ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features
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Title
ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features
Authors
Keywords
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Journal
SENSORS
Volume 22, Issue 4, Pages 1660
Publisher
MDPI AG
Online
2022-02-21
DOI
10.3390/s22041660
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- (2020) Yun Chen et al. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
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- Multi-class Arrhythmia detection from 12-lead varied-length ECG using Attention-based Time-Incremental Convolutional Neural Network
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- An efficient compression of ECG signals using deep convolutional autoencoders
- (2018) Ozal Yildirim et al. Cognitive Systems Research
- A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification
- (2018) Özal Yildirim COMPUTERS IN BIOLOGY AND MEDICINE
- Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats
- (2018) Shu Lih Oh et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Novel methodology of cardiac health recognition based on ECG signals and evolutionary-neural system
- (2018) Paweł Pławiak EXPERT SYSTEMS WITH APPLICATIONS
- Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network
- (2018) U. Rajendra Acharya et al. Future Generation Computer Systems-The International Journal of eScience
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- (2018) Wenliang Zhu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Arrhythmia detection using deep convolutional neural network with long duration ECG signals
- (2018) Özal Yıldırım et al. COMPUTERS IN BIOLOGY AND MEDICINE
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- (2018) S Celin et al. JOURNAL OF MEDICAL SYSTEMS
- A robust deep convolutional neural network with batch-weighted loss for heartbeat classification
- (2018) Ali Sellami et al. EXPERT SYSTEMS WITH APPLICATIONS
- Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
- (2017) U. Rajendra Acharya et al. INFORMATION SCIENCES
- Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network
- (2017) U. Rajendra Acharya et al. KNOWLEDGE-BASED SYSTEMS
- A big data classification approach using LDA with an enhanced SVM method for ECG signals in cloud computing
- (2017) R. Varatharajan et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Robust reconstruction of a signal from its unthresholded recurrence plot subject to disturbances
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- (2016) Fabio A. Faria et al. PATTERN RECOGNITION LETTERS
- Atrial fibrillation and risks of cardiovascular disease, renal disease, and death: systematic review and meta-analysis
- (2016) Ayodele Odutayo et al. BMJ-British Medical Journal
- Atrial fibrillation and risks of cardiovascular disease, renal disease, and death: systematic review and meta-analysis
- (2016) Ayodele Odutayo et al. BMJ-British Medical Journal
- Application of Cross Wavelet Transform for ECG Pattern Analysis and Classification
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- Bag-of-words representation for biomedical time series classification
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- (2008) Yoshito Hirata et al. European Physical Journal-Special Topics
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