A5083800621- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Network Security and Intrusion Detection
- Balance, Gait, and Falls Prevention
- Cerebral Palsy and Movement Disorders
- Diabetic Foot Ulcer Assessment and Management
- Advanced Malware Detection Techniques
- Anomaly Detection Techniques and Applications
University of Electronic Science and Technology of China
2019-2020
The existing network intrusion detection methods have less label samples in the training process, and accuracy is not high. In order to solve this problem, paper designs a method based on GAN model by using adversarial idea contained GAN. enhances original set continuously generating samples, which expanding sample set. realize multi-classification of transforms previous binary classification generated into supervised learning model. loss function redefined, so that corresponding parameter...
Recent studies have shown that balance performance assessment based on artificial intelligence (AI) is feasible. However, control very complex and requires different subsystems to participate, which not been evaluated individually yet. Furthermore, these only classified individual's across limited grades. Therefore, in this study we attempted implement AI precisely evaluate types of (BCSes). First, a total 224 commonly used newly developed features were extracted from the center pressure...
Objective: Previous studies have already shown that electroencephalography (EEG) brain network (BN) can reflect the health status of individuals. However, novel methods are still needed for BN analysis. Therefore, in this study, BNs were constructed based on stable and unstable EEG components, these may be implemented disease diagnosis. Methods: Parkinson's (PD) was used as an example to illustrate method. First, signals decomposed into dynamic modes (DMs). Each DM contains one eigenvalue...
Abstract In the resting state (closed or open eyes) electroencephalogram (EEG) and magnetoencephalogram (MEG) exhibit rhythmic brain activity is typically 10 Hz alpha rhythm. It has a topographic frequency spectral distribution that is, quite similar for both modalities--something not surprising since EEG MEG are generated by same basic oscillations in thalamocortical circuitry. However, different physical aspects underpin two types of signals. Does this difference lead to reconstructed...