A5100395370- Non-Invasive Vital Sign Monitoring
- Heart Rate Variability and Autonomic Control
- Electrochemical sensors and biosensors
- Hemodynamic Monitoring and Therapy
- Advanced Multi-Objective Optimization Algorithms
- Topology Optimization in Engineering
- Manufacturing Process and Optimization
- Video Analysis and Summarization
- Electrochemical Analysis and Applications
- Advanced Materials and Mechanics
- Analytical Chemistry and Sensors
- Thermoregulation and physiological responses
- Thermal Regulation in Medicine
- Advanced biosensing and bioanalysis techniques
- Conducting polymers and applications
- Occupational Health and Performance
- Handwritten Text Recognition Techniques
- Influenza Virus Research Studies
- Infrared Thermography in Medicine
- Forensic Anthropology and Bioarchaeology Studies
- Subtitles and Audiovisual Media
- Optical Coherence Tomography Applications
- Building Energy and Comfort Optimization
- Digital Humanities and Scholarship
- Advanced Steganography and Watermarking Techniques
Zhejiang University
2008-2024
University of Connecticut
2022-2024
Beijing University of Posts and Telecommunications
2024
Tsinghua University
2021
State Key Laboratory of Modern Optical Instruments
2020
State Key Laboratory of Diagnosis and Treatment of Infectious Diseases
2016-2017
Beijing University of Technology
2016
Multi-cell structures have been widely utilized in energy-absorbing applications for their lightweight and superior mechanical properties. However, they may produce high peak forces that are harmful to occupant safety during a vehicle collision. In addition, the naturally formed folding global bending modes under axial loads can significantly restrict capability. this study, novel origami multi-cell structure is proposed avoid excessive at same time guide deformation mode improve Four...
This study proposed a refined BP prediction strategy that using single-channel photoplethysmography (PPG) signals to stratify populations by cardiovascular status before estimation. Combining demographic characteristics (age, gender) and pulse wave morphological features, the random forest was applied screen two kinds of typical diseases (CVDs), with an accuracy 92.2%. A deep learning model (BiLSTM-At) estimate long-term trend for different CVD groups. Transfer technique used personalized...
BackgroundThe significance of early neuraminidase inhibitor (NAI) therapy for treating influenza A(H7N9) is currently unknown.
One of the most effective methods for continuous blood glucose monitoring is to continuously measure in interstitial fluid (ISF). However, multiple physiological factors can modulate concentrations and affect lag phase between ISF changes. This study aims develop a compensatory tool measuring delay variations reference A theoretical model was developed based on biophysics physiology transport microcirculation system. Blood changes were measured mice rats by fluorescent isotope methods,...
Vascular quantitative metrics have been widely used in the preclinical studies and clinical applications (e.g., diagnosis treatment of port wine stain, PWS), which require accurate vessel segmentation. An automatic 3D adaptive segmentation is need for a reproducible objective quantification optical coherence tomography angiography (OCTA) image.Human skin imaging was performed with lab-built (OCT) system. Rather than separately applying conventional 2-step (intensity binarization)...
Objective.Noninvasive blood pressure (BP) measurement technologies have been widely studied, but they still the disadvantages of low accuracy, requirement for frequent calibration and limited subjects. This work considers regulation vascular activity by sympathetic nervous system proposes a method estimating BP using multiple physiological parameters.Approach.The parameters used in model consist heart rate variability (HRV), pulse transit time (PTT) wave morphology features extracted from...
There have been inconsistent conclusions regarding the levels of inflammatory mediators in saliva and serum among people with or without periodontal disease. Although pre-conception has put forward as optimal time for treatment order to improving pregnancy outcomes, few studies conducted examine women. Pre-conception women were recruited between January 2012 December 2014. Women provided an oral health examination detect Salivary samples collected at same examination. Inflammatory...
Rings have attracted more and attention in the study of wearable health monitoring. This focused on a ring type Surgical Pleth Index (SPI) monitoring system based photoplethysmography (PPG) signal acquired from finger root, where unique sensor array structure was simulated verified by Monte Carlo approach. The circuit board fabricated form rigid flexible PCB that can be bended according to different curve surface. PPG proposed SPI (GE Carestation 620 A2) data ware monitored 24 patients...
Abstract A simple layer‐by‐layer (LBL) assembly strategy was established for constructing a novel reagentless biosensor based on nanocomposite of methylene blue multiwalled carbon nanotubes (MB‐MWNTs). MB‐MWNTs obtained by direct premixing and possessed good dispersion in barbital‐HCl buffer. Through electrostatic interactions, the could alternately be assembled with horseradish peroxidase (HRP) Au electrode modified precursor films. UV/Vis spectra scanning electron microscopy (SEM) were...
<abstract> <p>Invertible neural network (INN) is a promising tool for inverse design optimization. While generating forward predictions from given inputs to the system response, INN enables process without much extra cost. The of predicts possible input parameters specified response qualitatively. For purpose space exploration and reasoning critical engineering systems, accurate are required. Moreover, lack effective uncertainty quantification regression tasks, which increases...