Cover Image

Explainable Deep Learning Model for Cardiac Arrhythmia Classification

Saved in:

Bibliographic Details
Main Authors:	Abdullah, Talal AA, Zahid, Mohd Soperi Bin Mohd, Tang, Tong Boon, Ali, Waleed, Nasser, Maged
Format:	Conference or Workshop Item
Published:	2022
Online Access:	http://scholars.utp.edu.my/id/eprint/36457/
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sig-Lime: An Enhancement Of Lime For Explainable Cardiac Arrhythmia Classification From ECG Signals
by: Abdullah, Talal Ali Ahmed
Published: (2024)

Ventricular arrhythmias classification based on deep learning algorithm
by: Chai, Adrian Kah Seng
Published: (2020)

Arrhythmia heart disease classification using deep learning
by: Abdulkarim Farah, Abdulkhaliq
Published: (2020)

Cardiac arrhythmia classification using self organizing MAP (SOM) - based ensemble model
by: Dayang Yasmin, binti Abang Abdul Wahab
Published: (2015)

Uncontrolled solutions for the optimal control problem of cardiac arrhythmia
by: Kin, Wei Ng, et al.
Published: (2011)

An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks
by: Ihsanto, Eko, et al.
Published: (2020)

The effects of control domain position on optimal control of cardiac arrhythmia
by: Ng, Kin Wei, et al.
Published: (2012)

Classification Of Cardiac Arrhythmia Using Hybrid Convolutional Neural Network And Bidirectional Long Short-Term Memory
by: Hassan, Shahab Ul
Published: (2022)

Performance comparison of CNN and LSTM algorithms for arrhythmia classification
by: Hassan, S.U., et al.
Published: (2020)

An optimization method based on genetic algorithm for heart rate variability analysis in the prediction of the onset of cardiac arrhythmia
by: Boon, Khang Hua
Published: (2017)

Explainable Artificial Intelligence Applied to Deep Reinforcement Learning Controllers for Photovoltaic Maximum Power Point Tracking
by: Tan, Pei Seng, et al.
Published: (2022)

Ventricular arrhythmias classification and onset determination system
by: Othman, M. A., et al.
Published: (2016)

An optimized convolutional neural network for arrhythmia classification
by: Shan, Wei Chen
Published: (2022)

Evaluation of Weight Factor Mode and EEMD performance on measuring heart rate activity in the presence of cardiac arrhythmia
by: Mohamed, Kharrat, et al.
Published: (2012)

Deep learning and explainable machine learning on hair disease detection
by: Heng, Wei Wei, et al.
Published: (2023)

Classification of ECG signals for detection of arrhythmia and congestive heart failure based on continuous wavelet transform and deep neural networks
by: Funke Olanrewaju, Rashidah, et al.
Published: (2021)

New hybrid deep learning approach using bigru-bilstm and multilayered dilated cnn to detect arrhythmia
by: Islam, Md Shofiqul, et al.
Published: (2022)

CLASSIFICATION OF CARDIAC CONDITIONS
by: MD GHANI, NORASYIKIN BT
Published: (2009)

Robust arrhythmia classifier using wavelet transform and support vector machine classification
by: Chia, Nyoke Goon, et al.
Published: (2017)

Explainable deep learning ensemble for food image analysis on edge devices
by: Tahir, Ghalib Ahmed, et al.
Published: (2021)

Explainable deep learning ensemble for food image analysis on edge devices
by: Tahir, Ghalib Ahmed, et al.
Published: (2021)

Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals
by: Elhaj, Fatin A., et al.
Published: (2016)

RULE BASED MACHINE LEARNING FOR EXPLAINABILITY OF RESULTS IN COMPLEX LITHOLOGY CLASSIFICATION
by: HOSSAIN, TOUHID MOHAMMAD
Published: (2021)

Evolution of frequency composition for Atrial arrhythmias
by: Ahmad, Anita, et al.
Published: (2014)

Diagnosis of Arrhythmia Using Neural Networks
by: SELEPE, KGAUGELO ZACHARIA
Published: (2006)

Molecular similarity searching based on deep learning for feature reduction
by: Saeed Nasser, Maged Mohammed
Published: (2022)

Classification of sd-oct images using a deep learning approach
by: Awais, Muhammad, et al.
Published: (2017)

Autism spectrum self-stimulatory behaviors classification using explainable temporal coherency deep features and SVM classifier
by: Liang, Shuaibing, et al.
Published: (2021)

A smart arrhythmia classification system based on wavelet transform and support vector machine techniques
by: Chia, Nyoke Goon
Published: (2017)

A Transfer Learning-Based Model for Brain Tumor Detection in MRI Images
by: Hencya, Faiz Rofi, et al.
Published: (2023)

Fusing results of several deep learning architectures for automatic classification of normal and diabetic macular edema in optical coherence tomography
by: Chan, Genevieve CY, et al.
Published: (2018)

Explain to rakyat how vaccine works
by: Tang, Ashley
Published: (2020)

Abnormal ECG: Arrhythmia & what to do when emergency.
by: Jamaludin, Thandar Soe Sumaiyah
Published: (2018)

Autism spectrum self-stimulatory behaviours classification using explainable temporal coherency deep networks and SVM classifier / Liang Shuaibing
by: Liang , Shuaibing
Published: (2022)

Characterization of ventricular arrhythmias using a semantic mining algorithm
by: Othman, Mohd. Afzan, et al.
Published: (2012)

Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things
by: Iqbal, Uzair, et al.
Published: (2018)

Employing explainability on facial landmarks for autism spectrum disorder diagnosis using deep CNN
by: Alam, Mohammad Shafiul, et al.
Published: (2024)

Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data
by: Nor, A.K.M., et al.
Published: (2022)

REAL-TIME ARRHYTHMIA MONITORING AND DETECTION SYSTEM FOR REMOTE DIAGNOSIS
by: SAARANI, NUR LAILA BINTI
Published: (2012)

Improved Deep Learning Based Method for Molecular Similarity Searching Using Stack of Deep Belief Networks
by: Nasser, Maged, et al.
Published: (2021)