Cuiwei Yang

Orcid: 0000-0003-3338-5835

According to our database1, Cuiwei Yang authored at least 36 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A multi-module algorithm for heartbeat classification based on unsupervised learning and adaptive feature transfer.
Comput. Biol. Medicine, March, 2024

A Lightweight Hybrid Model Using Multiscale Markov Transition Field for Real-Time Quality Assessment of Photoplethysmography Signals.
IEEE J. Biomed. Health Informatics, February, 2024

Adaptive atrial fibrillation detection focused on atrial activity analysis.
Biomed. Signal Process. Control., February, 2024

Comprehensive analysis of heart rate variability features for accurate prediction of paroxysmal atrial fibrillation.
Biomed. Signal Process. Control., January, 2024

2023
Semi-Supervised Learning for Low-Cost Personalized Obstructive Sleep Apnea Detection Using Unsupervised Deep Learning and Single-Lead Electrocardiogram.
IEEE J. Biomed. Health Informatics, November, 2023

A novel interpretable feature set optimization method in blood pressure estimation using photoplethysmography signals.
Biomed. Signal Process. Control., September, 2023

Multi-task cascaded assessment of signal quality for long-term single-lead ECG monitoring.
Biomed. Signal Process. Control., May, 2023

Interpatient Heartbeat Classification Using Modified Residual Attention Network With Two-Phase Training and Assistant Decision.
IEEE Trans. Instrum. Meas., 2023

Multi-Instance Learning Using Transformer for Obscured Weak Label Problem in PPG-Based Blood Pressure Estimation.
IEEE Trans. Instrum. Meas., 2023

Personalized Transfer Learning for Single-Lead ECG-Based Sleep Apnea Detection: Exploring the Label Mapping Length and Transfer Strategy Using Hybrid Transformer Model.
IEEE Trans. Instrum. Meas., 2023

CardiacSegFormer: Transformer for Semantic Segmentation of Cardiac Images.
Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023

Predicting Ejection Fraction from Electrocardiogram Signals using a Multi-task Learning Model.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

DeT-Net: A Two-stage Method for Accurate Automatic Heart Segmentation.
Proceedings of the 16th International Congress on Image and Signal Processing, 2023

Diffusion Model with Self-supervised Training for Subject-aware Photoplethysmography Recovery.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022
Biometric recognition based on scalable end-to-end convolutional neural network using photoplethysmography: A comparative study.
Comput. Biol. Medicine, 2022

MGNN: A multiscale grouped convolutional neural network for efficient atrial fibrillation detection.
Comput. Biol. Medicine, 2022

PPG-based blood pressure estimation can benefit from scalable multi-scale fusion neural networks and multi-task learning.
Biomed. Signal Process. Control., 2022

2021
Prediction of atrial fibrillation inducibility using spatiotemporal activation analysis combined with network mapping.
Biomed. Signal Process. Control., 2021

2020
Arrhythmias Classification Using Short-Time Fourier Transform and GAN Based Data Augmentation.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Recognition of Premature Ventricular Contraction Beat from 12Lead ECG Based on A Novel Detection Function of QRS Onset.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Motion Artifact Detection in PPG Signals Based on Gramian Angular Field and 2-D-CNN.
Proceedings of the 13th International Congress on Image and Signal Processing, 2020

2019
A Novel Method to Detect Multiple Arrhythmias Based on Time-Frequency Analysis and Convolutional Neural Networks.
IEEE Access, 2019

Classification of Atrial Fibrillation Recurrence Based on a Convolution Neural Network With SVM Architecture.
IEEE Access, 2019

Leads Selection of Body Surface Potential Mapping During Atrial Fibrillation: A Sequential Selection Based on Adapted Botteron's Approach.
IEEE Access, 2019

A Deep Learning Method to Detect Atrial Fibrillation Based on Continuous Wavelet Transform.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Noninvasive Prediction of Atrial Fibrillation Recurrence Based on a Deep Learning Algorithm.
Proceedings of the 2nd International Conference on Computational Biology and Bioinformatics, 2018

2014
Atrial fibrillation detection using spectra of FSD recurrence complex network.
Proceedings of the International Conference on Audio, 2014

Quantitative assessment of synchronization during atrial fibrillation based on a novel index.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Implementation of real-time isopotential map in epicardial mapping system.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

Biofeedback neuromuscular electrical stimulation front-end for dysphagia treatment.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

2013
Evaluating epicardial mapping electrogram by the method of dominant frequency and Lorenz plot.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Investigation of Atrial Vulnerability by Analysis of the Sinus Node EG From Atrial Fibrillation Models Using a Phase Synchronization Method.
IEEE Trans. Biomed. Eng., 2012

2010
Implementation of a novel interpolating method to epicardial potential mapping for atrial fibrillation study.
Comput. Biol. Medicine, 2010

2008
The Pretreatment Method for Epicardial Potential Mapping Signals Based on Independent Component Analysis and Wavelet Transform.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008

Development of Epicardial Mapping System for Studying Atrial Fibrillation.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008

Dynamic Epicardial Mapping Using 3D Emulation.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008


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