Author Correction: Application of a convolutional neural network for predicting the occurrence of ventricular tachyarrhythmia using heart rate variability features

Getu Tadele Taye; Han-Jeong Hwang; Ki Moo Lim

doi:10.1038/s41598-020-68530-0

Author Correction: Application of a convolutional neural network for predicting the occurrence of ventricular tachyarrhythmia using heart rate variability features

Scientific Reports ◽

10.1038/s41598-020-68530-0 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Getu Tadele Taye ◽

Han-Jeong Hwang ◽

Ki Moo Lim

Keyword(s):

Neural Network ◽

Heart Rate ◽

Heart Rate Variability ◽

Convolutional Neural Network ◽

Ventricular Tachyarrhythmia

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Application of a convolutional neural network for predicting the occurrence of ventricular tachyarrhythmia using heart rate variability features

Scientific Reports ◽

10.1038/s41598-020-63566-8 ◽

2020 ◽

Vol 10 (1) ◽

Cited By ~ 1

Author(s):

Getu Tadele Taye ◽

Han-Jeong Hwang ◽

Ki Moo Lim

Keyword(s):

Neural Network ◽

Heart Rate ◽

Heart Rate Variability ◽

Convolutional Neural Network ◽

Ventricular Tachyarrhythmia

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Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) ◽

10.1109/embc44109.2020.9175481 ◽

2020 ◽

Cited By ~ 1

Author(s):

Paria Amiri ◽

Hamid Abbasi ◽

Amin Derakhshan ◽

Behdad Gharib ◽

Behrang Nooralishahi ◽

...

Keyword(s):

Neural Network ◽

Intensive Care Unit ◽

Heart Rate ◽

Heart Rate Variability ◽

Intensive Care ◽

Early Diagnosis ◽

Convolutional Neural Network ◽

Prognostic Markers ◽

Pediatric Intensive Care ◽

Neural Network Classifiers

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Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) ◽

10.1109/embc44109.2020.9176395 ◽

2020 ◽

Author(s):

Paria Amiri ◽

Hamid Abbasi ◽

Amin Derakhshan ◽

Behdad Gharib ◽

Behrang Nooralishahi ◽

...

Keyword(s):

Neural Network ◽

Intensive Care Unit ◽

Heart Rate ◽

Heart Rate Variability ◽

Intensive Care ◽

Early Diagnosis ◽

Convolutional Neural Network ◽

Prognostic Markers ◽

Pediatric Intensive Care ◽

Neural Network Classifiers

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Sleep-wake classification via quantifying heart rate variability by convolutional neural network

Physiological Measurement ◽

10.1088/1361-6579/aad5a9 ◽

2018 ◽

Vol 39 (8) ◽

pp. 085004 ◽

Cited By ~ 11

Author(s):

John Malik ◽

Yu-Lun Lo ◽

Hau-tieng Wu

Keyword(s):

Neural Network ◽

Heart Rate ◽

Heart Rate Variability ◽

Convolutional Neural Network

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Prediction of spontaneous ventricular tachyarrhythmia by an artificial neural network using parameters gleaned from short-term heart rate variability

Expert Systems with Applications ◽

10.1016/j.eswa.2011.09.097 ◽

2012 ◽

Vol 39 (3) ◽

pp. 3862-3866 ◽

Cited By ~ 24

Author(s):

Segyeong Joo ◽

Kee-Joon Choi ◽

Soo-Jin Huh

Keyword(s):

Neural Network ◽

Heart Rate ◽

Artificial Neural Network ◽

Heart Rate Variability ◽

Ventricular Tachyarrhythmia ◽

Short Term ◽

Artificial Neural

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Artificial Neural Network for Classification of Possible Cardiovascular Risk Using Indexes of Heart Rate Variability

2020 17th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) ◽

10.1109/cce50788.2020.9299139 ◽

2020 ◽

Author(s):

Gabriel Vega Martinez ◽

Diego Mirabent Amor ◽

J. Gilberto Franco Sanchez ◽

Francisco Jose Ramos Becerrril ◽

Carlos Alvarado Serrano ◽

...

Keyword(s):

Neural Network ◽

Heart Rate ◽

Artificial Neural Network ◽

Heart Rate Variability ◽

Cardiovascular Risk ◽

Artificial Neural

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Heart Rate Estimation from Facial Videos Based on Convolutional Neural Network

2018 International Conference on Network Infrastructure and Digital Content (IC-NIDC) ◽

10.1109/icnidc.2018.8525602 ◽

2018 ◽

Author(s):

Wen Yang ◽

Xiaoqi Li ◽

Bin Zhang

Keyword(s):

Neural Network ◽

Heart Rate ◽

Convolutional Neural Network ◽

Rate Estimation ◽

Heart Rate Estimation

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Heart Rate Estimation during Exercise from Photoplethysmographic Signals Using Convolutional Neural Network

2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) ◽

10.1109/biocas.2019.8919185 ◽

2019 ◽

Author(s):

Masaki Nakamura ◽

Takashi Sato

Keyword(s):

Neural Network ◽

Heart Rate ◽

Convolutional Neural Network ◽

Rate Estimation ◽

Heart Rate Estimation

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Proposing a convolutional neural network for stress assessment by means of derived heart rate from functional near infrared spectroscopy

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2020.103810 ◽

2020 ◽

Vol 121 ◽

pp. 103810

Author(s):

Naser Hakimi ◽

Ata Jodeiri ◽

Mahya Mirbagheri ◽

S. Kamaledin Setarehdan

Keyword(s):

Neural Network ◽

Heart Rate ◽

Infrared Spectroscopy ◽

Convolutional Neural Network ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Functional Near Infrared Spectroscopy ◽

Stress Assessment

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Arrhythmia detection based on time–frequency features of heart rate variability and back-propagation neural network

Iran Journal of Computer Science ◽

10.1007/s42044-019-00042-1 ◽

2019 ◽

Vol 2 (4) ◽

pp. 245-257 ◽

Cited By ~ 2

Author(s):

Ram Sewak Singh ◽

Barjinder Singh Saini ◽

Ramesh Kumar Sunkaria

Keyword(s):

Neural Network ◽

Heart Rate ◽

Heart Rate Variability ◽

Back Propagation ◽

Back Propagation Neural Network ◽

Arrhythmia Detection ◽

Time Frequency ◽

Frequency Features

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