Ming Chen

ORCID: 0000-0001-6283-6127
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About
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Research Areas
  • ECG Monitoring and Analysis
  • EEG and Brain-Computer Interfaces
  • Cardiovascular Function and Risk Factors
  • Cardiac electrophysiology and arrhythmias
  • Heart Rate Variability and Autonomic Control
  • Phonocardiography and Auscultation Techniques
  • Cardiac, Anesthesia and Surgical Outcomes
  • Pressure Ulcer Prevention and Management
  • Lipid metabolism and disorders
  • Acute Myocardial Infarction Research
  • Ion channel regulation and function
  • Cardiac Arrhythmias and Treatments
  • Blind Source Separation Techniques
  • Cardiac pacing and defibrillation studies
  • Stoma care and complications
  • Healthcare professionals’ stress and burnout
  • Heart Failure Treatment and Management
  • Cardiac Imaging and Diagnostics
  • Atrial Fibrillation Management and Outcomes
  • Coronary Interventions and Diagnostics
  • Artificial Intelligence in Healthcare
  • Cardiovascular Syncope and Autonomic Disorders
  • Therapeutic Uses of Natural Elements
  • Psychological and Temporal Perspectives Research
  • Cardiac Fibrosis and Remodeling

Ruian People's Hospital
2024

Hohai University
2024

Wenzhou Medical University
2024

Qingdao University of Science and Technology
2024

Fujian Women and Children Hospital
2023

Fujian Medical University
2013-2023

Fuzhou Maternity and Child Health Care Hospital
2023

Cangzhou Central Hospital
2023

Hebei Medical University
2023

Anhui Medical University
2013-2023

In recent decades, heart disease threatens people's health seriously because of its prevalence and high risk death. Therefore, predicting through some simple physical indicators obtained from the regular examination at an early stage has become a valuable subject. Clinically, it is essential to be sensitive these related make predictions provide reliable basis for further diagnosis. However, large amount data makes manual analysis prediction taxing arduous. Our research aims predict both...

10.1155/2021/6260022 article EN Journal of Healthcare Engineering 2021-09-29

The study burnout of medical students is more and serious, which directly affects the style university learning quality students. This has aroused high attention researchers universities. aimed to explore mechanism influence school climate on academic among in Chinese cultural context.2411 (50.52% female; mean age = 19.55, SD 1.41, rang 17-24 years) were investigated with psychological environment questionnaire, collective self-esteem scale, capital scale scale. data analyzed by using a...

10.1186/s40359-023-01121-6 article EN cc-by BMC Psychology 2023-03-22

Background— In depolarized myocardial infarct epicardial border zones, the cardiac sodium channel (SCN5A) is largely inactivated, contributing to low action potential upstroke velocity (V̇ max ), slow conduction, and reentry. We hypothesized that a fast inward current such as skeletal muscle (SkM1) operating more effectively at membrane potentials might restore conduction in zones be antiarrhythmic. Methods Results— Computer simulations were done with modified Hund-Rudy model. Canine...

10.1161/circulationaha.108.809301 article EN Circulation 2008-12-23

Background and objectives: Studies that examined geographic variation in heart failure (HF) its association with risk factors at county- state-levels were limited. The present study aimed to test a hypothesis HF mortality is disproportionately distributed across the United States (U.S.), this significantly associated state-level prevalence of high blood pressure (HBP), diabetes, obesity physical inactivity. Methods: Data from 1723 counties 51 states (including District Columbia as state) on...

10.3389/fpubh.2018.00132 article EN cc-by Frontiers in Public Health 2018-05-07

We propose a novel electrocardiogram (ECG) beat classification algorithm using combination of Bidirectional Recurrent Neural Network (BiRNN) and Convolutional (CNN) named as BiRCNN. Our model is an end-to-end model. The morphological features each ECG extracted by CNN. Then the are considered in context via BiRNN. assessment on MIT-BIH Arrhythmia Database (MITDB) resulted sensitivity 98.7% positive predictivity 96.4% average for VEB class. For SVEB class, was 92.8%, which over 6% promotion...

10.1109/embc.2018.8512752 article EN 2018-07-01

Abstract Aims and objectives To gain an in‐depth understanding of patients’ preferences regarding two bed bath methods: soap water disposable wet wipes. Background Bed baths allow hospitalised, bedridden patients to stay clean fresh. They serve a number purposes: health promotion, social propriety pure pleasure. Traditionally, have been used for personal hygiene, but in recent years increasingly replaced by the use Design A qualitative study with hermeneutical‐phenomenological approach was...

10.1111/jocn.14825 article EN Journal of Clinical Nursing 2019-02-20

Electrocardiograph (ECG) is one of the most critical physiological signals for arrhythmia diagnosis in clinical practice. In recent years, various algorithms based on deep learning have been proposed to solve heartbeat classification problem and achieved saturated accuracy intrapatient paradigm, but encountered performance degradation inter-patient paradigm due drastic variation ECG among different individuals. this paper, we propose a novel unsupervised domain adaptation scheme address...

