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21
Developmental and Regulatory Functions of Na(+) Channel Non-pore-forming β Subunits
Developmental and Regulatory Functions of Na(+) Channel Non-pore-forming β Subunits
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Conference Proceeding 		Add to My Research

Developmental and Regulatory Functions of Na(+) Channel Non-pore-forming β Subunits

Current topics in membranes, 2016, Vol.78, p.315 [Peer Reviewed Journal]

Copyright © 2016 Elsevier Inc. All rights reserved. ;ISSN: 1063-5823 ;DOI: 10.1016/bs.ctm.2016.07.003 ;PMID: 27586289

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22
MAPPING THE JOURNEYS OF ATRIAL FIBRILLATION PATIENTS AND CITIZENS USING WEARABLE DEVICES FOR REMOTE CARDIAC MONITORING
MAPPING THE JOURNEYS OF ATRIAL FIBRILLATION PATIENTS AND CITIZENS USING WEARABLE DEVICES FOR REMOTE CARDIAC MONITORING
Material Type:
Conference Proceeding 		Add to My Research

MAPPING THE JOURNEYS OF ATRIAL FIBRILLATION PATIENTS AND CITIZENS USING WEARABLE DEVICES FOR REMOTE CARDIAC MONITORING

Proceedings of the Design Society, 2023, Vol.3, p.2575-2584

The Author(s), 2023. Published by Cambridge University Press. This work is licensed under the Creative Commons Attribution – Non-Commercial – No Derivatives License This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2732-527X ;EISSN: 2732-527X ;DOI: 10.1017/pds.2023.258

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23
Heart Disorder Detection with Menard Algorithm on Apache Spark
Heart Disorder Detection with Menard Algorithm on Apache Spark
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Conference Proceeding 		Add to My Research

Heart Disorder Detection with Menard Algorithm on Apache Spark

Lecture Notes in Computer Science, 2017, Vol.LNCS-10465, p.229-237 [Peer Reviewed Journal]

IFIP International Federation for Information Processing 2017 ;Attribution ;ISSN: 0302-9743 ;ISBN: 3319672614 ;ISBN: 9783319672618 ;EISSN: 1611-3349 ;EISBN: 9783319672625 ;EISBN: 3319672622 ;DOI: 10.1007/978-3-319-67262-5_17

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24
Data Extraction Method Combined with Machine Learning Techniques for the Detection of Premature Ventricular Contractions in Real-Time
Data Extraction Method Combined with Machine Learning Techniques for the Detection of Premature Ventricular Contractions in Real-Time
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Conference Proceeding 		Add to My Research

Data Extraction Method Combined with Machine Learning Techniques for the Detection of Premature Ventricular Contractions in Real-Time

XXVII Brazilian Congress on Biomedical Engineering, p.1973-1978

Springer Nature Switzerland AG 2022 ;ISSN: 1680-0737 ;ISBN: 3030706001 ;ISBN: 9783030706005 ;EISSN: 1433-9277 ;EISBN: 303070601X ;EISBN: 9783030706012 ;DOI: 10.1007/978-3-030-70601-2_288

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25
Comparison Between J48 and MLP on QRS Classification Through Complexity Measures
Comparison Between J48 and MLP on QRS Classification Through Complexity Measures
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Conference Proceeding 		Add to My Research

Comparison Between J48 and MLP on QRS Classification Through Complexity Measures

XXVII Brazilian Congress on Biomedical Engineering, p.1851-1856

Springer Nature Switzerland AG 2022 ;ISSN: 1680-0737 ;ISBN: 3030706001 ;ISBN: 9783030706005 ;EISSN: 1433-9277 ;EISBN: 303070601X ;EISBN: 9783030706012 ;DOI: 10.1007/978-3-030-70601-2_270

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26
Extraction and Quantification Clusters of Three-Dimensional Lorenz Plots
Extraction and Quantification Clusters of Three-Dimensional Lorenz Plots
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Conference Proceeding 		Add to My Research

Extraction and Quantification Clusters of Three-Dimensional Lorenz Plots

Studies in health technology and informatics, 2017, Vol.245, p.118 [Peer Reviewed Journal]

