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Qunfeng Tang
Qunfeng Tang
Guilin University of Electronic technology
Verified email at mails.guet.edu.cn
Title
Cited by
Cited by
Year
The effectiveness of image augmentation in deep learning networks for detecting COVID-19: A geometric transformation perspective
M Elgendi, MU Nasir, Q Tang, D Smith, JP Grenier, C Batte, B Spieler, ...
Frontiers in Medicine 8, 629134, 2021
1102021
An automatic diagnosis of arrhythmias using a combination of CNN and LSTM technology
Z Zheng, Z Chen, F Hu, J Zhu, Q Tang, Y Liang
Electronics 9 (1), 121, 2020
852020
Synthetic photoplethysmogram generation using two Gaussian functions
Q Tang, Z Chen, R Ward, M Elgendi
Scientific Reports 10 (1), 13883, 2020
502020
Deep learning algorithm classifies heartbeat events based on electrocardiogram signals
Y Liang, S Yin, Q Tang, Z Zheng, M Elgendi, Z Chen
Frontiers in Physiology 11, 569050, 2020
492020
The performance of deep neural networks in differentiating chest X-rays of COVID-19 patients from other bacterial and viral pneumonias
M Elgendi, MU Nasir, Q Tang, RR Fletcher, N Howard, C Menon, R Ward, ...
Frontiers in medicine 7, 550, 2020
462020
PPGSynth: An innovative toolbox for synthesizing regular and irregular photoplethysmography waveforms
Q Tang, Z Chen, J Allen, A Alian, C Menon, R Ward, M Elgendi
Frontiers in Medicine 7, 597774, 2020
322020
Robust reconstruction of electrocardiogram using photoplethysmography: A subject-based Model
Q Tang, Z Chen, Y Guo, Y Liang, R Ward, C Menon, M Elgendi
Frontiers in Physiology 13, 859763, 2022
222022
PPG2ECGps: An end-to-end subject-specific deep neural network model for electrocardiogram reconstruction from photoplethysmography signals without pulse arrival time adjustments
Q Tang, Z Chen, R Ward, C Menon, M Elgendi
Bioengineering 10 (6), 630, 2023
122023
Subject-based model for reconstructing arterial blood pressure from Photoplethysmogram
Q Tang, Z Chen, R Ward, C Menon, M Elgendi
Bioengineering 9 (8), 402, 2022
102022
Improved U-Net Model to Estimate Cardiac Output Based on Photoplethysmography and Arterial Pressure Waveform
X Xu, Q Tang, Z Chen
Sensors 23 (22), 9057, 2023
52023
The effectiveness of image augmentation in deep learning networks for detecting COVID-19: A geometric transformation perspective, Frontiers in Medicine 8. Front. Med.(Lausanne …
M Elgendi, MU Nasir, Q Tang, D Smith, JP Grenier, C Batte, B Spieler, ...
doi. org/10.3389/fmed, 2021
52021
Ppgtempstitch: A matlab toolbox for augmenting annotated photoplethsmogram signals
Q Tang, Z Chen, C Menon, R Ward, M Elgendi
Sensors 21 (12), 4007, 2021
32021
Res-BiANet: A Hybrid Deep Learning Model for Arrhythmia Detection Based on PPG Signal
Y Wu, Q Tang, W Zhan, S Li, Z Chen
Electronics 13 (3), 665, 2024
22024
UNet-BiLSTM: A Deep Learning Method for Reconstructing Electrocardiography from Photoplethysmography
Y Guo, Q Tang, Z Chen, S Li
Electronics 13 (10), 1869, 2024
12024
Robust modelling of arterial blood pressure reconstruction from photoplethysmography
J Pan, L Liang, Y Liang, Q Tang, Z Chen, J Zhu
Scientific Reports 14 (1), 1-13, 2024
2024
Subject-Independent Model for Reconstructing Electrocardiography Signals from Photoplethysmography Signals
Y Guo, S Li, Z Chen, Q Tang
Applied Sciences 14 (13), 5773, 2024
2024
Reconstruction of Missing Electrocardiography Signals from Photoplethysmography Data Using Deep Neural Network
Y Guo, Q Tang, S Li, Z Chen
Bioengineering 11 (4), 365, 2024
2024
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