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1
Inherited Ventricular Arrhythmia in Zebrafish: Genetic Models and Phenotyping Tools
Inherited Ventricular Arrhythmia in Zebrafish: Genetic Models and Phenotyping Tools
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Inherited Ventricular Arrhythmia in Zebrafish: Genetic Models and Phenotyping Tools

Reviews of physiology, biochemistry and pharmacology, 2023, Vol.184, p.33 [Peer Reviewed Journal]

2021. The Author(s), under exclusive license to Springer Nature Switzerland AG. ;ISSN: 0303-4240 ;EISSN: 1617-5786 ;DOI: 10.1007/112_2021_65 ;PMID: 34533615

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2
Pharmacology of Cardiac Potassium Channels
Pharmacology of Cardiac Potassium Channels
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Pharmacology of Cardiac Potassium Channels

Advances in Pharmacology, 2010, Vol.59, p.93-134 [Peer Reviewed Journal]

2010 Elsevier Inc. ;Copyright © 2010 Elsevier Inc. All rights reserved. ;ISSN: 1054-3589 ;ISBN: 0123849039 ;ISBN: 9780123849038 ;EISSN: 1557-8925 ;EISBN: 0123849047 ;EISBN: 9780123849045 ;DOI: 10.1016/S1054-3589(10)59004-5 ;OCLC: 694146480 ;PMID: 20933200 ;LCCallNum: RM30.A4eb vol. 59

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3
Effects of Exercise on Arrhythmia (and Viceversa): Lesson from the Greek Mythology
Effects of Exercise on Arrhythmia (and Viceversa): Lesson from the Greek Mythology
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Effects of Exercise on Arrhythmia (and Viceversa): Lesson from the Greek Mythology

Advances in experimental medicine and biology, 2017, Vol.1000, p.85-93 [Peer Reviewed Journal]

Springer Nature Singapore Pte Ltd. 2017 ;ISSN: 0065-2598 ;ISBN: 9789811043031 ;ISBN: 9811043035 ;EISSN: 2214-8019 ;EISBN: 9811043043 ;EISBN: 9789811043048 ;DOI: 10.1007/978-981-10-4304-8_6 ;PMID: 29098617

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4
A DNN for Arrhythmia Prediction Based on ECG
A DNN for Arrhythmia Prediction Based on ECG
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A DNN for Arrhythmia Prediction Based on ECG

Health Information Science, p.146-153 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2020 ;ISSN: 0302-9743 ;ISBN: 9783030619503 ;ISBN: 3030619508 ;EISSN: 1611-3349 ;EISBN: 9783030619510 ;EISBN: 3030619516 ;DOI: 10.1007/978-3-030-61951-0_14

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5
ECG-Based Arrhythmia Detection Using Attention-Based Convolutional Neural Network
ECG-Based Arrhythmia Detection Using Attention-Based Convolutional Neural Network
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ECG-Based Arrhythmia Detection Using Attention-Based Convolutional Neural Network

Data Science, p.481-504 [Peer Reviewed Journal]

Springer Nature Singapore Pte Ltd. 2021 ;ISSN: 1865-0929 ;ISBN: 9789811659393 ;ISBN: 9811659397 ;EISSN: 1865-0937 ;EISBN: 9811659400 ;EISBN: 9789811659409 ;DOI: 10.1007/978-981-16-5940-9_37

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6
An Optimized Method for Arrhythmia Classification Using Artificial Neural Network
An Optimized Method for Arrhythmia Classification Using Artificial Neural Network
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An Optimized Method for Arrhythmia Classification Using Artificial Neural Network

Intelligent and Cloud Computing, p.327-335 [Peer Reviewed Journal]

Springer Nature Singapore Pte Ltd. 2021 ;ISSN: 2190-3018 ;ISBN: 9811562016 ;ISBN: 9789811562013 ;EISSN: 2190-3026 ;EISBN: 9789811562020 ;EISBN: 9811562024 ;DOI: 10.1007/978-981-15-6202-0_33

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7
A 12-Lead ECG Arrhythmia Classification Method Based on 1D Densely Connected CNN
A 12-Lead ECG Arrhythmia Classification Method Based on 1D Densely Connected CNN
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A 12-Lead ECG Arrhythmia Classification Method Based on 1D Densely Connected CNN

Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, p.72-79 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2019 ;ISSN: 0302-9743 ;ISBN: 3030333264 ;ISBN: 9783030333263 ;EISSN: 1611-3349 ;EISBN: 9783030333270 ;EISBN: 3030333272 ;DOI: 10.1007/978-3-030-33327-0_9

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8
Topological Data Analysis for Arrhythmia Detection Through Modular Neural Networks
Topological Data Analysis for Arrhythmia Detection Through Modular Neural Networks
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Topological Data Analysis for Arrhythmia Detection Through Modular Neural Networks

Advances in Artificial Intelligence, 2020, Vol.12109, p.177-188 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2020 ;ISSN: 0302-9743 ;ISBN: 3030473570 ;ISBN: 9783030473570 ;EISSN: 1611-3349 ;EISBN: 3030473589 ;EISBN: 9783030473587 ;DOI: 10.1007/978-3-030-47358-7_17 ;OCLC: 1153854737 ;LCCallNum: QA75.5-76.95

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9
Simulation of Action Potential Duration and Its Dependence on [K]O and [Na]I in the Luo-Rudy Phase I Model
Simulation of Action Potential Duration and Its Dependence on [K]O and [Na]I in the Luo-Rudy Phase I Model
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Simulation of Action Potential Duration and Its Dependence on [K]O and [Na]I in the Luo-Rudy Phase I Model

Proceedings of International Conference on Frontiers in Computing and Systems, p.463-472

Springer Nature Singapore Pte Ltd. 2021 ;ISSN: 2194-5357 ;ISBN: 9789811578335 ;ISBN: 9811578338 ;EISSN: 2194-5365 ;EISBN: 9811578346 ;EISBN: 9789811578342 ;DOI: 10.1007/978-981-15-7834-2_44

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10
The Stress-Response MAP Kinase Signaling in Cardiac Arrhythmias
The Stress-Response MAP Kinase Signaling in Cardiac Arrhythmias
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The Stress-Response MAP Kinase Signaling in Cardiac Arrhythmias

Reviews of Physiology, Biochemistry and Pharmacology, Vol. 172, 2016, Vol.172, p.77-100 [Peer Reviewed Journal]

Springer International Publishing Switzerland 2016 ;ISSN: 0303-4240 ;ISBN: 3319499017 ;ISBN: 9783319499017 ;EISSN: 1617-5786 ;EISBN: 9783319499024 ;EISBN: 3319499025 ;DOI: 10.1007/112_2016_8 ;OCLC: 965196172 ;PMID: 27848025 ;LCCallNum: QR180-189.5

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11
Arrhythmia Detection with Antidictionary Coding and Its Application on Mobile Platforms
Arrhythmia Detection with Antidictionary Coding and Its Application on Mobile Platforms
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Arrhythmia Detection with Antidictionary Coding and Its Application on Mobile Platforms

Body Area Networks: Smart IoT and Big Data for Intelligent Health Management, p.50-67

ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019 ;ISSN: 1867-8211 ;ISBN: 3030348326 ;ISBN: 9783030348328 ;EISSN: 1867-822X ;EISBN: 3030348334 ;EISBN: 9783030348335 ;DOI: 10.1007/978-3-030-34833-5_5

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12
Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks
Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks
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Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks

Biomedical Engineering Systems and Technologies, p.311-327 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2020 ;ISSN: 1865-0929 ;ISBN: 3030469697 ;ISBN: 9783030469696 ;EISSN: 1865-0937 ;EISBN: 9783030469702 ;EISBN: 3030469700 ;DOI: 10.1007/978-3-030-46970-2_15

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13
A Modular Neural Network Approach for Cardiac Arrhythmia Classification
A Modular Neural Network Approach for Cardiac Arrhythmia Classification
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A Modular Neural Network Approach for Cardiac Arrhythmia Classification

Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, p.211-223 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2020 ;ISSN: 1860-949X ;ISBN: 9783030354442 ;ISBN: 303035444X ;EISSN: 1860-9503 ;EISBN: 3030354458 ;EISBN: 9783030354459 ;DOI: 10.1007/978-3-030-35445-9_18

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14
Building an Automatic Arrhythmia Detection Software Based on Matlab
Building an Automatic Arrhythmia Detection Software Based on Matlab
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Building an Automatic Arrhythmia Detection Software Based on Matlab

6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6), 2017, Vol.63, p.597-602

