A5100701606- EEG and Brain-Computer Interfaces
- Brain Tumor Detection and Classification
- Blind Source Separation Techniques
- Neural dynamics and brain function
- Thyroid Cancer Diagnosis and Treatment
- Spaceflight effects on biology
- Pressure Ulcer Prevention and Management
- Electromagnetic Fields and Biological Effects
- Cardiovascular and exercise physiology
- Genetic Associations and Epidemiology
- Infrared Thermography in Medicine
- BRCA gene mutations in cancer
- Cardiac Health and Mental Health
- AI in cancer detection
- Functional Brain Connectivity Studies
- Traditional Chinese Medicine Studies
- Thermoregulation and physiological responses
- Cardiovascular Health and Risk Factors
Wenzhou Medical University
2021
First Affiliated Hospital of Wenzhou Medical University
2021
Henan University
2021
Beijing Technology and Business University
2019
PLA 306 Hospital
2015
Qilu Hospital of Shandong University
2014
Shanghai Medical College of Fudan University
2013
Fudan University Shanghai Cancer Center
2013
Effective common spatial pattern (CSP) feature extraction for motor imagery (MI) electroencephalogram (EEG) recordings usually depends on the filter band selection to a large extent. Subband optimization has been suggested enhance classification accuracy of MI. Accordingly, this study introduces new method that implements sparse Bayesian learning frequency bands (named SBLFB) from EEG MI classification. CSP features are extracted set signals generated by bank with multiple overlapping...
A woman in her early 60s with hypertension and hyperlipidemia was undergoing investigations for anemia of unknown etiology. She developed a sudden reduction visual acuity bilateral field impairment. MRI angiography revealed acute infarcts the posterior circulation severe narrowing left vertebral artery origin. Digital subtraction demonstrated high-grade stenosis origin thrombus just distal to stenosis. The patient recurrent while on antithrombotic therapy. lesion successfully treated by...
There is limited and inconclusive evidence that space environment, especially microgravity condition, may affect microstructure of human brain. This experiment hypothesized there would be modifications in gray matter (GM) white (WM) the brain due to microgravity.Eighteen male volunteers were recruited fourteen underwent -6° head-down bed rest (HDBR) for 30 days simulated microgravity. High-resolution anatomical imaging data diffusion tensor images collected on a 3T MR system before after...
Hospital-acquired pressure injury is difficult to identify in the early stage, accompanied with increased morbidity but considered be preventable. For helping nurses monitor status of patients' skin, infrared thermal imaging and convolutional neural networks were integrated prevent injury. In first images shoot labelled normal group by clinical nurses. second two machine learning algorithms, random forest support vector machine, applied classify these classes collected images. The...
Abstract Purpose: With the increasing application of artificial neural network technology in medical diagnosis and health risk prediction, model sports medicine integration based on ANNs prediction will provide an operable new idea for development China. Method: This study takes more common atherosclerosis as example uses analysis to predict disease 1109 patients, explores effect physical activity predicting models, ideas medicine. Results: The LSTM has a good predictive realizing level...
With the vigorous development of computer and pattern recognition technologies, using magnetic resonance imaging (MRI) machine learning methods to assist diagnosis Alzheimer's disease (AD) has became a research hotspot. A new method based on Support Vector Machine-Recursive Feature Elimination (SVM-RFE) Linear Discriminant Analysis (LDA) for aided AD is proposed in this study. Firstly, Structural MRI images including 34 patients with AD, 26 subjects subjective memory complaints (SMC) 50...