| 1 |
0.83 |
Shreyasi Datta, Chetanya Puri, Ayan Mukherjee, Rohan Banerjee, Anirban Dutta Choudhury, Arijit Ukil, Soma Bandyopadhyay, Rituraj Singh, Arpan Pal, Sundeep Khandelwal |
Identifying Normal, AF and other Abnormal ECG Rhythms using a Cascaded Binary Classifier. |
shreyasi-datta-209 |
Detection of atrial fibrillation and other abnormal rhythms from ECG using a multi-layer classifier architecture |
| 1 |
0.83 |
Shenda Hong, Yuxi Zhou, Qingyun Wang, Meng Wu, Junyuan Shang |
ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks |
shenda-hong-221 |
Combining deep neural networks and engineered features for cardiac arrhythmia detection from ECG recordings |
| 1 |
0.83 |
Tomás Teijeiro, Constantino A. García, Paulo Félix, Daniel Castro |
Arrhythmia Classification from the Abductive Interpretation of Short Single-Lead ECG Records |
tomas-teijeiro-220 |
Abductive reasoning as a basis to reproduce expert criteria in ECG atrial fibrillation identification |
| 1 |
0.83 |
Morteza Zabihi, Ali Bahrami Rad |
Detection of Atrial Fibrillation in ECG Hand-held Devices Using a Random Forest Classifier. |
morteza-zabihi-208 |
|
| * |
0.83 |
Ruhi Mahajan, Oguz Akbilgic, Rishikesan Kamaleswaran, J. Andrew Howe |
Cardiac Rhythm Classification from a Short Single Lead ECG Recording via Random Forest |
ruhi-mahajan-209 |
|
| 5 |
0.82 |
Mohammed Baydoun, Lise Safatly, Hassan Ghaziri, Ali El-Haj |
|
mohammed-baydoun-208 |
|
| 5 |
0.82 |
Guangyu Bin, Minggang Shao, Jiao Huang, Guanghong Bin |
Detection of Atrial Fibrillation Using Decision Tree Ensemble |
guangyu-bin-211 |
Detection of atrial fibrillation from ECG recordings using decision tree ensemble with multi-level features |
| 5 |
0.82 |
Zhaohan Xiong, Dr Jichao Zhao |
Robust ECG Signal Classification for the Detection of Atrial Fibrillation Using Novel Neural Networks |
zhaohan-xiong-282 |
ECG signal classification for the detection of cardiac arrhythmias using a convolutional recurrent neural network |
| 5 |
0.82 |
Martin Zihlmann, Michael Tschannen, Dmytro Perekrestenko |
Convolutional Recurrent Neural Networks for Electrocardiogram Classification |
martin-zihlmann-209 |
|
| 9 |
0.81 |
Sebastian D. Goodfellow, Dr. Danny Eytan, Andrew Goodwin, Robert Greer, Dr. Peter Laussen, Dr. Mjaye Mazwi |
Classification of Atrial Fibrillation Using Multidisciplinary Features and Gradient Boosting |
sebastian-goodfellow-254 |
|
| 9 |
0.81 |
Martin Kropf, Dieter Hayn, Günter Schreier |
ECG Classification Based on Time and Frequency Domain Features Using Random Forrests |
martin-kropf-205 |
Cardiac anomaly detection based on time and frequency domain features using tree-based classifiers |
| 9 |
0.81 |
Filip Plesinger, Petr Nejedly, Josef Halamek, Ivo Viscor, Pavel Jurak |
Automatic Detection of Atrial Fibrillation and Other Arrhythmias in Holter ECG Recordings using PQRS Morphology and Rhythm Features |
filip-plesinger-210 |
Parallel use of a convolutional neural network and bagged tree ensemble for the classification of Holter ECG |
| 9 |
0.81 |
Ashish Sharma, Dr Shivnarayan Patidar |
