A5060581255- Heart Rate Variability and Autonomic Control
- EEG and Brain-Computer Interfaces
- Manufacturing Process and Optimization
- Non-Invasive Vital Sign Monitoring
- Functional Brain Connectivity Studies
- Neonatal and fetal brain pathology
- Sleep and related disorders
- Circadian rhythm and melatonin
- Cardiovascular and exercise physiology
- Product Development and Customization
- Congenital Heart Disease Studies
- Advanced Algorithms and Applications
- Advanced Chemical Sensor Technologies
- Dermatology and Skin Diseases
- Network Security and Intrusion Detection
- Vascular anomalies and interventions
- Phonocardiography and Auscultation Techniques
- 3D Shape Modeling and Analysis
- Design Education and Practice
- Dietary Effects on Health
- Spaceflight effects on biology
- Neuroscience of respiration and sleep
- Image Processing and 3D Reconstruction
- Simulation and Modeling Applications
- Allergic Rhinitis and Sensitization
China Electronics Technology Group Corporation
2023
University of Chinese Academy of Sciences
2018-2022
Shandong Jianzhu University
2016-2020
First Hospital of Shanxi Medical University
2020
Shanxi Medical University
2020
Northwest Institute of Nuclear Technology
2016
Case Western Reserve University
2007
Sports performance and health monitoring are essential for athletes to maintain peak avoid potential injuries. In this paper, we propose a sports system that utilizes wearable devices, cloud computing, deep learning monitor the status of persons. The consists device collects various physiological parameters server contains model predict sportsperson's status. proposed combines Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), self-attention mechanisms. is trained on large...
Automatic identification of the rhythm/morphology abnormalities in ECGs has gained growing attention various areas and remains a challenge. We propose an algorithm to classify 12-lead into 9 categories. extracted expert features including generic specific with statistics physiology significance. Then 17-layer Convolutional Neural Network (CNN) was proposed detect deep ECGs. With these we trained ensemble classifiers predict labels. Experiment on training set (5-fold cross-validation) reports...
Purpose The implied assembly constraints of a computer-aided design (CAD) model (e.g. hierarchical constraints, geometric and topological constraints) represent an important basis for product sequence intelligent planning. Assembly prior knowledge contains factual experience knowledge, which are factors This paper aims to improve monotonous planning rigid product, sequences based on spatio-temporal semantic is proposed. Design/methodology/approach A information established. internal data the...
Respiratory sinus arrhythmia (RSA) represents a physiological phenomenon of cardiopulmonary interaction. It is known as measure efficiency the circulation system, well biomarker cardiac vagal and wellbeing. In this article, RSA modeled modulation heart rate by respiration in an interactive system with most effective state resonance. By mathematically modeling modulation, we propose quantitative measurement for referred to "Cardiopulmonary Resonance Function (CRF) Cardiopulmonary Indices...
Imbalance of autonomic nerve is the cause lots cardiovascular and psychological diseases. Many studies have shown that Heart Rate Variability Biofeedback through respiratory training an effective way to regulate status human nerves. However, due immature quantification Respiratory Sinus Arrhythmia, process cannot be optimal personalized. In this paper, we propose Cardiopulmonary Resonance Indices based on Coupling Model calculate personalized breathing frequency. Then feedback system...
Farfarae Flos is a traditional Chinese medicine that has long been used to treat allergies.In this study, we aimed investigate the effect of petroleum extract (PEFF) in mouse model allergic rhinitis (AR) and explore underlying molecular mechanisms action.An animal AR was established by sensitization challenge BALB/c mice with ovalbumin (OVA).PEFF administered intranasally nasal symptoms were assessed on semi-quantitative scale according frequencies nose rubbing sneezing degree rhinorrhea.The...
Function solving is the most creative phase of product design. Design knowledge modeling basis computer aided products innovation Concept semantics establishes contact between design and function solving. The concept driven innov ation was presented. model based on process helpful for designs. MFBS established ontology built with a sextuple structure to achieve system. mapping algorithm designed hierarchical progression FBS strategy realize achieved by single property retrieval,...
The cyclic alternating pattern is the periodic electroencephalogram activity occurring during non-rapid eye movement sleep. It a marker of sleep instability and correlated with several sleep-related pathologies. Considering connection between human heart brain, our study explores feasibility using cardiopulmonary features to automatically detect hence diagnose By statistically analyzing comparing characteristics healthy group groups diseases, an automatic recognition scheme proposed based on...
The assembly feature information contained in the CAD model of product is an important basis for generation intelligent sequence. Taking as research object, on acquisition by sequence planning proposed this paper. Microsoft Visual Studio 2005 and SolidWorks API are used implementation means to access internal data realize extraction hierarchical information, mating relation line surface features model. An application example locking device elevator landing door shows that established method...
In recent years, internal threats have occurred frequently and become the main factor of network security threats.However, due to hidden characteristics threats, it is difficult detect them by methods based on specific conditions.At present,most detection technologies user behavior rely expert knowledge require human determine threshold model parameters,which cannot realize automatic learning system,and find abnormal behaviors that deliberately hide characteristics.For problem threat...
<sec> <title>UNSTRUCTURED</title> The Cyclic Alternating Pattern is a periodic electroencephalogram activity occurring during No Rapid Eye Movement sleep. It marker of sleep instability and correlated with several sleep-related pathologies. In this article, considering the connection between heart brain people, by statistically analysising comparing cardiopulmonary characteristics people no pathology patients diseases, an automatic recognition scheme proposed based on Cardiopulmonary...
<sec> <title>BACKGROUND</title> The Cyclic Alternating Pattern is a periodic electroencephalogram activity occurring during No Rapid Eye Movement sleep. It marker of sleep instability and correlated with several sleep-related pathologies. </sec> <title>OBJECTIVE</title> objective our study to automatic detect the diagnose pathologies based on ECG respiratory signals. <title>METHODS</title> Considering connection between heart brain people, by statistically analysising comparing...