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ECG Heartbeat Classification: A Deep Transferable Representation

19 April 2018

Papers citing "ECG Heartbeat Classification: A Deep Transferable Representation"

48 / 48 papers shown

Title
Uncertainty-Aware Multi-view Arrhythmia Classification from ECG Mohd Ashhad Sana Rahmani Mohammed Fayiz Ali Etemad J. Hashemi 22 1 0 01 Jun 2025
The Maximal Overlap Discrete Wavelet Scattering Transform and Its Application in Classification Tasks Leonardo Fonseca Larrubia Pedro Alberto Morettin Chang Chiann 29 0 0 23 May 2025
P2W: From Power Traces to Weights Matrix -- An Unconventional Transfer Learning Approach Roozbeh Siyadatzadeh Fatemeh Mehrafrooz Nele Mentens Todor Stefanov 77 0 0 24 Feb 2025
MedFuncta: Modality-Agnostic Representations Based on Efficient Neural Fields Paul Friedrich Florentin Bieder P. Cattin MedIm 167 0 0 20 Feb 2025
TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification Nelly Elsayed Constantinos L. Zekios Navid Asadizanjani Zag ElSayed 42 0 0 13 Jan 2024
BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis Xiaomin Li Mykhailo Sakevych G. Atkinson V. Metsis MedIm 73 9 0 12 Jan 2024
EKGNet: A 10.96μW Fully Analog Neural Network for Intra-Patient Arrhythmia Classification B. Haghi Lin Ma Sahin Lale A. Anandkumar Azita Emami 32 0 0 24 Oct 2023
PulseNet: Deep Learning ECG-signal classification using random augmentation policy and continous wavelet transform for canines Andre Dourson R. Santilli F. Marchesotti Jennifer Schneiderman Oliver Roman Stiel ... Michael Fitzke Norbert Sithirangathan Emil Walleser Xiaoli Qiao Mark Parkinson 68 1 0 17 May 2023
Information Theory Inspired Pattern Analysis for Time-series Data Yushan Huang Yuchen Zhao Alexander Capstick Francesca Palermo Hamed Haddadi Payam Barnaghi AI4TS 54 1 0 22 Feb 2023
Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce Hospitals Ruiqing Ding Fang-Ning Rong Xiao Han Leye Wang 58 5 0 11 Feb 2023
Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement Che Liu Sibo Cheng Weiping Ding Rossella Arcucci 68 11 0 10 Jan 2023
Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling Yifei Zhang Nengneng Gao Cunqing Ma 69 6 0 07 Dec 2022
Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation Ben Dai Xiaotong Shen Lingzhi Chen Chunlin Li Wei Pan FAtt 63 2 0 18 Nov 2022
Survey of Machine Learning Techniques To Predict Heartbeat Arrhythmias S. Armstrong 22 1 0 22 Aug 2022
ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases Jintai Chen Kuan-Yu Liao Kun Wei Haochao Ying Benlin Liu Jian Wu MedIm 48 19 0 21 Jul 2022
Semi-unsupervised Learning for Time Series Classification Padraig Davidson M. Steininger A. Huhn Anna Krause Andreas Hotho 65 1 0 07 Jul 2022
ECG Heartbeat classification using deep transfer learning with Convolutional Neural Network and STFT technique Min Cao Tianqi Zhao Yanxun Li Wenhao Zhang P. Benharash Ramin Ramezani 72 28 0 28 Jun 2022
ECG beat classification using machine learning and pre-trained convolutional neural networks N. Gai 32 5 0 14 Jun 2022
Analysis of Augmentations for Contrastive ECG Representation Learning S. Soltanieh Ali Etemad J. Hashemi SSL 57 19 0 30 May 2022
Real-time privacy preserving disease diagnosis using ECG signal G. Miao A. Ding Samuel S. Wu 51 2 0 08 Feb 2022
SIM-ECG: A Signal Importance Mask-driven ECGClassification System K. Dharma Chicheng Zhang C. Gniady P. Agarwal Sushil Sharma 43 0 0 28 Oct 2021
A Regularization Method to Improve Adversarial Robustness of Neural Networks for ECG Signal Classification Linhai Ma Liang Liang 99 21 0 19 Oct 2021
