… Feature extraction plays an important role in arrhythmia classification, and successful
arrhythmia classification generally depends on ECG feature … This paper proposed a feature …

… multidimensional feature extraction and selection method for electrocardiogram (ECG)
arrhythmias … shape features, which are combined with time-frequency features, morphological …

… tensor, in which feature fusion is directly implemented with … study, ECG records are obtained
from the MIT-BIT arrhythmia … improved by a multidimensional particle swarm optimization …

… method for arrhythmia in order to improve classification accuracy. The electrocardiogram (ECG)
signal … Then, the local and global characteristics of the beat, which contained RR interval …

… of cardiac arrhythmia analysis; that is feature extraction of the ECG … Its output is a two-dimensional
histogram, where SCM provides … Then attributes are drawn from the two-dimensional …

… Fusion convolutional neural network architecture for ECG … of our proposed multi-scale
features fusion approach. Taking … for all the categories can be visualized into a two-dimensional …

… Image Fusion (MIF) and Multimodal Feature Fusion (MFF), are … of raw ECG data into three
types of twodimensional (2D) … and then late fusion is performed for arrhythmia classification. …

… Mapping ECG signals to multivariate feature space often results in high… ECG features
obtained by different ECG feature extraction methods may be redundant or irrelevant for arrhythmia …

… two-dimensional perspective, we propose a novel Multi-Perspective feature Fusion Network
for ECG arrhythmias … -perspective features from the raw one-dimensional ECG signal and its …

… Therefore, another extended work in this article is that the specific ECG features corresponding
to each arrhythmia type are reselected in the sparse coefficient matrix obtained from MC-…