatings rarely reported, partly due to difficulty synthesizing HA suitable for commercial applications. In this study, we have carried out systematic study HA-coated Ti implants (with and without surface modification) prepared by liquid precursor plasma spraying process, terms its osteoconductivity...
An important challenge in the study of functional corticomuscular coupling (FCMC) is an accurate capture relationship between cerebral cortex and effector muscle. The coherence method a linear analysis method, which has certain limitations further revealing nonlinear neural signals. Although mutual information (MI) transfer entropy (TE) based on theory can both correlations, equitability these algorithms ignored components correlation cannot be separated. maximal coefficient (MIC) suitable...
Objective.The combination of the motor imagery (MI) electroencephalography (EEG) signals and deep learning-based methods is an effective way to improve MI classification accuracy. However, often need too many trainable parameters. As a result, trade-off between network decoding performance computational cost has always been important challenge in research.Approach.In present study, we proposed new end-to-end convolutional neural (CNN) model called EEG-circular dilated convolution (CDIL)...
Gait movement is an important activity in daily human life. The coordination of gait directly affected by the cooperation and functional connectivity between muscles. However, mechanisms muscle operation at different speeds remain unclear. Therefore, this study addressed speed effect on changes cooperative modules To end, surface electromyography (sEMG) signals were collected from eight key lower extremity muscles twelve healthy subjects walking a treadmill high, middle, low motion speeds....
Abstract Background The key challenge to constructing functional corticomuscular coupling (FCMC) is accurately identify the direction and strength of information flow between scalp electroencephalography (EEG) surface electromyography (SEMG). Traditional TE TDMI methods have difficulty in identifying interaction for short time series as they tend rely on long stable data, so we propose a time-delayed maximal coefficient (TDMIC) method. With this method, aim investigate directional...
The immersion method in which metal ions were used to toughen macromolecular chains avoid the failure of hydrogel synthesis due rapid formation coordination bonds gel precursor was often develop a robust gel. However, uneven distribution inside harmful for its sensing performance by soaking. Herein, polyacrylamide/gelatin/ZrOCl2·8H2O (PG-Zr4+) developed straightforward strategy gelatin with Zr4+. PG-Zr4+ held not only high transparency (73%), fracture strength (0.842 MPa), and outstanding...
This article investigates the volume change law of trapped fluid in meshing process and flow characteristics external gear pumps under following two cases: pump design with without relief groove. In this study, a mathematical modeling pairs is deduced based on theory complete set equations tooth profile, rate equation derived conservation mass across changing boundaries control volume. During process, function displacement established, which formed by parts: space addition, using approach,...
<abstract> <p>The maturity of human-computer interaction technology has made it possible to use surface electromyographic signals (sEMG) control exoskeleton robots and intelligent prostheses. However, the available upper limb rehabilitation controlled by sEMG have shortcoming inflexible joints. This paper proposes a method based on temporal convolutional network (TCN) predict joint angles sEMG. The raw TCN depth was expanded extract features save original information. timing...
Objective.Standing balance forms the basis of daily activities that require integration multi-sensory information and coordination multi-muscle activation. Previous studies have confirmed cortex is directly involved in control, but little known about neural mechanisms cortical muscle maintaining standing balance.Approach.We used a direct directed transfer function (dDTF) to analyze changes connections healthy subjects (15 subjects: 13 male 2 female) corresponding different tasks.Main...
Gait recognition is an emerging biometric technology that can be used to protect the privacy of wearable device owners. To improve performance existing gait method based on devices and reduce memory size model increase its robustness, a new identification multimodal fusion cycle data proposed. In addition, preserve time-dependence correlation data, we convert time-series into two-dimensional images using Gramian angular field (GAF) algorithm. address problem high complexity in methods,...
With the continuous development of sensor and computer technology, human-computer interaction technology is also improving. Gesture recognition has become a research hotspot in interaction, sign language recognition, rehabilitation training, sports medicine. This paper proposed method hand gestures which extracts time domain frequency features from surface electromyography (sEMG) by using an improved multi-channels convolutional neural network (IMC-CNN). The 10 most commonly used are...