Diagnosis of Arrhythmia Based on Multi-scale Feature Fusion and Imbalanced Data
Author:
Affiliation:
1. Control Engineering, School of Information Science and Engineering,Wuhan University of Science and Technology, China
2. Hospital of WUST,Wuhan University of Science and Technology, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3529399.3529415
Reference17 articles.
1. Nonstationary Signal Denoising Using an Envelope-Tracking Filter
2. A wavelet denoising method based on improved threshold and autocorrelation
3. Arrhythmia Recognition and Classification Using ECG Morphology and Segment Feature Analysis
4. Cardiac arrhythmia classification using tunable Q-wavelet transform based features and support vector machine classifier;Biomedical Signal Processing and Control,2020
5. Towards End-to-End ECG Classification With Raw Signal Extraction and Deep Neural Networks
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