A5101754237- EEG and Brain-Computer Interfaces
- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Memory and Neural Mechanisms
- Gaze Tracking and Assistive Technology
- Bioinformatics and Genomic Networks
- Automotive and Human Injury Biomechanics
- Medical Imaging and Analysis
- SARS-CoV-2 and COVID-19 Research
- Blind Source Separation Techniques
- Advanced Algorithms and Applications
- Spine and Intervertebral Disc Pathology
- Computational Drug Discovery Methods
- Neurological Disease Mechanisms and Treatments
- Medicinal Plants and Neuroprotection
- Olfactory and Sensory Function Studies
- Muscle activation and electromyography studies
Hebei University of Technology
2023
Xuzhou Medical College
2015-2022
Chinese Academy of Sciences
2020
Institute of Computing Technology
2020
The motor imagery electroencephalography (MI-EEG) reflects the subjective intention, which has received increasing attention in rehabilitation. How to extract features of MI-EEG accurately and quickly is key its successful application. Based on analysis comparison existing feature extraction algorithms, a method based principal component (PCA) deep belief networks (DBN) proposed, namely PCA-DBN. Firstly, second-order moment used analyze time-domain MI-EEG, select effective time interval....
Abstract Faced with the current large-scale public health emergency, collecting, sorting, and analyzing biomedical information related to “coronavirus” should be done as quickly possible gain a global perspective, which is basic requirement for strengthening epidemic control capacity. However, human researchers studying viruses hosts, vast amount of available cannot processed effectively in timely manner, particularly when scientific understanding may limited, can further lower processing...
Abstract Aiming at the existing problems of BCI (brain computer interface), such as single input signal source, low accuracy feature recognition, and less output control instructions, this paper proposes a robotic arm system based on EEG (electroencephalogram) EMG (electromyogram) mixed signals. The flow is follows: Firstly, unilateral left right hand motor imagery collected synchronously. Then signals are extracted classified, corresponding classification instructions obtained. Finally,...
Human lumbar spine will produce a certain deformation with forward bending. Once the pressure and torque are too large, it cause serious health hazards to human body, such as deformation. CT scans of healthy male vertebra body weight 65kg were selected imported into Mimics software, in which plane scan data converted dioramas. And then models Geomagic Studio and, including pruning stitching curved surfaces. These optimized graphics Solidworks sepreate cortical cancellous bones,...
To solve the problem of optimal wavelet basis selection in motor imagery electroencephalogram (MI-EEG) denoising by transform, based on analysis parameters and characteristics, combined with characteristics MI-EEG, we summarized suitable for MI-EEG denoising. Signal to noise ratio (SNR) root mean squared error (RMSE) are introduced as evaluation criteria signal effect, it is concluded that bior rbio functions better at among 7 types clusters. Among them, rbio2.2 most The comparison...