A5102958343- Non-Invasive Vital Sign Monitoring
- Heart Rate Variability and Autonomic Control
- ECG Monitoring and Analysis
- Retinal Imaging and Analysis
- COVID-19 diagnosis using AI
- Medical Imaging and Analysis
- Digital Imaging for Blood Diseases
- Spine and Intervertebral Disc Pathology
- Mechanical Engineering and Vibrations Research
- Assembly Line Balancing Optimization
- Scoliosis diagnosis and treatment
- Advanced Chemical Sensor Technologies
- Anomaly Detection Techniques and Applications
- Clinical Reasoning and Diagnostic Skills
- Healthcare Technology and Patient Monitoring
- Olfactory and Sensory Function Studies
- Retinal and Optic Conditions
- Musculoskeletal pain and rehabilitation
- Computational Drug Discovery Methods
- Evaluation Methods in Various Fields
- Manufacturing Process and Optimization
- Machine Learning in Healthcare
- Advanced Surface Polishing Techniques
- Sepsis Diagnosis and Treatment
- Direction-of-Arrival Estimation Techniques
Liupanshui Normal University
2024
Marquette University
2019-2023
Guizhou University
2017-2023
Dalian Maritime University
2023
Xidian University
2018-2021
East China University of Science and Technology
2018
China Mobile (China)
2011
Adolescent idiopathic scoliosis is the most common spinal disorder in adolescents with a prevalence of 0.5-5.2% worldwide. The traditional methods for screening are easily accessible but require unnecessary referrals and radiography exposure due to their low positive predictive values. application deep learning algorithms has potential reduce costs screening. Here, we developed validated automated using unclothed back images. accuracies were superior those human specialists detecting...
Although artificial intelligence performs promisingly in medicine, few automatic disease diagnosis platforms can clearly explain why a specific medical decision is made.We aimed to devise and develop an interpretable expandable framework for automatically diagnosing multiple ocular diseases providing treatment recommendations the particular illness of patient.As highly depends on observing images, we chose ophthalmic images as research material. All were labeled 4 types or normal (total 5...
Visual‐based technologies are very useful and meaningful to driver's fatigue detection. In this study, the authors present a multi‐task hierarchical CNN scheme for detection system propose convolutional neural network (CNN) model with multi‐scale pooling (MSP‐Net). ‘Multi‐task’ includes three tasks: face detection, eye mouth state First, they use pre‐trained – extracting regions. Then, main work of is processed by MSP‐Net, which can fit multi‐resolution input images captured from variant...
Background Disk herniation and disk bulge are two common disorders of lumbar intervertebral disks (IVDs) that often result in numbness, pain the lower limbs, back pain. Magnetic resonance (MR) imaging is one most efficient techniques for detecting diseases widely used making clinical diagnoses at hospitals. However, there a lack tools effectively interpreting massive amounts MR images to meet requirements many radiologists. Objective The aim this study was present an automatic system...
Abstract Background Color vision is the ability to detect, distinguish, and analyze wavelength distributions of light independent total intensity. It mediates interaction between an organism its environment from multiple important aspects. However, physicochemical basis color coding has not been explored completely, how perception integrated with other sensory input, typically odor, unclear. Results Here, we developed artificial intelligence platform train algorithms for distinguishing odor...
This paper describes a cloud-based heart rate (HR) and variability (HRV) monitor, which can monitor an individual's using minimal resources at the user's end. HR HRV does not involve any contact sensors or costly medical equipment, it require high-definition camera to video record face. monitoring system simply requires webcam of personal computer mobile device such as cell phone tablet in order face user. The utilizes while recording encoding segments before transferring them server. All...
Heart rate variability (HRV) is a measurement for cardiovascular health condition, and it can be obtained from photo-plethysmography signal by capturing the slight color change in human skin as result of blood volume change. Remote photoplethysmography signals (rPPG) extracted videos faces. Current rPPG postprocessing typicall y selects certain fixed range frequency power spectrum signal. This paper describes method to use noise ratio assist selection adaptive that may contain HRV...
Considering the severity and annual treatment costs, rising incidents of sepsis septic shock in United States among ICU admissions is an increasing concern. The purpose this research to unpack most prevalent criterion for based on qSOFA predictors, scenario ICU; investigate dichotomy parameters. This study conducted using critical care database MIT: MIMIC-III; takes parameters - altered mental status Glasgow Coma Scale, respiratory rate, systolic arterial blood pressure patients admitted...
Smart antenna technology can increase channel capacity, improve spectrum efficiency and enlarge cover area by using its spatial diversity ability , which greatly system performance . A least mean squares (LMS) is posed for the smart adaptive interference suppression based on training sequence. Also square (RLS) algorithm are proposed design simulation about compare analyze result prove effectiveness in TD-SCDMA .According to results, new method with a faster convergence speed, doesn`t matter...
Abstract An intelligent assembly method was designed to realize the of profiled thermal battery pack and improve its accuracy. Firstly, for number size different monomer batteries vary, this paper takes as object, with a common shape circle screw arrangement an established process model. Then, also has improved differential evolution algorithm process, on number, location, tightening assembly, torque, order solution. According scheme, flatness test were carried out. Results showed that...
For mid- and high-end automobile production by order mixed model mode, how to design the optimal sequence for different system workshops is a practical problem faced such enterprises. In this paper, two-stage task package division method proposed meet car sequencing requirements workshops. The first stage of initial divide orders into several packages equal size, each can multi-shop from overall level through Automated Storage Retrieval System (AS/RS) resequencing. As second splitting, it...
Heart Rate (HR) and Variability (HRV) is an essential measurement to know the heart's cardiovascular condition. Many works have been done for measuring HR-HRV based on facial video non-invasively. In this paper, our previous work experience of by Remote photoplethysmography signals (rPPG) analysis, we built a prediction model from 10-second time series data extracted video. work, used instantaneous public dataset with several models predict HR-HRV, stress levels exclusively dataset. We here...
For measuring human anxiety Competitive State Anxiety Inventory (CSAI) is a very popular method. Though this method widely used in determining the sports area, recently, also deployed other activities. Our objective was to determine CSAI-based assessment non-invasively using HR-HRV for three different tasks. A baseline video and target of same subject are outputs competitive state inventor proposed study. The framework uses support vector regression, based on abstract features derived from...
<sec> <title>BACKGROUND</title> Although artificial intelligence performs promisingly in medicine, few automatic disease diagnosis platforms can clearly explain why a specific medical decision is made. </sec> <title>OBJECTIVE</title> We aimed to devise and develop an interpretable expandable framework for automatically diagnosing multiple ocular diseases providing treatment recommendations the particular illness of patient. <title>METHODS</title> As highly depends on observing images, we...
<sec> <title>BACKGROUND</title> Disk herniation and disk bulge are two common disorders of lumbar intervertebral disks (IVDs) that often result in numbness, pain the lower limbs, back pain. Magnetic resonance (MR) imaging is one most efficient techniques for detecting diseases widely used making clinical diagnoses at hospitals. However, there a lack tools effectively interpreting massive amounts MR images to meet requirements many radiologists. </sec> <title>OBJECTIVE</title> The aim this...
Accurate and valid health information is crucial for effective medical management. Failure to collect adequate from physical mental examinations can be a barrier Virtual platforms telemedicine. In this paper, we propose the non-invasive "Dream" project prototype monitor record heart rate (HR), rate-variation (HRV) (for health), stress health) using only smart-phone. This mobile application, uses front camera capture video calculate HR-HRV stress. The full encompasses our previous facial...