Loading [MathJax]/extensions/MathZoom.js
Yang Han - IEEE Xplore Author Profile
Subscribe
ADVANCED SEARCH

Author details

< Back

Yang Han

Publications
5
Citations
37
Publications by Year
20222025
Co-Authors:
Show All Co-Authors (10)
Image of author Yang Han

Yang Han

Affiliation

Department of Obstetrics
The First Affiliated Hospital
Sun Yat-sen University, Guangzhou, China

Publication Topics

Biography

Yang Han received the B.S. degree in clinical specialty from Sun Yat-sen University, Guangzhou, China, in 2011, and the M.S. degree in gynecology and obstetrics from Sun Yat-sen Memorial Hospital, Guangzhou, in 2014. She is currently pursuing the Ph.D. degree with The First Affiliated Hospital, Sun Yat-sen University.,Her research interests include obstetric monitoring and diagnosis.(Based on document published on 3 March 2025).
Publications
5
Citations
37
Publications by Year
20222025
Co-Authors:
Show All Co-Authors (10)
Author's Published Works

Showing 1-5 of 5 results

  • Sort

Filter Results

Show

Sort By

Results

PRA-Net: Polymorphic Representation-Aware Network for Accurate Cardiac Arrhythmia Detection From Electrocardiogram Signals

Xu Wang;Zhaoshui He;Zhijie Lin;Yang Han;Wenqing Su;Beihai Tan;Shengli Xie

IEEE Transactions on Instrumentation and Measurement
Year: 2025 | Volume: 74 | Journal Article |
Electrocardiogram (ECG) arrhythmia classification is of great significance for cardiologist-level disease diagnosis. However, it is challenging to perform cardiac arrhythmia detection because of these limitations: 1) the abnormal ECG signals vary in different scales; 2) the temporal and spatial dependencies in ECG sequences are always ignored; and 3) the waveform semantic information, for example,...Show More

PRA-Net: Polymorphic Representation-Aware Network for Accurate Cardiac Arrhythmia Detection From Electrocardiogram Signals

Xu Wang;Zhaoshui He;Zhijie Lin;Yang Han;Wenqing Su;Beihai Tan;Shengli Xie

Year: 2025 | Volume: 74 | Journal Article |

AAFA-Net: Adaptive Amplitude-Frequency Attention Network for Fetal Monitoring From Noninvasive Abdominal Recordings

Yong Liao;Xu Wang;Yang Han;Yamei Deng

IEEE Transactions on Instrumentation and Measurement
Year: 2023 | Volume: 72 | Journal Article |
Cited by: Papers (17)
The noninvasive fetal electrocardiogram (FECG) is helpful for fetal well-being monitoring. However, it is difficult to obtain high-quality FECG signals because of the maternal electrocardiogram (MECG) and noise in the abdominal ECG (AECG). To address this problem, an adaptive amplitude-frequency attention network (AAFA-Net) is proposed for extracting FECG signals from AECG signals, where the frequ...Show More

AAFA-Net: Adaptive Amplitude-Frequency Attention Network for Fetal Monitoring From Noninvasive Abdominal Recordings

Yong Liao;Xu Wang;Yang Han;Yamei Deng

Year: 2023 | Volume: 72 | Journal Article |

Correlation-Aware Attention CycleGAN for Accurate Fetal ECG Extraction

Xu Wang;Zhaoshui He;Zhijie Lin;Yang Han;Wenqing Su;Shengli Xie

IEEE Transactions on Instrumentation and Measurement
Year: 2023 | Volume: 72 | Journal Article |
Cited by: Papers (3)
The fetal electrocardiogram (FECG) is of great significance for fetal monitoring during peripartum and intrapartum. However, it is difficult to extract FECG signals from the abdominal signal (ADS) due to the following issues: 1) FECG signals are always corrupted by noise and 2) the FECG signal is often masked by the high-amplitude maternal electrocardiogram (MECG). To address such problems, a corr...Show More

Correlation-Aware Attention CycleGAN for Accurate Fetal ECG Extraction

Xu Wang;Zhaoshui He;Zhijie Lin;Yang Han;Wenqing Su;Shengli Xie

Year: 2023 | Volume: 72 | Journal Article |

ASW-Net: Adaptive Spectral Wavelet Network for Accurate Fetal ECG Extraction

Xu Wang;Yang Han;Yamei Deng

IEEE Transactions on Biomedical Circuits and Systems
Year: 2022 | Volume: 16, Issue: 6 | Journal Article |
Cited by: Papers (6)
Noninvasive fetal ECG (FECG) is of great significance for monitoring fetal health. However, it is challenging to extract FECG signals from the abdominal ECG signal (AECG) due to the complexity of the task: 1) FECG signals are routinely mixed with noise; 2) FECG signals are aliased with maternal ECG signals in the time and frequency domain. To solve such problems, an adaptive spectral wavelet netwo...Show More

ASW-Net: Adaptive Spectral Wavelet Network for Accurate Fetal ECG Extraction

Xu Wang;Yang Han;Yamei Deng

Year: 2022 | Volume: 16, Issue: 6 | Journal Article |

PA²Net: Period-Aware Attention Network for Robust Fetal ECG Detection

Xu Wang;Zhaoshui He;Zhijie Lin;Yang Han;Taiheng Liu;Jun Lu;Shengli Xie

IEEE Transactions on Instrumentation and Measurement
Year: 2022 | Volume: 71 | Journal Article |
Cited by: Papers (11)
The noninvasive fetal ECG (FECG) is used to monitor fetal well-being at prenatal and intrapartum. However, it is challenging to detect the FECG signal from the abdominal electrocardiogram (ECG) due to the following problems: 1) the FECG signal is weak and often masked by noise and 2) the FECG signal is mixed or overlapped with the maternal ECG (MECG) signal. To solve such problems, a period-aware ...Show More

PA²Net: Period-Aware Attention Network for Robust Fetal ECG Detection

Xu Wang;Zhaoshui He;Zhijie Lin;Yang Han;Taiheng Liu;Jun Lu;Shengli Xie

Year: 2022 | Volume: 71 | Journal Article |

IEEE Account

Purchase Details

Profile Information

Need Help?

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.