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HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using
  Hierarchical Attention Networks

HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks

12 February 2020
Sajad Mousavi
Fatemeh Afghah
U. Rajendra
ArXivPDFHTML

Papers citing "HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks"

13 / 13 papers shown
Title
Hierarchical Attention Network for Interpretable ECG-based Heart Disease Classification
Hierarchical Attention Network for Interpretable ECG-based Heart Disease Classification
Mario Padilla Rodriguez
Mohamed Nafea
28
0
0
25 Mar 2025
SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in
  Atrial Fibrillation Detection from Noisy PPG Signals
SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals
Runze Yan
C. Ding
Ran Xiao
Aleksandr Fedorov
Randall J Lee
Fadi B Nahab
Xiao Hu
27
2
0
15 Apr 2024
Deciphering Heartbeat Signatures: A Vision Transformer Approach to
  Explainable Atrial Fibrillation Detection from ECG Signals
Deciphering Heartbeat Signatures: A Vision Transformer Approach to Explainable Atrial Fibrillation Detection from ECG Signals
Aruna Mohan
Danne C. Elbers
Or Zilbershot
Fatemeh Afghah
David Vorchheimer
MedIm
18
1
0
12 Feb 2024
RawECGNet: Deep Learning Generalization for Atrial Fibrillation
  Detection from the Raw ECG
RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection from the Raw ECG
N. Ben-Moshe
K. Tsutsui
Shany Biton Brimer
L. Sörnmo
Joachim A. Behar
35
6
0
26 Dec 2023
ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised
  Representation Learning
ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning
Seokmin Choi
Sajad Mousavi
Phillip Si
Haben Yhdego
Fatemeh Khadem
Fatemeh Afghah
SSL
34
3
0
10 Jun 2023
MMA-RNN: A Multi-level Multi-task Attention-based Recurrent Neural
  Network for Discrimination and Localization of Atrial Fibrillation
MMA-RNN: A Multi-level Multi-task Attention-based Recurrent Neural Network for Discrimination and Localization of Atrial Fibrillation
Yifan Sun
Jingyan Shen
Yunfan Jiang
Zhaohui Huang
Minsheng Hao
Xuegong Zhang
20
5
0
07 Feb 2023
Explainable AI for clinical and remote health applications: a survey on
  tabular and time series data
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Flavio Di Martino
Franca Delmastro
AI4TS
28
90
0
14 Sep 2022
IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG
  Classification
IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification
Likith Reddy
V. Talwar
S. Alle
R. Bapi
U. Priyakumar
16
17
0
06 Apr 2022
Automated Atrial Fibrillation Classification Based on Denoising Stacked
  Autoencoder and Optimized Deep Network
Automated Atrial Fibrillation Classification Based on Denoising Stacked Autoencoder and Optimized Deep Network
Prateek Singh
Ambalika Sharma
S. Maiya
16
10
0
26 Jan 2022
SIM-ECG: A Signal Importance Mask-driven ECGClassification System
SIM-ECG: A Signal Importance Mask-driven ECGClassification System
K. Dharma
Chicheng Zhang
C. Gniady
P. Agarwal
Sushil Sharma
31
0
0
28 Oct 2021
Designing ECG Monitoring Healthcare System with Federated Transfer
  Learning and Explainable AI
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI
Ali Raza
K. Tran
L. Koehl
Shujun Li
24
126
0
26 May 2021
Intuitively Assessing ML Model Reliability through Example-Based
  Explanations and Editing Model Inputs
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs
Harini Suresh
Kathleen M. Lewis
John Guttag
Arvind Satyanarayan
FAtt
40
25
0
17 Feb 2021
A Graph-constrained Changepoint Detection Approach for ECG Segmentation
A Graph-constrained Changepoint Detection Approach for ECG Segmentation
Atiyeh Fotoohinasab
T. Hocking
Fatemeh Afghah
14
7
0
24 Apr 2020
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