Atrial Fibrillation Beat Identification Using the Combination of Modified Frequency Slice Wavelet Transform and Convolutional Neural Networks
Atrial fibrillation (AF) is a serious cardiovascular disease with the phenomenon of beating irregularly. It is the major cause of variety of heart diseases, such as myocardial infarction. Automatic AF beat detection is still a challenging task which needs further exploration. A new framework, which...
Main Authors: | Xiaoyan Xu, Shoushui Wei, Caiyun Ma, Kan Luo, Li Zhang, Chengyu Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2018-01-01
|
Series: | Journal of Healthcare Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/2102918 |
Similar Items
-
Noise Rejection for Wearable ECGs Using Modified Frequency Slice Wavelet Transform and Convolutional Neural Networks
by: Zhongyao Zhao, et al.
Published: (2019-01-01) -
Automatic Detection of Short-Term Atrial Fibrillation Segments Based on Frequency Slice Wavelet Transform and Machine Learning Techniques
by: Yaru Yue, et al.
Published: (2021-08-01) -
Automatic Detection of Atrial Fibrillation Based on Continuous Wavelet Transform and 2D Convolutional Neural Networks
by: Runnan He, et al.
Published: (2018-08-01) -
Wavelet Entropy as a Measure of Ventricular Beat Suppression from the Electrocardiogram in Atrial Fibrillation
by: Philip Langley
Published: (2015-09-01) -
Determination of Parameters for an Entropy-Based Atrial Fibrillation Detector
by: Lina Zhao, et al.
Published: (2021-09-01)