Snippet Policy Network for Multi-class Varied-length ECG Early Classification Yu Huang Gary G. Yen V. Tseng 64 13 0 28 Jul 2021
ECG Heartbeat Classification Using Multimodal Fusion Zeeshan Ahmad Anika Tabassum L. Guan N. Khan 60 84 0 21 Jul 2021
ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks Khondker Fariha Hossain Sharif Amit Kamran Alireza Tavakkoli Lei Pan Daniel Ma Sutharshan Rajasegarar Chandan Karmaker GAN AAML 72 27 0 16 Jul 2021
HALF: Holistic Auto Machine Learning for FPGAs Jonas Ney D. Loroch Vladimir Rybalkin Nicolas Weber Jens Krüger Norbert Wehn 35 11 0 28 Jun 2021
Universal Consistency of Deep Convolutional Neural Networks Shao-Bo Lin Kaidong Wang Yao Wang Ding-Xuan Zhou 72 23 0 23 Jun 2021
ECG Heart-beat Classification Using Multimodal Image Fusion Zeeshan Ahmad Anika Tabassum N. Khan L. Guan 56 24 0 28 May 2021
Neko: a Library for Exploring Neuromorphic Learning Rules Zixuan Zhao Nathan Wycoff N. Getty Rick L. Stevens Fangfang Xia 36 3 0 01 May 2021
Convolutional Dynamic Alignment Networks for Interpretable Classifications Christian Stewart Mario Fritz Bernt Schiele 31 57 0 31 Mar 2021
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs Harini Suresh Kathleen M. Lewis John Guttag Arvind Satyanarayan FAtt 93 26 0 17 Feb 2021
Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels Jintai Chen Hongyun Yu Ruiwei Feng Benlin Liu Jian Wu 48 13 0 09 Feb 2021
Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG Dacheng Chen Dan Li Xiuqin Xu Ruizhi Yang See-Kiong Ng 26 4 0 19 Jan 2021
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs Cheng Wang Carolin (Haas) Lawrence Mathias Niepert UQCV 58 10 0 24 Nov 2020
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification Tomer Golany Daniel Freedman Kira Radinsky GAN 57 71 0 27 Jun 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma Liang Liang AAML 143 19 0 19 May 2020
HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks Sajad Mousavi Fatemeh Afghah U. Rajendra 55 97 0 12 Feb 2020
Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms Arjun Gupta Eliu A. Huerta Zhizhen Zhao I. Moussa 59 27 0 16 Dec 2019
AI Aided Noise Processing of Spintronic Based IoT Sensor for Magnetocardiography Application Attayeb Mohsen M. Al-Mahdawi M. Fouda M. Oogane Y. Ando Z. Fadlullah 36 13 0 08 Nov 2019
Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery Shawn Tan Guillaume Androz A. Chamseddine P. Fecteau Aaron Courville Yoshua Bengio Joseph Paul Cohen 54 29 0 21 Oct 2019
Unsupervised Representation for EHR Signals and Codes as Patient Status Vector Sajad Darabi Mohammad Kachuee Majid Sarrafzadeh 52 4 0 04 Oct 2019
Synthesis of Realistic ECG using Generative Adversarial Networks Anne Marie Delaney Eoin Brophy T. Ward 71 82 0 19 Sep 2019
Interpretable and Steerable Sequence Learning via Prototypes Yao Ming Panpan Xu Huamin Qu Liu Ren AI4TS 66 141 0 23 Jul 2019
Topological Data Analysis for Arrhythmia Detection through Modular Neural Networks Meryll Dindin Yuhei Umeda Frédéric Chazal 34 47 0 13 Jun 2019
An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network Thanh Tung Khuat Fang Chen Bogdan Gabrys 63 16 0 29 May 2019
Ultra Low-Power and Real-time ECG Classification Based on STDP and R-STDP Neural Networks for Wearable Devices Alireza Amirshahi Matin Hashemi 75 86 0 08 May 2019
LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices Saeed Saadatnejad M. Oveisi Matin Hashemi 45 302 0 12 Dec 2018
Detecting and interpreting myocardial infarction using fully convolutional neural networks Nils Strodthoff C. Strodthoff 100 154 0 18 Jun 2018