ISSN: 0926-9630 ;DOI: 10.3233/978-1-61499-830-3-118 ;PMID: 29295064

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27
STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition
STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition
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Conference Proceeding 		Add to My Research

STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition

Advanced Data Mining and Applications, p.86-100 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2022 ;ISSN: 0302-9743 ;ISBN: 9783030954048 ;ISBN: 3030954048 ;EISSN: 1611-3349 ;EISBN: 9783030954055 ;EISBN: 3030954056 ;DOI: 10.1007/978-3-030-95405-5_7

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28
Effective Learning and Filtering of Faulty Heart-Beats for Advanced ECG Arrhythmia Detection using MIT-BIH Database
Effective Learning and Filtering of Faulty Heart-Beats for Advanced ECG Arrhythmia Detection using MIT-BIH Database
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Conference Proceeding 		Add to My Research

Effective Learning and Filtering of Faulty Heart-Beats for Advanced ECG Arrhythmia Detection using MIT-BIH Database

EAI endorsed transactions on pervasive health and technology, 2016, Vol.2 (8), p.50 [Peer Reviewed Journal]

2016. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2411-7145 ;DOI: 10.4108/eai.14-10-2015.2261640

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29
Personalized Arrhythmia Detection Based on Lightweight Autoencoder and Variational Autoencoder
Personalized Arrhythmia Detection Based on Lightweight Autoencoder and Variational Autoencoder
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Conference Proceeding 		Add to My Research

Personalized Arrhythmia Detection Based on Lightweight Autoencoder and Variational Autoencoder

Databases Theory and Applications, p.50-62 [Peer Reviewed Journal]

The Author(s), under exclusive license to Springer Nature Switzerland AG 2022 ;ISSN: 0302-9743 ;ISBN: 9783031155116 ;ISBN: 3031155114 ;EISSN: 1611-3349 ;EISBN: 9783031155123 ;EISBN: 3031155122 ;DOI: 10.1007/978-3-031-15512-3_4

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30
Prediction of Bradycardia using Decision Tree Algorithm and Comparing the Accuracy with Support Vector Machine
Prediction of Bradycardia using Decision Tree Algorithm and Comparing the Accuracy with Support Vector Machine
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Conference Proceeding 		Add to My Research

Prediction of Bradycardia using Decision Tree Algorithm and Comparing the Accuracy with Support Vector Machine

E3S Web of Conferences, 2023, Vol.399, p.9004 [Peer Reviewed Journal]

2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2267-1242 ;ISSN: 2555-0403 ;EISSN: 2267-1242 ;DOI: 10.1051/e3sconf/202339909004

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31
Application of Structured Light Illumination and Compressed Sensing to High Speed Laminar Optical Fluorescence Tomography
Application of Structured Light Illumination and Compressed Sensing to High Speed Laminar Optical Fluorescence Tomography
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Conference Proceeding 		Add to My Research

Application of Structured Light Illumination and Compressed Sensing to High Speed Laminar Optical Fluorescence Tomography

VIII Latin American Conference on Biomedical Engineering and XLII National Conference on Biomedical Engineering, p.1216-1219

Springer Nature Switzerland AG 2020 ;ISSN: 1680-0737 ;ISBN: 303030647X ;ISBN: 9783030306472 ;EISSN: 1433-9277 ;EISBN: 9783030306489 ;EISBN: 3030306488 ;DOI: 10.1007/978-3-030-30648-9_158

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32
15 Cardiac arrest survival versus defibrillation delay during ongoing CPR
15 Cardiac arrest survival versus defibrillation delay during ongoing CPR
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Conference Proceeding 		Add to My Research

15 Cardiac arrest survival versus defibrillation delay during ongoing CPR

BMJ open, 2019, Vol.9 (Suppl 2), p.A6-A6 [Peer Reviewed Journal]

2019 Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2044-6055 ;DOI: 10.1136/bmjopen-2019-EMS.15

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33
ECG Arrhythmia Detection Based on Hidden Attention Residual Neural Network
ECG Arrhythmia Detection Based on Hidden Attention Residual Neural Network
Material Type:
Conference Proceeding 		Add to My Research