Automated Detection of Atrial Fbrillation using Fourier-Bessel expansion and Teager Energy Operator from Electrocardiogram Signals |
ashish-sharma-210 |
|
| 9 |
0.81 |
Dawid Smoleń |
Atrial Fibrillation Detection Using Boosting and Stacking Ensemble |
dawid-smolen-206 |
|
| 9 |
0.81 |
Marcus Vollmer, Philipp Sodmann, Neetika Nath, Leonard Caanitz |
Can Supervised Learning Be Used to Classify Cardiac Rhythms? |
marcus-vollmer-240 |
A convolutional neural network for ECG annotation as the basis for classification of cardiac rhythms |
| 9 |
0.81 |
Chen Yao, Liu Dayiheng, Cheng dongdong, Hu Wei, Xu Kun, Yang Kexin, Wang Jian, Jiang Zhe |
|
chen-yao-276 |
Classification of short single-lead electrocardiograms (ECGs) for atrial fibrillation detection using piecewise linear spline and XGBoost |
| x |
0.81 |
Radovan Smíšek, Lukáš Smital, Martin Vítek, Marina Ronzhina, Jakub Hejč, Andrea Němcová, Lucie Maršánová, Jiří Chmelík, Jana Kolářová, Ivo Provazník |
SVM Based ECG Classification Using Rhythm and Morphology Features, Cluster Analysis and Multilevel Noise Estimation |
radovan-smisek-213 |
Multi-stage SVM approach for cardiac arrhythmias detection in short single-lead ECG recorded by a wearable device |
| x |
0.81 |
Maurizio Varanini, Lucia Billeci |
Detection of AF and Other Rhythms Using RR Variability and ECG Spectrum Measures |
maurizio-varanini-213 |
|
| 16 |
0.80 |
Joachim A. Behar, Aviv Rosenberg, Yael Yaniv, Julien Oster |
Rhythm and Quality Classification from Short ECGs Recorded using a Mobile Device |
joachim-behar-214 |
|
| 16 |
0.80 |
Ivaylo Christov, Vessela Krasteva, Iana Simova, Tatyana Neycheva, Ramun Schmid |
Multi-parametric Analysis for Atrial Fibrillation Classification in the ECG |
ivaylo-christov-204 |
Ranking of the most reliable beat morphology and heart rate variability features for the detection of atrial fibrillation in short single-lead ECG |
| 16 |
0.80 |
Chen Jiayu, Nigel Lovell, Stephen Redmond, Heba Khamis |
|
chen-jiayu-202 |
|
| 16 |
0.80 |
Jonathan Rubin, Saman Parvaneh, Asif Rahman, Saeed Babaeizadeh, Bryan Conroy |
Densely Connected Convolutional Networks and Signal Quality Analysis to Detect Atrial Fibrillation Using Short Single-Lead ECG Recordings |
jonathan-rubin-226 |
Analyzing single-lead short ECG recordings using dense convolutional neural networks and feature-based post-processing to detect atrial fibrillation |
| 16 |
0.80 |
Dionisije Sopic, Elisabetta De Giovanni, Amir Aminifar, David Atienza |
A Hierarchical Cardiac Rhythm Classification Methodology Based on Electrocardiogram Fiducial Points |
dionisije-sopic-208 |
|
| 16 |
0.80 |
Gliner Vadim, Yaniv Yael |
Identification of Features for Machine Learning Analysis for Automatic Arrhythmogenic Event Classification |
gliner-vadim-210 |
An SVM approach for identifying atrial fibrillation |
| 16 |
0.80 |
Philip A. Warrick, Masun Nabhan Homsi |
Cardiac Arrhythmia Detection from ECG Combining Convolutional and Long Short-Term Memory Networks |
philip-warrick-204 |
Ensembling convolutional and long short-term memory networks for electrocardiogram arrhythmia detection |
| * |
0.80 |
Na Liu |
|
