Search scope:
排序: Display mode:
Domain knowledge enhanced deep learning for electrocardiogram arrhythmia classification Research Article
Jie SUN,sunjie@nbut.edu.cn
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1, Pages 59-72 doi: 10.1631/FITEE.2100519
Keywords: Domain knowledge Cardiac arrhythmia Electrocardiogram (ECG) Clinical decision-making
A novel method based on convolutional neural networks for deriving standard 12-lead ECG from serial 3-lead ECG Regular Papers
Lu-di WANG, Wei ZHOU, Ying XING, Na LIU, Mahmood MOVAHEDIPOUR, Xiao-guang ZHOU
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3, Pages 405-413 doi: 10.1631/FITEE.1700413
Reconstruction of a 12-lead electrocardiogram (ECG) from a serial 3-lead ECG has been researched inParticularly, the presented method shows outstanding performance in reconstructing the pathological ECGaccurate and time-saving for deployment in non-hospital situations to synthesize a standard 12-lead ECGfrom a reduced lead-set ECG recording.
Keywords: Convolutional neural networks (CNNs) Electrocardiogram (ECG) synthesis E-health
Frequency-domain Analysis of ECG Signals
Tu Chengyuan,Zeng Yanjun,Li Shuxin
Strategic Study of CAE 2002, Volume 4, Issue 12, Pages 66-70
A new simple approach to effectively detect QRS — T complexes in ECG curve is described, sopower spectrum function, the auto-correlation function and cross-correlation function, two kinds of ECG
Keywords: ECG curve P-wave f-wave AF (atrial fibrillation) histogram power spectrum autocorrelation cross-correlation
Title Author Date Type Operation
Domain knowledge enhanced deep learning for electrocardiogram arrhythmia classification
Jie SUN,sunjie@nbut.edu.cn
Journal Article
A novel method based on convolutional neural networks for deriving standard 12-lead ECG from serial 3-lead ECG
Lu-di WANG, Wei ZHOU, Ying XING, Na LIU, Mahmood MOVAHEDIPOUR, Xiao-guang ZHOU
Journal Article