10.1109/embc44109.2020.9175928 article EN 2020-07-01

The electrocardiogram (ECG) is one of the most powerful tools used in hospitals to analyze cardiovascular status and check health, a standard for detecting diagnosing abnormal heart rhythms. In recent years, health has attracted much attention. However, traditional doctors’ consultations have disadvantages such as delayed diagnosis high misdiagnosis rate, while diseases characteristics early diagnosis, treatment, recovery. Therefore, it essential reduce rate disease. Our work based on five...

10.1155/2021/7167891 article EN Journal of Healthcare Engineering 2021-09-27

Detection of ECG characteristic points serves as the first step in automated analysis techniques. We propose a novel end-to-end deep learning scheme called Region Aggregation Network (RAN) for de- tection. A 1D Convolutional Neural (CNN) is adopted to automatically process signals. strategy proposed replace conventional fully connected layer regressor. Our work provides robust and accurate detection performance on public database. The evaluation results our method QT database show comparable...

10.1109/embc.2018.8512789 article EN 2018-07-01

Objective This study was designed to investigate the impact of body mass index (BMI) on short- and long-term outcomes after initial revascularization with coronary artery bypass graft (CABG) surgery. Methods 4916 Chinese who consecutively underwent isolated, primary CABG at Cardiovascular Institute Fuwai Hospital from January 1, 1999 December 31, 2005 were included in this study. They classified based BMI as follows: underweight: <18.5 kg/m2, normal weight: 18.5 23.9 overweight: 24 27.9...

10.1371/journal.pone.0095223 article EN cc-by PLoS ONE 2014-04-21

Learning burnout is an important indicator that reflects individual’s learning state. Understanding the influencing factors and mechanism of medical students has practical significance for improving their mental health. This study aimed to explore mediating roles school identity collective self-esteem between psychological environment in students. A total 2,031 (942 men 1,089 women, age range: 17–23 years) were surveyed using School Psychological Environment Questionnaire (SPEQ), Identity...

10.3389/fpsyg.2022.851912 article EN cc-by Frontiers in Psychology 2022-06-02

Risk models integrating new biomarkers to predict cardiovascular events in acute coronary syndromes (ACS) are lacking. Therefore, we evaluated the prognostic value of addition clinical predictors and developed a biomarker-based risk model for major adverse (MACE) within 12 months after hospital admission with ACS.Patients (n = 4407) consecutively enrolled from November, 2017 October, 2019 three hospitals prospective Chinese registry (BIomarker-based Prognostic Assessment Patients Stable...

10.1016/j.lanwpc.2022.100479 article EN cc-by-nc-nd The Lancet Regional Health - Western Pacific 2022-05-30

Due to the significant variability in waveforms and characteristics of ECG signals, developing fully automatic (i.e., requires no expert assistance) heartbeat classification algorithms with satisfactory performance on domain-shifted data remains challenging. In this letter, we propose a novel Mixup Asymmetric Tri-training (MIAT) method improve generalization ability classifiers domain shift scenarios. First, develop an ECG-based tri-branch CNN model, including one shared feature encoder...

10.1109/lsp.2021.3066068 article EN IEEE Signal Processing Letters 2021-01-01

G-protein receptor kinase 5 (GRK5) Gln41 > Leu and β1-adrenergic (ADRB1) Arg389 Gly polymorphisms presented the different distribution of genotype frequencies between Caucasian American African American, produced difference in β-blocker treatment effect among them with systolic heart failure (SHF). This study sought to identify distributed characteristics these variant genotypes Chinese population, influence GRK5 ADRB1 on SHF morbidity patients SHF. was based cross-sectional survey data....

10.1186/s12967-015-0402-7 article EN cc-by Journal of Translational Medicine 2015-01-31

Detection of Electrocardiogram (ECG) characteristic points can provide critical diagnostic information about heart diseases. We propose a novel feature extraction and machine learning scheme for ECG delineation. A new feature, termed as randomly selected wavelet transform (RSWT), is proposed to effectively represent morphology. With the RSWT pool, regression tree trained estimate probability distribution direction toward target point, relative current position. The continual random walk...

10.1109/embc.2018.8512843 article EN 2018-07-01

Stent implantation has been increasingly applied for the treatment of obstructive coronary artery disease, which, albeit effective, often harasses patients by in-stent restenosis (ISR).The present study was to explore role compound Chinese medicine Cardiotonic Pills® (CP) in attenuating ISR-evoked myocardial injury and fibrosis.Chinese miniature pigs were used establish ISR model implanting obsolete degradable stents into arteries. Quantitative angiography (QCA) performed confirm success...

10.1016/j.phymed.2022.154405 article EN cc-by-nc-nd Phytomedicine 2022-08-23
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