na-liu-210 |
A support vector machine approach for AF classification from a short single-lead ECG recording |
| 25 |
0.79 |
Fernando Andreotti, Oliver Carr, Marco A. F. Pimentel, Adam Mahdi, Maarten De Vos |
Comparing Feature Based Classifiers and Convolutional Neural Networks to Detect Arrhythmia from Short Segments of ECG |
fernando-andreotti-222 |
|
| 25 |
0.79 |
Csaba Botos, Márton Áron Goda, Tamás Hakkel, Szilvia Herczeg, István Osztheimer, András Horváth |
|
csaba-botos-247 |
|
| 25 |
0.79 |
Marco Delai, Gaetano Scebba, Patrick Schwab, Jia Zhang |
Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks |
marco-delai-245 |
|
| 25 |
0.79 |
Sasan Yazdani, Jean-Marc Vesin |
Heart Rhythm Classification using Short-term ECG Atrial and Ventricular Activity Analysis |
sasan-yazdani-204 |
|
| 29 |
0.78 |
Christoph Hoog Antink, Anne Kristin Braczynski, Steffen Leonhardt, Marian Walter |
Fusing QRS Detection, Waveform Features, and Robust Interval Estimation with a Random Forest to Classify Atrial Fibrillation |
christoph-hoog-antink-207 |
|
| 29 |
0.78 |
Runnan He, Yang Liu |
Diagnosis of AF Based on Time and Frequency Features by using a Hierarchical Classifier |
runnan-he-210 |
|
| 29 |
0.78 |
Vykintas Maknickas, Algirdas Maknickas |
Atrial Fibrillation Classification Using QRS Complex Features and LSTM |
vykintas-maknickas-210 |
|
| 29 |
0.78 |
Nadi Sadr, Thuy Pham, Madhuka Jayawardhana, Asghar Balaie, Rui Tang, Philip de Chazal |
|
nadi-sadr-208 |
A low-complexity algorithm for detection of atrial fibrillation using an ECG |
| * x |
0.78 |
Ruhi Mahajan, Oguz Akbilgic, Rishikesan Kamaleswaran, J. Andrew Howe |
Cardiac Rhythm Classification from a Short Single Lead ECG Recording via Random Forest |
oguz-akbilgic-219.zip |
|
| 34 |
0.77 |
Mohamed Limam, Frederic Precioso |
AF Detection and ECG Classification based on Convolutional Recurrent Neural Network |
mohamed-limam-237 |
|
| 34 |
0.77 |
Miguel Lozano, Viktor Kifer, Francisco Martinez-Gil |
|
miguel-lozano-220 |
|
| 34 |
0.77 |
Elena Simarro Mondéjar, Santiago Jiménez Serrano, Jaime Yagüe Mayans, Conrado J. Calvo, Paco Castells, José Millet Roig |
Atrial Fibrillation Detection Using Feedforward Neural Networks and Automatically Extracted Signal Features |
elena-simarro-mondejar-216 |
|
| 34 |
0.77 |
Bradley M Whitaker, Muhammed Rizwan, V Burak Aydemir, David V Anderson |
AF Classification from ECG Recording Using Feature Ensemble and Sparse Coding |
bradley-whitaker-214 |
AF detection from ECG recordings using feature selection, sparse coding, and ensemble learning |
| 38 |
0.76 |
Teo Soo-Kng, Yang Xulei, Nguyen Phu Binh, Gabriel Tjio, Feng Ling, Su Yi, Lim Toon Wei |
|
teo-soo-kng-244 |
|
| 39 |
0.75 |
Joel Karel, Pietro Bonizzi, Kurt Driessens |
Detection of Atrial Fibrillation Episodes from Short Single Lead Recordings by Means of Ensemble Learning |
joel-karel-203 |
|
| 39 |
0.75 |
Zhenning Mei, Hongyu Chen, Xiao Gu, Wei Chen |
|
zhenning-mei-209 |
|
| 39 |
0.75 |
Rymko, Perka, Solinski, Rosinski, Lepek |
|
rymko-207 |
|
| 39 |
0.75 |
Katarzyna Stepien, Iga Grzegorczyk |