Springer Nature Singapore Pte Ltd. 2018 ;ISSN: 1680-0737 ;ISBN: 9811043604 ;ISBN: 9789811043604 ;EISSN: 1433-9277 ;EISBN: 9789811043611 ;EISBN: 9811043612 ;DOI: 10.1007/978-981-10-4361-1_102 ;OCLC: 1004994599 ;LCCallNum: R856-857

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15
Cardiac Complications in Neurocritical Care Patients
Cardiac Complications in Neurocritical Care Patients
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Cardiac Complications in Neurocritical Care Patients

Neurointensive Care Unit, p.49-56 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2020 ;ISSN: 1559-0585 ;ISBN: 9783030365479 ;ISBN: 3030365476 ;EISSN: 2524-4043 ;EISBN: 9783030365486 ;EISBN: 3030365484 ;DOI: 10.1007/978-3-030-36548-6_4

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16
Semi-automatic Tool to Identify Heterogeneity Zones in LGE-CMR and Incorporate the Result into a 3D Model of the Left Ventricle
Semi-automatic Tool to Identify Heterogeneity Zones in LGE-CMR and Incorporate the Result into a 3D Model of the Left Ventricle
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Semi-automatic Tool to Identify Heterogeneity Zones in LGE-CMR and Incorporate the Result into a 3D Model of the Left Ventricle

Image Analysis and Recognition, p.238-246 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2020 ;ISSN: 0302-9743 ;ISBN: 9783030505158 ;ISBN: 3030505154 ;EISSN: 1611-3349 ;EISBN: 3030505162 ;EISBN: 9783030505165 ;DOI: 10.1007/978-3-030-50516-5_21

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17
Partial Adenosine A1 Agonist in Heart Failure
Partial Adenosine A1 Agonist in Heart Failure
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Partial Adenosine A1 Agonist in Heart Failure

Handbook of experimental pharmacology, 2017, Vol.243, p.177-203 [Peer Reviewed Journal]

Springer International Publishing Switzerland 2016 ;ISSN: 0171-2004 ;ISBN: 3319596586 ;ISBN: 9783319596587 ;EISSN: 1865-0325 ;EISBN: 9783319596594 ;EISBN: 3319596594 ;DOI: 10.1007/164_2016_83 ;OCLC: 990142120 ;PMID: 27770217 ;LCCallNum: RM300-666

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18
Robust Detection of Atrial Arrhythmias Using Sub-modules of Different Feature Predictors
Robust Detection of Atrial Arrhythmias Using Sub-modules of Different Feature Predictors
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Robust Detection of Atrial Arrhythmias Using Sub-modules of Different Feature Predictors

Advances in Medical Physics and Healthcare Engineering, 2021, p.17-28 [Peer Reviewed Journal]

The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 ;ISSN: 2195-271X ;ISBN: 9813369140 ;ISBN: 9789813369146 ;EISSN: 2195-2728 ;EISBN: 9813369159 ;EISBN: 9789813369153 ;DOI: 10.1007/978-981-33-6915-3_3 ;OCLC: 1257951144 ;LCCallNum: R856-857

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19
Hybrid Model Based on Neural Networks and Fuzzy Logic for 2-Lead Cardiac Arrhythmia Classification
Hybrid Model Based on Neural Networks and Fuzzy Logic for 2-Lead Cardiac Arrhythmia Classification
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Hybrid Model Based on Neural Networks and Fuzzy Logic for 2-Lead Cardiac Arrhythmia Classification

Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine, p.193-217 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2020 ;ISSN: 1860-949X ;ISBN: 9783030341343 ;ISBN: 3030341348 ;EISSN: 1860-9503 ;EISBN: 9783030341350 ;EISBN: 3030341356 ;DOI: 10.1007/978-3-030-34135-0_14

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20
HRV Signal Feature Estimation and Classification for Healthcare System Based on Machine Learning
HRV Signal Feature Estimation and Classification for Healthcare System Based on Machine Learning
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HRV Signal Feature Estimation and Classification for Healthcare System Based on Machine Learning

Machine Learning, Image Processing, Network Security and Data Sciences, 2020, Vol.1241, p.437-448 [Peer Reviewed Journal]

Springer Nature Singapore Pte Ltd. 2020 ;ISSN: 1865-0929 ;ISBN: 9789811563171 ;ISBN: 9811563179 ;EISSN: 1865-0937 ;EISBN: 9789811563188 ;EISBN: 9811563187 ;DOI: 10.1007/978-981-15-6318-8_36 ;OCLC: 1175917473 ;LCCallNum: Q334-342

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