A5038448141- ECG Monitoring and Analysis
- Brain Tumor Detection and Classification
- Advanced Computing and Algorithms
- Non-Invasive Vital Sign Monitoring
- EEG and Brain-Computer Interfaces
- Phonocardiography and Auscultation Techniques
- Ferroelectric and Piezoelectric Materials
- Reproductive System and Pregnancy
- Acoustic Wave Resonator Technologies
- Inflammatory Biomarkers in Disease Prognosis
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Time Series Analysis and Forecasting
- Sleep and related disorders
- Neuroscience of respiration and sleep
- Restless Legs Syndrome Research
- Venous Thromboembolism Diagnosis and Management
- Image and Signal Denoising Methods
- High Altitude and Hypoxia
- Multiferroics and related materials
- Cervical Cancer and HPV Research
- Epigenetics and DNA Methylation
- Macrophage Migration Inhibitory Factor
- Heme Oxygenase-1 and Carbon Monoxide
- Dialysis and Renal Disease Management
Shandong University
2004-2024
Qinghai Provincial Peoples Hospital
2024
Taian City Central Hospital
2016
Hangzhou Center for Disease Control and Prevention
2014
University of Michigan
2010
State Key Laboratory of Crystal Materials
2004
There has been limited research on sleep quality (SQ) in CKD.This prospective cohort study of adults with CKD Stages 3 - 5 at four US centers collected self-reported SQ information from the Kidney Disease Quality Life (KDQOL) instrument, including an estimated score (0 100), and SQ-related questions. "Poor" was defined as < or = 60. Logistic multiple linear regression assessed associations between its potential predictors. Times to death end stage renal disease (ESRD) were examined using Cox...
The purpose of this study is to investigate the serum inflammatory factors in patients with high-altitude polycythemia (HAPC) and their correlation cognitive function. subjects were recruited placed into a HAPC group control group. Serum samples collected, (interleukin-1beta [IL-1β], monocyte chemoattractant protein-1 [MCP-1], tumor necrosis factor-alpha [TNF-α]) measured using ELISA kits. mini-mental State Examination (MMSE) was used assess According MMSE scores, further divided normal...
In recent years, there has been a surge in applying deep learning methods for signal quality assessment (SQA) and denoising of ECG signals. However, solely focusing on can lead to situations where models trained severely contaminated signals perform poorly higher-quality Likewise, carrying out SQA isolation may be constrained by the number training data susceptible label noise. this study, we leverage correlation between propose multi-task network (MTL-NET) that addresses both tasks parallel...
Abstract: Motion interference is a major issue in the process of acquiring electrocardiogram (ECG) signals. It introduces noise and artifacts into ECG signal, causing signal distortion deformation, thus affecting accuracy subsequent analyses diagnoses. This study deep learning-based model for motion artifact removal signals, namely MSCT, which combines Multi-Scale Convolution with Transformer encoder to extract local global features signals artifacts. The comparative experiments are...
Purpose: This study aimed to establish the prevalence of pulmonary embolism (PE) in chronic obstructive disease (COPD) patients with secondary polycythemia (SP) and explore risk factors for PE COPD SP. Patients Methods: We analyzed among SP who were hospitalized at Qinghai Provincial People's Hospital between January 2015 December 2020. From 2021 2024, we enrolled into three groups (COPD+SP+PE, COPD+SP, control) performed laboratory measurements, biomarkers, echocardiography, function tests....
Uremic cardiomyopathy is a risk factor of end-stage renal disease (ESRD) and responsible for high mortality rates increased left ventricular mass index (LVMI). Macrophage migration inhibitory (MIF) promotes inflammation an important in uremic cardiomyopathy.The aim this study to investigate the effects serum macrophage MIF on myocardial hypertrophy ESRD patients examine relation clinical characteristics.One hundred forty-four with chronic kidney (CKD) were divided into three groups: (1) CKD,...
Multivariate time series (MTS) data is generated through multiple sensors across various domains such as engineering application, health monitoring, and the internet of things, characterized by its temporal changes high dimensional characteristics. Over past few years, many studies have explored long-range dependencies similarities in MTS. However, are difficult to model due their dimensionality makes it obtain effectively efficiently. Thus, address these issues, we propose contrast...