Classification of ECG Recordings with Neural Networks Based on Specific Morphological Features and Regularity of the Signal |
katarzyna-stepien-209 |
|
| 44 |
0.74 |
Griet Goovaerts, Martijn Boussé, Otto Debals, Lieven De Lathauwer, Sabine Van Huffel |
|
griet-goovaerts-206.zip |
|
| 45 |
0.73 |
Pedro Álvarez, Andreu M. Climent, María S. Guillem |
|
pedro-alvarez-204 |
|
| 45 |
0.73 |
Javier de la Torre Costa, Alfredo Torregrosa Lloret, Aitana Pascual Belda, Gabriel García Pardo |
|
javier-de-la-torre-costa-205.zip |
|
| 45 |
0.73 |
Victor Manuel José Ocoa |
|
victor-manuel-jose-ocoa-202.zip |
|
| 45 |
0.73 |
Heikki Väänänen, Jarno Mäkelä |
Electrocardiogram Classification – a Human Expert Way |
heikki-vaananen-201 |
|
| 45 |
0.73 |
Vignesh Kalidas |
|
vignesh-kalidas-204 |
|
| 50 |
0.72 |
Kamran Kiani, Shadi Ghiasi, Mostafa Abdollahpur, Nasim Madani |
Atrial Fibrillation Detection Using Feature Based Algorithm and Deep Conventional Neural Network |
kamran-kiani-203 |
|
| 51 |
0.71 |
Jos van der Westhuizen |
|
jos-van-der-westhuizen-206 |
|
| * |
0.71 |
Sandeep Chandra Bollepalli, S Sastry Challa, Soumya Jana, Shivnarayan Patidar |
Atrial Fibrillation Detection Using Convolutional Neural Networks |
b-s-chandra-207 |
|
| * |
0.71 |
Yonghan Jung, Mohammad Adibuzzaman, Yao Chen, Yuehwern Yih |
|
yonghan-jung-274 |
|
| * |
0.71 |
Ludi Wang |
|
ludi-wang-206 |
|
| 53 |
0.69 |
Ahmad B. A. Hassanat, Ghada Awad Altarawneh |
|
ahmad-hassanat-206 |
|
| 54 |
0.64 |
Irena Jekova, Todor Stoyanov, Ivan Dotsinsky |
Arrhythmia Classification via Time and Frequency Domain Analyses of Ventricular and Atrial Contractions |
irena-jekova-204 |
|
| 55 |
0.63 |
Lluís Borràs Ferrís, Ignacio José Pascual Fernández, Julio José Silva Rodríguez, Roberto Zazo Manzaneque |
|
lluis-borras-ferris-205 |
|
| 57 |
0.61 |
Ruhallah Amandi M, Mohammad Farhadi, A.J. Zarrin |
|
ruhallah-amandi-205 |
|
| 57 |
0.61 |
Ilya Potapov, Otto Pulkkinen, Esa Räsänen |
|
ilya-potapov-245 |
|
| 59 |
0.58 |
Matthieu Da Silva-Filarder, Faezeh Marzbanrad |
Combining Template-based and Feature-based Classification to Detect Atrial Fibrillation from a Short Single Lead ECG Recording |
matthieu-da-silva-filarder-204 |
|
| 60 |
0.56 |
María Rebeca Lliguin León, Marta Mares García, Juliana Andrea Suárez Hernández |
|
maria-rebeca-lliguin-leon-204 |
|
| 61 |
0.55 |
Erin Coppola |
|
erin-coppola-202 |
|
| 62 |
0.53 |
Octavian-Lucian Hasna, Rodica Potolea |
Robust Feature Extraction from Noisy ECG for Atrial Fibrillation Detection |
octavian-lucian-hasna-202 |
|
| 62 |
0.53 |
Carlos Fambuena Santos, Carlos Lopez Gomez, Pablo Abad Martinez, Gonzalo Collantes Pablo, Jose Millet Roig, Francisco Sales Castells Ramon |
|
carlos-fambuena-santos-202 |
|
| 64 |
0.51 |
Ines Chavarria Marques, Irene Cuenca Ortola, Laura Ferrero Montes, Eva Gil San Antonio |
|
ines-chavarria-marques-204 |
|
| 65 |
0.50 |
Mihalis Nicolaou, Hooman Oroojeni Mohamad Javad |
|
mihalis-nicolaou-226 |
|
| 67 |
0.25 |
Raviteja Mullapudi, Rajarao Mullapudi, Phanikiran Chintalapati |
|
raviteja-mullapudi-203 |
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