Publications citing Waveform Database Software Package (WFDB) for MATLAB and Octave v0.10.0

Interpretable morphological features for efficient single-lead automatic ventricular ectopy detection
John Malik, Zak Loring, Jonathan Paul Piccini et al. Journal of Electrocardiology, 2020. Cites: paper

R Peak Detection in ECG signals using Chebfun
Yamini Madan, Shamika Ganesan, B Ganga Gowri et al. IEEE International Conference on Cloud Computing in Emerging Markets (CCEM), 2020. Cites: paper

Significance of trends in gait dynamics
Klaudia Kozłowska, Mirosław Łątka, Bruce J. West. PLoS Computational Biology, 2020. Cites: paper

Signal Artifacts and Techniques for Artifacts and Noise Removal
Md. Kafiul Islam, Amir Rastegarnia, Saeid Sanei. Intelligent systems reference library, 2020. Cites: paper

Toward soft real-time stress detection using wrist-worn devices for human workspaces
Sunder Ali Khowaja, Aria Ghora Prabono, Feri Setiawan et al. Soft Computing, 2020. Cites: paper

Multidatabase ECG signal processing
Taissir Fekih Romdhane, Ridha Ouni, Mohamed Atri. International Conference on Advanced Technologies for Signal and Image Processing, 2020. Cites: paper

The hopping discrete fractional Fourier transform
Yu Liu, Feng Zhang, Hongxia Miao et al. Signal Processing, 2020. Cites: paper

Self-Powered Cardiac Monitoring: Maintaining Vigilance With Multi-Modal Harvesting and E-Textiles
Luis Javier Lopez Ruiz, Matthew Ridder, Dawei Fan et al. IEEE Sensors Journal, 2020. Cites: paper

Online Model-Based Beat-by-beat Heart Rate Estimation
Adnan Albaba, Alexander Vladimirovich Medvedev. Proceedings of the ... American Control Conference/Proceedings of the American Control Conference, 2020. Cites: paper

ECG heartbeat classification by means of variable rational projection
Gergő Bognár, Sandor Fridli. Biomedical Signal Processing and Control, 2020. Cites: paper

Heat map visualization for electrocardiogram data analysis
Haisen Guo, Weidai Zhang, Chumin Ni et al. BMC Cardiovascular Disorders, 2020. Cites: paper

Patient-Specific Electrocardiogram Monitoring by Model-Based Stochastic Anomaly Detection
Adnan Albaba, Alexander Vladimirovich Medvedev. European Control Conference (ECC), 2020. Cites: paper

An adaptive QRS detection algorithm for ultra-long-term ECG recordings
John Malik, Elsayed Z. Soliman, Hau‐Tieng Wu. Journal of Electrocardiology, 2020. Cites: paper

A Prototype Framework Design for Assisting the Detection of Atrial Fibrillation Using a Generic Low-Cost Biomedical Sensor
Jesús Pérez-Valero, Antonio-Javier García-Sánchez, Manuel Ruiz Marín et al. Sensors, 2020. Cites: paper

Automatic sleep stage classification using time–frequency images of CWT and transfer learning using convolution neural network
Pankaj Jadhav, Gaurav Rajguru, Debabrata Datta et al. Journal of Applied Biomedicine, 2020. Cites: paper

Genetic fuzzy logic based system for arrhythmia classification
Hela Lassoued, Raouf Ketata. Elsevier eBooks, 2020. Cites: paper

Novel Second-Order Statistics of the Chirp Cyclostationary Signals
Hongxia Miao, Feng Zhang, Ran Tao. IEEE Signal Processing Letters, 2020. Cites: paper

Orvosi jel- és képfeldolgozás transzformációs módszerekkel
Gergő Bognár. Eötvös Loránd Tudományegyetem, 2020. Cites: paper

Shannon Energy Application for Detection of ECG R-peak using Bandpass Filter and Stockwell Transform Methods
Mohd Zubir Suboh, R. JAAFAR, Nazrul Anuar Nayan et al. Advances in Electrical and Computer Engineering, 2020. Cites: paper

Clustered Standard Deviation and Its Benefit to Identify Atrial Fibrillation
Filip Plešinger, Ivo Viščor, Petr Nejedlý et al. 2019. Cites: paper

Clustered Standard Deviation and Its Benefit to Identify Atrial Fibrillation
Filip Plešinger, Ivo Viščor, Petr Nejedlý et al. Computing in cardiology, 2019. Cites: paper

Wearable Technology: Signal Recovery of Electrocardiogram from Short Spaced Leads in the Far-field Using Discrete Wavelet Transform Based Techniques
Niamh McCallan, Dewar Finlay, Pardis Biglarbeigi et al. Computing in cardiology, 2019. Cites: paper

Wearable Technology: Signal Recovery of Electrocardiogram From Short Spaced Leads in the Far-Field Using Discrete Wavelet Transform Based Techniques
Niamh McCallan, Dewar Finlay, Pardis Biglarbeigi et al. 2019. Cites: paper

Bibliography
Elsevier eBooks, 2019. Cites: paper

Oscillatory almost-cyclostationary signals
Antonio Napolitano. Elsevier eBooks, 2019. Cites: paper

Detection of Ventricular Arrhythmias using HRV Analysis and Quadratic Features
Desh Deepak Gautam, V. K. Giri, K. G. Upadhyay. Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering), 2019. Cites: paper

