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Cuiwei Yang

Showing results (11-20 of 69) with videos related to

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Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi|August 24, 2007
[Initial study on the characterization of atrial fibrillation in epicardial mapping]Cuiwei Yang, Zuxiang Fang, Xiaomei Wu
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
A Deep Learning Method to Detect Atrial Fibrillation Based on Continuous Wavelet TransformZiqian Wu, Xujian Feng, Cuiwei Yang
Medical Engineering & Physics|August 29, 2012
Predicting atrial fibrillation inducibility in a canine model by multi-threshold spectra of the recurrence complex networkBaodan Bai, Yuanyuan Wang, Cuiwei Yang
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Recognition of Premature Ventricular Contraction Beat from 12Lead ECG Based on A Novel Detection Function of QRS OnsetKaiyue He, Gaoyan Zhong, Xiaoman Ding, et al.
Zhongguo Yi Liao Qi Xie Za Zhi = Chinese Journal of Medical Instrumentation|November 22, 2011
[An adaptive filtering algorithm applied to inhibit the interference from the ventricular during atrial epicardial mapping experiment]Liqian Sun, Liang Liu, Yanlei Wang, et al.
Computers in Biology and Medicine|July 19, 2022
MGNN: A multiscale grouped convolutional neural network for efficient atrial fibrillation detectionSen Liu, Aiguo Wang, Xintao Deng, et al.
Frontiers in Cardiovascular Medicine|February 23, 2023
Value of baseline characteristics in the risk prediction of atrial fibrillationJiacheng He, Sen Liu, Cuiwei Yang, et al.
Frontiers in Physiology|November 25, 2022
A 3D-CNN with temporal-attention block to predict the recurrence of atrial fibrillation based on body-surface potential mapping signalsGaoyan Zhong, Xujian Feng, Han Yuan, et al.
Physiological Measurement|November 9, 2020
A novel method for continuous blood pressure estimation based on a single-channel photoplethysmogram signalQihan Hu, Xintao Deng, Aiguo Wang, et al.
Journal of Interventional Cardiac Electrophysiology : an International Journal of Arrhythmias and Pacing|April 25, 2023
A "two-step classification" machine learning method for non-invasive localization of premature ventricular contraction origins based on 12-lead ECGYiwen Wang, Xujian Feng, Gaoyan Zhong, et al.
Pageof 7

Showing results (11-20 of 69) with videos related to

Sort By:
Pageof 7
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi|August 24, 2007
[Initial study on the characterization of atrial fibrillation in epicardial mapping]Cuiwei Yang, Zuxiang Fang, Xiaomei Wu
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
A Deep Learning Method to Detect Atrial Fibrillation Based on Continuous Wavelet TransformZiqian Wu, Xujian Feng, Cuiwei Yang
Medical Engineering & Physics|August 29, 2012
Predicting atrial fibrillation inducibility in a canine model by multi-threshold spectra of the recurrence complex networkBaodan Bai, Yuanyuan Wang, Cuiwei Yang
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Recognition of Premature Ventricular Contraction Beat from 12Lead ECG Based on A Novel Detection Function of QRS OnsetKaiyue He, Gaoyan Zhong, Xiaoman Ding, et al.
Zhongguo Yi Liao Qi Xie Za Zhi = Chinese Journal of Medical Instrumentation|November 22, 2011
[An adaptive filtering algorithm applied to inhibit the interference from the ventricular during atrial epicardial mapping experiment]Liqian Sun, Liang Liu, Yanlei Wang, et al.
Computers in Biology and Medicine|July 19, 2022
MGNN: A multiscale grouped convolutional neural network for efficient atrial fibrillation detectionSen Liu, Aiguo Wang, Xintao Deng, et al.
Frontiers in Cardiovascular Medicine|February 23, 2023
Value of baseline characteristics in the risk prediction of atrial fibrillationJiacheng He, Sen Liu, Cuiwei Yang, et al.
Frontiers in Physiology|November 25, 2022
A 3D-CNN with temporal-attention block to predict the recurrence of atrial fibrillation based on body-surface potential mapping signalsGaoyan Zhong, Xujian Feng, Han Yuan, et al.
Physiological Measurement|November 9, 2020
A novel method for continuous blood pressure estimation based on a single-channel photoplethysmogram signalQihan Hu, Xintao Deng, Aiguo Wang, et al.
Journal of Interventional Cardiac Electrophysiology : an International Journal of Arrhythmias and Pacing|April 25, 2023
A "two-step classification" machine learning method for non-invasive localization of premature ventricular contraction origins based on 12-lead ECGYiwen Wang, Xujian Feng, Gaoyan Zhong, et al.
Pageof 7