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1
Outcomes after late reoperation in patients with repaired tetralogy of fallot : The impact of arrhythmia and arrhythmia surgery. Discussion
Outcomes after late reoperation in patients with repaired tetralogy of fallot : The impact of arrhythmia and arrhythmia surgery. Discussion
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Outcomes after late reoperation in patients with repaired tetralogy of fallot : The impact of arrhythmia and arrhythmia surgery. Discussion

The Annals of thoracic surgery, 2006, Vol.81 (5), p.1786-1793 [Peer Reviewed Journal]

2006 INIST-CNRS ;ISSN: 0003-4975 ;EISSN: 1552-6259 ;DOI: 10.1016/j.athoracsur.2005.12.039 ;CODEN: ATHSAK

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2
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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3
25 Brugada Syndrome – updates from an Irish Inherited Cardiac Conditions centre
25 Brugada Syndrome – updates from an Irish Inherited Cardiac Conditions centre
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Conference Proceeding 		Add to My Research

25 Brugada Syndrome – updates from an Irish Inherited Cardiac Conditions centre

Heart (British Cardiac Society), 2023, Vol.109 (Suppl 6), p.A28-A29 [Peer Reviewed Journal]

2023 Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ. ;ISSN: 1355-6037 ;EISSN: 1468-201X ;DOI: 10.1136/heartjnl-2023-ICS.25

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4
Antidictionary-Based Cardiac Arrhythmia Classification for Smart ECG Sensors
Antidictionary-Based Cardiac Arrhythmia Classification for Smart ECG Sensors
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Conference Proceeding 		Add to My Research

Antidictionary-Based Cardiac Arrhythmia Classification for Smart ECG Sensors

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1109/ISCAS48785.2022.9937853

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5
T3 Cardiac arrhythmia resulting from an accumulation of branched chain amino acids in a mouse line with a mutation in bcat2
T3 Cardiac arrhythmia resulting from an accumulation of branched chain amino acids in a mouse line with a mutation in bcat2
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Conference Proceeding 		Add to My Research

T3 Cardiac arrhythmia resulting from an accumulation of branched chain amino acids in a mouse line with a mutation in bcat2

Heart (British Cardiac Society), 2018, Vol.104 (Suppl 3), p.A1 [Peer Reviewed Journal]

2018, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions ;ISSN: 1355-6037 ;EISSN: 1468-201X ;DOI: 10.1136/heartjnl-2018-BSCR.3

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6
ECG Arrhythmia Detection Based on Hidden Attention Residual Neural Network
ECG Arrhythmia Detection Based on Hidden Attention Residual Neural Network
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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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7
47 Pulse field ablation in Irish atrial fibrillation. Patient characteristics, safety, and single operator experience from the first 50 cases
47 Pulse field ablation in Irish atrial fibrillation. Patient characteristics, safety, and single operator experience from the first 50 cases
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Conference Proceeding 		Add to My Research

47 Pulse field ablation in Irish atrial fibrillation. Patient characteristics, safety, and single operator experience from the first 50 cases

Heart (British Cardiac Society), 2023, Vol.109 (Suppl 6), p.A53-A54 [Peer Reviewed Journal]

2023 Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ. ;ISSN: 1355-6037 ;EISSN: 1468-201X ;DOI: 10.1136/heartjnl-2023-ICS.47

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8
7 Which affects reduced aerobic power more in patients with CHD and atrial fibrillation, age or bodyweight?
7 Which affects reduced aerobic power more in patients with CHD and atrial fibrillation, age or bodyweight?
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Conference Proceeding 		Add to My Research

7 Which affects reduced aerobic power more in patients with CHD and atrial fibrillation, age or bodyweight?

Heart (British Cardiac Society), 2023, Vol.109 (Suppl 5), p.A3-A4 [Peer Reviewed Journal]

2023 Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ. ;ISSN: 1355-6037 ;EISSN: 1468-201X ;DOI: 10.1136/heartjnl-2023-BACPR.6

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9
12 Focal and rotational activity modification in persistent atrial fibrillation- long term follow up
12 Focal and rotational activity modification in persistent atrial fibrillation- long term follow up
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12 Focal and rotational activity modification in persistent atrial fibrillation- long term follow up

Heart (British Cardiac Society), 2023, Vol.109 (Suppl 6), p.A12-A13 [Peer Reviewed Journal]

2023 Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ. ;ISSN: 1355-6037 ;EISSN: 1468-201X ;DOI: 10.1136/heartjnl-2023-ICS.12

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10
PAC: Privacy-Preserving Arrhythmia Classification with Neural Networks
PAC: Privacy-Preserving Arrhythmia Classification with Neural Networks
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Conference Proceeding 		Add to My Research

PAC: Privacy-Preserving Arrhythmia Classification with Neural Networks

Foundations and Practice of Security, 2020, p.3-19 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2020 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0302-9743 ;ISBN: 9783030453701 ;ISBN: 3030453707 ;EISSN: 1611-3349 ;EISBN: 9783030453718 ;EISBN: 3030453715 ;DOI: 10.1007/978-3-030-45371-8_1

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11
A Machine Learning Framework for Fetal Arrhythmia Detection via Single ECG Electrode
A Machine Learning Framework for Fetal Arrhythmia Detection via Single ECG Electrode
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Conference Proceeding 		Add to My Research

A Machine Learning Framework for Fetal Arrhythmia Detection via Single ECG Electrode

Computational Science – ICCS 2022, p.546-553 [Peer Reviewed Journal]

