Atrial Fibrillation Detection in Short Single Lead ECG Recordings Using Wavelet Transform and Artificial Neural Networks

Wavelet Transform ◽

Artificial Neural ◽

Atrial Fibrillation Detection

IFMBE Proceedings - World Congress on Medical Physics and Biomedical Engineering 2018 ◽

Atrial Fibrillation Detection from Wrist Photoplethysmography Data Using Artificial Neural Networks

10.1007/978-981-10-9038-7_75 ◽

2018 ◽

pp. 399-404 ◽

Cited By ~ 1

Author(s):

Zeinab Rezaei Yousefi ◽

Jakub Parak ◽

Adrian Tarniceriu ◽

Jarkko Harju ◽

Arvi Yli-Hankala ◽

...

Keyword(s):

Atrial Fibrillation ◽

Neural Networks ◽

Artificial Neural ◽

Atrial Fibrillation Detection

Technical and Fundamental Analysis for the Forecast of Financial Scrip Quotation: An Approach Employing Artificial Neural Networks and Wavelet Transform

Advances in Neural Networks – ISNN 2007 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72395-0_125 ◽

2007 ◽

pp. 1024-1032

Author(s):

Anderson da Silva Soares ◽

Maria Stela Veludo de Paiva ◽

Clarimar José Coelho

Keyword(s):

Neural Networks ◽

Wavelet Transform ◽

Fundamental Analysis ◽

Technical And Fundamental Analysis ◽

Application of artificial neural networks, fuzzy logic and wavelet transform in fault diagnosis via vibration signal analysis: A review

Australian Journal of Mechanical Engineering ◽

10.1080/14484846.2009.11464588 ◽

2009 ◽

Vol 7 (2) ◽

pp. 157-171 ◽

Cited By ~ 11

Author(s):

P Jayaswal ◽

A K Wadhwani

Keyword(s):

Neural Networks ◽

Fuzzy Logic ◽

Wavelet Transform ◽

Fault Diagnosis ◽

Signal Analysis ◽

Vibration Signal ◽

Artificial Neural ◽

Vibration Signal Analysis

An Anomaly Detection Approach Using Wavelet Transform and Artificial Neural Networks for Condition Monitoring of Wind Turbines' Gearboxes

2018 Power Systems Computation Conference (PSCC) ◽

10.23919/pscc.2018.8442916 ◽

2018 ◽

Cited By ~ 1

Author(s):

Yue Cui ◽

Pramod Bangalore ◽

Lina Bertling Tjernberg

Keyword(s):

Neural Networks ◽

Wavelet Transform ◽

Anomaly Detection ◽

Condition Monitoring ◽

Wind Turbines ◽

Detection Approach ◽

A computationally efficient hybrid approach based on artificial neural networks and the wavelet transform for quantum simulations of graphene nanoribbon FETs

Journal of Computational Electronics ◽

10.1007/s10825-019-01350-2 ◽

2019 ◽

Vol 18 (3) ◽

pp. 813-825 ◽

Cited By ~ 11

Author(s):

Khalil Tamersit ◽

Fayçal Djeffal

Keyword(s):

Neural Networks ◽

Wavelet Transform ◽

Hybrid Approach ◽

Graphene Nanoribbon ◽

Computationally Efficient ◽

Quantum Simulations ◽

Evaluation and classification of power quality disturbances based on discrete Wavelet Transform and artificial neural networks

2015 50th International Universities Power Engineering Conference (UPEC) ◽

10.1109/upec.2015.7339928 ◽

2015 ◽

Cited By ~ 5

Author(s):

Saeed Alshahrani ◽

Maysam Abbod ◽

Basem Alamri ◽

Gareth Taylor

Keyword(s):

Neural Networks ◽

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Power Quality ◽

Discrete Wavelet ◽

Power Quality Disturbances ◽

Identification of ferroresonance based on wavelet transform and artificial neural networks

2007 Australasian Universities Power Engineering Conference ◽

10.1109/aupec.2007.4548122 ◽

2007 ◽

Cited By ~ 9

Author(s):

G. Mokryani ◽

M.-R. Haghifam ◽

J. Esmaeilpoor

Keyword(s):

Neural Networks ◽

Wavelet Transform ◽

Forecasting epileptic seizures using EEG signals, wavelet transform and artificial neural networks

2011 IEEE International Symposium on IT in Medicine and Education ◽

10.1109/itime.2011.6130899 ◽

2011 ◽

Cited By ~ 3

Author(s):

K.A. Helini Kulasuriya ◽

M.U.S. Perera

Keyword(s):

Neural Networks ◽

Wavelet Transform ◽

Epileptic Seizures ◽

Eeg Signals ◽

High impedance arcing fault detection in MV networks using discrete wavelet transform and Artificial Neural Networks

2012 International Conference on Green Technologies (ICGT) ◽

10.1109/icgt.2012.6477953 ◽

2012 ◽

Cited By ~ 1

Author(s):

Gayathri Vijayachandran ◽

Bobin.K. Mathew

Keyword(s):

Neural Networks ◽

Wavelet Transform ◽

Fault Detection ◽

Discrete Wavelet Transform ◽

Discrete Wavelet ◽

High Impedance ◽

Artificial Neural ◽

Arcing Fault

Detection high impedance fault in distribution feeder using wavelet transform and artificial neural networks

2004 International Conference on Power System Technology, 2004. PowerCon 2004. ◽

10.1109/icpst.2004.1460075 ◽

2005 ◽

Cited By ~ 6

Author(s):

Ming-Ta Yang ◽

Jhy-Cherng Gu ◽

Chan-Yuan Jeng

Keyword(s):

Neural Networks ◽

Wavelet Transform ◽

High Impedance ◽

High Impedance Fault ◽

Artificial Neural ◽

Distribution Feeder