A5025143533- Complex Systems and Time Series Analysis
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Chaos control and synchronization
- Neuroscience and Neural Engineering
- Neural Networks and Applications
- Time Series Analysis and Forecasting
- Fractal and DNA sequence analysis
- Machine Fault Diagnosis Techniques
- Evolutionary Algorithms and Applications
- Gaze Tracking and Assistive Technology
- Fractional Differential Equations Solutions
- Target Tracking and Data Fusion in Sensor Networks
- Lubricants and Their Additives
- Bone Tissue Engineering Materials
- Nerve injury and regeneration
- Power Quality and Harmonics
- Advanced Measurement and Detection Methods
- Statistical Mechanics and Entropy
- Mental Health Research Topics
- Visual perception and processing mechanisms
- Functional Brain Connectivity Studies
- Nonlinear Dynamics and Pattern Formation
- Gear and Bearing Dynamics Analysis
- Energy Load and Power Forecasting
Xi'an Jiaotong University
2011-2024
Xi'an Honghui Hospital
2024
Abstract Bearings are key components in mechanical equipment, which widely used various fields such as automobiles and airplanes. Aiming at the analysis of vibration signal processing under variable speed condition bearings, this paper proposes a new bearing fault diagnosis method, firstly resamples signals angular domain, then converts resampled into images by relative position matrix finally uses transfer learning to automatically extract features classify them. To verify effectiveness it...
Bone tissue engineering considers bone scaffolds as a key method for repairing critical-sized defects. Bone's unique combination of organic and inorganic elements, porous structure, mechanical strength is crucial. However, many artificial overlook the potential disruption to natural repair process, hindering clinical translation. We propose biomimetic perspective design that closely replicate bone's composition, strength, physiological process repair. The across four dimensions significantly...
Steady-state visual evoked potential (SSVEP) is widely used in brain computer interface (BCI), medical detection, and neuroscience, so there significant interest enhancing SSVEP features via signal processing for better performance. In this study, an image method was combined with analysis a sharpening filter to extract details the enhancement of features. The results demonstrated that could eliminate trend term suppress its low-frequency component. Meanwhile, effectively enhanced...
The refresh rate is one of the important parameters visual presentation devices, and assessing effect a device on motion perception has always been an direction in field research. This study examined response at different stimulation frequencies provided objective electrophysiological assessment method for correct selection display experiment. In this study, flicker-free steady-state with continuous scanning frequency forms (sinusoidal or triangular) was presented low-latency LCD monitor...
As a novel form of visual analysis technique, the Poincaré plot has been used to identify correlation patterns in time series that cannot be detected using traditional methods. In this work, based on nonextensive EEG, distribution entropy (NDE) is proposed solve problem insufficient discrimination ability (DE) analyzing fractional Brownian motion with different Hurst indices. More specifically, firstly, reasons for failure DE are analyzed; secondly, view parameter, distance between sector...
The combination of BCI technology and stereoscopic three-dimensional (3D) display has gradually become a trend, while stereo-based been used in rehabilitation training medical testing. However, present research mainly stays the static stereo environment, main method visual stimulation is flickering, which does not effectively utilize characteristic technology. Therefore, we proposed novel based on motion. It utilized reciprocating motion plane intensive line to elicit steady-state evoked...
The complex network nature of human brains has led an increasing number researchers to adopt a assess the cognitive load. method constructing networks direct impact on assessment results. During process using cross-permutation entropy (CPE) construct for load assessment, it is found that CPE shortcomings ignoring transition relationship between symbols and analysis results are vulnerable parameter settings. In order address this issue, new based principle proposed by combining advantages...
This paper presents a novel approach to the phase space reconstruction technique, fractional-order (FOSS), which generalizes traditional integer-order derivative-based method. By leveraging fractional derivatives, FOSS offers perspective for understanding complex time series, revealing unique properties not captured by conventional methods. We further develop multi-span transition entropy component method (MTECM-FOSS), an advanced complexity measurement technique that builds upon FOSS....
Motor current signal analysis is a common method that can be applied to the monitoring and diagnosis of electromechanical equipment. Three-phase unbalance will increase line power loss affect safe operation power-using To quickly analyze motor three-phase unbalance, we propose by calculating coefficient variation current’s instantaneous frequency amplitude. Simulations were conducted effects amplitude deviation phase on The with continuous change was simulated its performance analyzed....
To evaluate the synchronization of bivariate time series has been a hot topic, and number measures have proposed. In this work, by introducing ordinal pattern transition network into crossplot, new method for measuring is After crossplot partitioned coded, coded partitions are defined as nodes directed weighted constructed based on temporal adjacency nodes. The entropy proposed an indicator between two series. test characteristics performance method, it used to analyse unidirectional coupled...
Synchronous analysis of Electroencephalogram (EEG) and Electromyography (EMG) signals can reflect the information transport function motor nerve. Symbol phase transfer entropy was a further improvement entropy. It applied to synchronous EEG EMG signal evaluate performance cortical muscle coupling. The EEG/EMG recorded synchronously at different strength were decomposed into uniform narrow band oscillations using harmonic wavelet transform. corresponding SPTEs calculated summed, significant...
In this paper, multi-scale Lempel-Ziv complexity algorithm was introduced to analyze brain states. The performance of the tested using EEG data and compared conventional algorithm. coefficient variation mean variance ratio results calculated complexities Lemple-Ziv were lower than By applying at quiescent state, playing poker game state digital we proved that is more capable extracting rhythm feature in signals can distinguish three states easily.
Abstract Objective. The absence of intuitive control in present myoelectric interfaces makes it a challenge for users to communicate with assistive devices efficiently real-world conditions. This study aims tackle this difficulty by incorporating neurophysiological entities, namely muscle and force synergies, onto multi-finger estimation allow control. Approach . Eleven healthy subjects performed six isometric grasping tasks at three contraction levels. exerted fingertip forces were...
The cross-correlation between the electroencephalogram (EEG) and surface electromyography (sEMG) has important research value both in human-robot integration intelligent rehabilitation robots. purpose of this study is to explore relationship EEG sEMG when different trends. asymmetric states were analyzed by using multifractal detrended cross correlation analysis (MF-ADDCA) method. synchronous process tracking feedback force analyzed. In order investigate dynamic degree, rolling window...