The Author(s), under exclusive license to Springer Nature Switzerland AG 2022 ;ISSN: 0302-9743 ;ISBN: 9783031087530 ;ISBN: 3031087534 ;EISSN: 1611-3349 ;EISBN: 3031087542 ;EISBN: 9783031087547 ;DOI: 10.1007/978-3-031-08754-7_60

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12
11 Clinical associations and pathological mechanisms of reduced atrial conduction velocity
11 Clinical associations and pathological mechanisms of reduced atrial conduction velocity
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Conference Proceeding 		Add to My Research

11 Clinical associations and pathological mechanisms of reduced atrial conduction velocity

Heart (British Cardiac Society), 2021, Vol.107 (Suppl 2), p.A11-A13 [Peer Reviewed Journal]

2021 Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ. ;ISSN: 1355-6037 ;EISSN: 1468-201X ;DOI: 10.1136/heartjnl-2021-ICS.11

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13
Endoscopic Microvascular Decompression for Cardiac Syncope/Arrhythmia: Vasoglossopharyngeal Neuralgia
Endoscopic Microvascular Decompression for Cardiac Syncope/Arrhythmia: Vasoglossopharyngeal Neuralgia
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Conference Proceeding 		Add to My Research

Endoscopic Microvascular Decompression for Cardiac Syncope/Arrhythmia: Vasoglossopharyngeal Neuralgia

Journal of Neurological Surgery Part B: Skull Base, 2020, Vol.81 (S 01) [Peer Reviewed Journal]

ISSN: 2193-6331 ;EISSN: 2193-634X ;DOI: 10.1055/s-0040-1702678

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14
27 Influence of routine cardiac rhythm assessment in the long-term management of channelopathy patients
27 Influence of routine cardiac rhythm assessment in the long-term management of channelopathy patients
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27 Influence of routine cardiac rhythm assessment in the long-term management of channelopathy patients

Heart (British Cardiac Society), 2021, Vol.107 (Suppl 2), p.A24-A25 [Peer Reviewed Journal]

2021 Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ. ;ISSN: 1355-6037 ;EISSN: 1468-201X ;DOI: 10.1136/heartjnl-2021-ICS.27

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15
10 Automated high density left atrial voltage mapping of low voltage areas in atrial fibrillation differs from sinus rhythm
10 Automated high density left atrial voltage mapping of low voltage areas in atrial fibrillation differs from sinus rhythm
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Conference Proceeding 		Add to My Research

10 Automated high density left atrial voltage mapping of low voltage areas in atrial fibrillation differs from sinus rhythm

Heart (British Cardiac Society), 2021, Vol.107 (Suppl 2), p.A10-A11 [Peer Reviewed Journal]

2021 Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ. ;ISSN: 1355-6037 ;EISSN: 1468-201X ;DOI: 10.1136/heartjnl-2021-ICS.10

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16
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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17
Mobile ECG monitoring system prototype and wavelet-based arrhythmia detection
Mobile ECG monitoring system prototype and wavelet-based arrhythmia detection
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Conference Proceeding 		Add to My Research

Mobile ECG monitoring system prototype and wavelet-based arrhythmia detection

Proceedings of the XXth Conference of Open Innovations Association FRUCT, 2017, Vol.562 (21), p.210-216 [Peer Reviewed Journal]

ISSN: 2305-7254 ;EISSN: 2343-0737 ;DOI: 10.23919/FRUCT.2017.8250184

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18
Intra-patient Arrhythmia Heartbeat Modeling by Gibbs Sampling
Intra-patient Arrhythmia Heartbeat Modeling by Gibbs Sampling
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Conference Proceeding 		Add to My Research

Intra-patient Arrhythmia Heartbeat Modeling by Gibbs Sampling

Pattern Recognition, p.195-205 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2019 ;ISSN: 0302-9743 ;ISBN: 9783030210762 ;ISBN: 3030210766 ;EISSN: 1611-3349 ;EISBN: 3030210774 ;EISBN: 9783030210779 ;DOI: 10.1007/978-3-030-21077-9_18

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19
D-ECG: A Dynamic Framework for Cardiac Arrhythmia Detection from IoT-Based ECGs
D-ECG: A Dynamic Framework for Cardiac Arrhythmia Detection from IoT-Based ECGs
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Conference Proceeding 		Add to My Research

D-ECG: A Dynamic Framework for Cardiac Arrhythmia Detection from IoT-Based ECGs

Web Information Systems Engineering – WISE 2018, p.85-99 [Peer Reviewed Journal]

Springer Nature Switzerland AG 2018 ;ISSN: 0302-9743 ;ISBN: 3030029247 ;ISBN: 9783030029241 ;EISSN: 1611-3349 ;EISBN: 3030029255 ;EISBN: 9783030029258 ;DOI: 10.1007/978-3-030-02925-8_6

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20
Combining Data Mining Techniques to Enhance Cardiac Arrhythmia Detection
Combining Data Mining Techniques to Enhance Cardiac Arrhythmia Detection
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Conference Proceeding 		Add to My Research

Combining Data Mining Techniques to Enhance Cardiac Arrhythmia Detection

Computational Science – ICCS 2018, p.321-333 [Peer Reviewed Journal]

Springer International Publishing AG, part of Springer Nature 2018 ;ISSN: 0302-9743 ;ISBN: 3319937006 ;ISBN: 9783319937007 ;EISSN: 1611-3349 ;EISBN: 9783319937014 ;EISBN: 3319937014 ;DOI: 10.1007/978-3-319-93701-4_24

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