Automatic Detection of Cardiac Arrhythmias Using Ensemble Learning
Abdolrahman Peimankar, Mona Jafar Jajroodi, Sadasivan K Puthusserypady. IEEE Region 10 Conference (TENCON), 2019. Cites: paper

Cardiac Arrhythmia Detection from 2D ECG Images by Using Deep Learning Technique
Elif İzci, Mehmet Akif Özdemir, Mürşide Değirmenci et al. Medical Technologies Congress (TIPTEKNO), 2019. Cites: paper

Classification of Neurological States from Biosensor Signals Based on Statistical Features
Soong Qian Xin, Norashikin Yahya, Lila Iznita Izhar. IEEE Student Conference on Research and Development (SCOReD), 2019. Cites: paper

GABC based neuro-fuzzy classifier with hybrid features for ECG Beat classification
K. Muthuvel, S. Anto, T. Jerry Alexander. Multimedia Tools and Applications, 2019. Cites: paper

New Statistics of the Second-Order Chirp Cyclostationary Signals: Definitions, Properties and Applications
Hongxia Miao, Feng Zhang, Ran Tao. IEEE Transactions on Signal Processing, 2019. Cites: paper

Complexity based measures of postural stability provide novel evidence of functional decline in fragile X premutation carriers
Clodagh O’Keeffe, Laura P. Taboada, Niamh Feerick et al. Journal of NeuroEngineering and Rehabilitation, 2019. Cites: paper

Real-Time Classification for Cardiac Arrhythmia ECG Beat
Eko Ihsanto, Kalamullah Ramli, Dodi Sudiana. International Conference on Quality in Research (QiR): International Symposium on Electrical and Computer Engineering, 2019. Cites: paper

A Non-Invasive Continuous Blood Pressure Estimation Approach Based on Machine Learning
Shuo Chen, Zhong Ji, Haiyan Wu et al. Sensors, 2019. Cites: paper

Evaluation of patient electrocardiogram datasets using signal quality indexing
Nazrul Anuar Nayan, Hafifah Ab Hamid. Bulletin of Electrical Engineering and Informatics, 2019. Cites: paper

Evaluating Complexity of Fetal MEG Signals: A Comparison of Different Metrics and Their Applicability
Julia Moser, Siouar Bensaid, Eleni Kroupi et al. Frontiers in Systems Neuroscience, 2019. Cites: paper

Optimal data fusion for the improvement of QRS complex detection in multi-channel ECG recordings
Carlos A. Ledezma, Miguel Altuve. Medical & Biological Engineering & Computing, 2019. Cites: paper

Comparison of publicly available beat detection algorithms performances on the ECGs obtained by a patch ECG device
Ivan Tomašić, N. Petrovic, María Lindén et al. International Convention on Information and Communication Technology, Electronics and Microelectronics, 2019. Cites: paper

An Analytic Platform for the Rapid and Reproducible Annotation of Ventilator Waveform Data
Gregory B. Rehm, Brooks Kuhn, Monica Keiko Lieng et al. bioRxiv (Cold Spring Harbor Laboratory), 2019. Cites: paper

Scaling and correlation properties of RR and QT intervals at the cellular level
Jiyeong Kim, Disheet A. Shah, Ilya S. Potapov et al. Scientific Reports, 2019. Cites: paper

The effects of match congestion on gait complexity in female collegiate soccer players
Jay H. Williams, Daniel Joseph Jaskowak, David P. Tegarden. Translational Sports Medicine, 2019. Cites: paper

An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning
Ebrahim Al Alkeem, Song-Kyoo Kim, Chan Yeob Yeun et al. IEEE Access, 2019. Cites: paper

An Enhanced Machine Learning-Based Biometric Authentication System Using RR-Interval Framed Electrocardiograms
Song-Kyoo Kim, Chan Yeob Yeun, Paul D. Yoo. IEEE Access, 2019. Cites: paper

Comparacion de Algoritmos Lineales y no Lineales para la Deteccion del Desacoplamiento Cardiorrespiratorio en Ratas Endotoxemicas
I. M. Flores-Duarte. Revista Mexicana de Ingeniería Biomédica, 2019. Cites: paper

VFPred: A fusion of signal processing and machine learning techniques in detecting ventricular fibrillation from ECG signals
Nabil Ibtehaz, Mohammad Saifur Rahman, M. Sohel Rahman. Biomedical Signal Processing and Control, 2018. Cites: paper

Analysis of ECG in Athletes Running in Mountain Route Conditions
Pedro Gomis, Eduard Guasch, Alexandre Perera-Lluna et al. Computing in cardiology, 2018. Cites: paper

Detection of ST-Segment Variation in ECG Using Transfer Entropy
Ilya S. Potapov, E. Räsänen. Computing in cardiology, 2018. Cites: paper

Intrinsic Complexity of RR and QT Intervals at the Cellular Level
Jiyeong Kim, Ilya S. Potapov, Disheet A. Shah et al. Computing in cardiology, 2018. Cites: paper

Bivariate Markov Model Based Analysis of ECG for Accurate Identification and Classification of Premature Heartbeats and Irregular Beat-Patterns
Purva R. Gawde, Arvind K. Bansal, Jeffrey A. Nielson et al. Advances in intelligent systems and computing, 2018. Cites: paper

Biometric Clustering of ECG using Wave Peaks
Milan S. Milivojevic, Ana M. Gavrovska, Irini S. Reljin. Symposium on Neural Networks and Applications (NEUREL), 2018. Cites: paper

Cited by