A5016250989- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Mental Health Research Topics
- Medical Image Segmentation Techniques
- stochastic dynamics and bifurcation
- Medical Imaging and Analysis
- Noise Effects and Management
- Electrical and Bioimpedance Tomography
- Neuroscience and Music Perception
- Parkinson's Disease Mechanisms and Treatments
- Dental Radiography and Imaging
- Sleep and Work-Related Fatigue
- Elevator Systems and Control
- Neurological disorders and treatments
- ECG Monitoring and Analysis
- Mind wandering and attention
- Image and Signal Denoising Methods
- Advanced X-ray and CT Imaging
- Neural Networks and Applications
- Machine Learning in Healthcare
Hebei University of Technology
2004-2024
Excessive gaming can lead to disorder, which affects the function and structure of brain. In order diagnose disorders, it is importance understand how behavior brain activity patterns whether there exist differences in effects on different individuals. Electroencephalogram (EEG) microstate reflects a transiently stable topological with spatiotemporal characteristics, spatial characteristic classes temporal parameters provide insight into brain's functional activities disorders. explore...
Binaural beats (BB), in which pure tones are delivered at fixed frequency, seek to influence neural activity during cognitive tasks and induce frequency-following response can entrain brain rhythms the frequency of external stimulation. An increasing number studies have suggested that BB be used alter or enhance processes. This study aimed explore effect 40 Hz binaural on working memory. In addition further verifying whether there was a response, changes microstates were observed, providing...
In the fields of affective computing (AC) and brain-machine interface (BMI), analysis physiological behavioral signals to discern individual emotional states has emerged as a critical research frontier. While deep learning-based approaches have made notable strides in EEG emotion recognition, particularly feature extraction pattern significant challenges persist achieving end-to-end computation, including real-time processing, adaptation, seamless user interaction. This paper presents...
Several aspects in the numerical analysis system of electroencephalography (EEG) are discussed this paper. Based on improved vector flow snakes and dynamic template method, boundaries different region MRI image extracted. Using boundary element forward computation EEG is investigated acceptable results obtained. The paper also proposes a method based LORETA-FOCUSS to estimate current density inside brain with high spatial resolution. From simulated experiments, it turned out that proposed...
The work here presents an abnormal EEC simulation by using the electrophysiological model of neuron. spike wave and multi-spike EEG morphology are reconstructed. is derived from Chay model, which describes process in excitable neuron via bifurcation. process, that spiking can be transformed into bursting rapidly, observed some disorder nerve system, such as epileptic seizure. simulated step changes bifurcation parameter, proportion to concentration intracellular calcium ions (|Ca| <sub...
Abstract Background Research has shown that a fundamental frequency of 40 Hz in continuous neural oscillation is indicative normal brain activity; Alzheimer disease (AD) patients, these oscillations either disappear or are significantly interrupted. also indicated the degenerative impacts AD mice were mitigated by synchronization 40-Hz acousto-optic stimulation (AOS). Objective To examine impact employing AOS intervention on induction substantial entrainment and improvement working memory...