ECG Arrhythmia Detection Based on Hidden Attention Residual Neural Network

Bioinformatics Research and Applications, p.471-483 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2021 ;ISSN: 0302-9743 ;ISBN: 9783030914141 ;ISBN: 3030914143 ;EISSN: 1611-3349 ;EISBN: 9783030914158 ;EISBN: 3030914151 ;DOI: 10.1007/978-3-030-91415-8_40

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34
An Improved CNNLSTM Algorithm for Automatic Detection of Arrhythmia Based on Electrocardiogram Signal
An Improved CNNLSTM Algorithm for Automatic Detection of Arrhythmia Based on Electrocardiogram Signal
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Conference Proceeding 		Add to My Research

An Improved CNNLSTM Algorithm for Automatic Detection of Arrhythmia Based on Electrocardiogram Signal

Database Systems for Advanced Applications. DASFAA 2021 International Workshops, p.185-196 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2021 ;ISSN: 0302-9743 ;ISBN: 9783030732158 ;ISBN: 3030732150 ;EISSN: 1611-3349 ;EISBN: 9783030732165 ;EISBN: 3030732169 ;DOI: 10.1007/978-3-030-73216-5_13

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35
Event-driven ECG classification using an open-source, LC-ADC based non-uniformly sampled dataset
Event-driven ECG classification using an open-source, LC-ADC based non-uniformly sampled dataset
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Conference Proceeding 		Add to My Research

Event-driven ECG classification using an open-source, LC-ADC based non-uniformly sampled dataset

2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1109/ISCAS51556.2021.9401333

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36
Discrimination of ECG Abnormality based on a Normal ECG Wave Model Implementing a Denoising Model
Discrimination of ECG Abnormality based on a Normal ECG Wave Model Implementing a Denoising Model
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Conference Proceeding 		Add to My Research

Discrimination of ECG Abnormality based on a Normal ECG Wave Model Implementing a Denoising Model

Lecture notes in engineering and computer science, 2019, Vol.2239, p.184

ISSN: 2078-0958 ;EISSN: 2078-0966

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37
A One-Dimensional Siamese Few-Shot Learning Approach for ECG Classification under Limited Data
A One-Dimensional Siamese Few-Shot Learning Approach for ECG Classification under Limited Data
Material Type:
Conference Proceeding 		Add to My Research

A One-Dimensional Siamese Few-Shot Learning Approach for ECG Classification under Limited Data

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021, Vol.2021, p.455

EISSN: 2694-0604 ;DOI: 10.1109/EMBC46164.2021.9630622 ;PMID: 34891331

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38
Self-Supervised Learning with Electrocardiogram Delineation for Arrhythmia Detection
Self-Supervised Learning with Electrocardiogram Delineation for Arrhythmia Detection
Material Type:
Conference Proceeding 		Add to My Research

Self-Supervised Learning with Electrocardiogram Delineation for Arrhythmia Detection

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021, Vol.2021, p.591

EISSN: 2694-0604 ;DOI: 10.1109/EMBC46164.2021.9630364 ;PMID: 34891363

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39
Using PAPAYA for eHealth – Use Case Analysis and Requirements
Using PAPAYA for eHealth – Use Case Analysis and Requirements
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Conference Proceeding 		Add to My Research

Using PAPAYA for eHealth – Use Case Analysis and Requirements

PAPAYA, 2020, p.437

ISBN: 1728194296 ;ISBN: 9781728194295 ;DOI: 10.1109/CBMS49503.2020.00089

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40
Multi-label Anomaly Classification Based on Electrocardiogram
Multi-label Anomaly Classification Based on Electrocardiogram
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Conference Proceeding 		Add to My Research

Multi-label Anomaly Classification Based on Electrocardiogram

Health Information Science, p.171-178 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2021 ;ISSN: 0302-9743 ;ISBN: 9783030908843 ;ISBN: 3030908844 ;EISSN: 1611-3349 ;EISBN: 9783030908850 ;EISBN: 3030908852 ;DOI: 10.1007/978-3-030-90885-0_16

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