Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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61 |
Material Type: Conference Proceeding
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A Multilayer CNN Using the ECG, Age and Sex Predicts Ventricular Arrhythmias in the General PopulationDigital Resources/Online E-Resources |
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62 |
Material Type: Conference Proceeding
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SE-ResNet-ViT Hybrid Model for Noise Classification in Adhesive Patch-type Wearable Electrocardiographs2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023, Vol.2023, p.1-4EISSN: 2694-0604 ;EISBN: 9798350324471 ;DOI: 10.1109/EMBC40787.2023.10340882 ;PMID: 38082768Digital Resources/Online E-Resources |
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63 |
Material Type: Conference Proceeding
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Domain and Patient Adversarial Multi-Task Learning for Arrhythmia ClassificationAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2023, Vol.2023, p.1EISSN: 2694-0604 ;DOI: 10.1109/EMBC40787.2023.10340285 ;PMID: 38083287Digital Resources/Online E-Resources |
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64 |
Material Type: Conference Proceeding
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Optimization of Arrhythmia-based ECG-lead Selection for Computer-interpreted Heart Rhythm ClassificationAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2023, Vol.2023, p.1EISSN: 2694-0604 ;DOI: 10.1109/EMBC40787.2023.10340738 ;PMID: 38082652Digital Resources/Online E-Resources |
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65 |
Material Type: Conference Proceeding
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Classification of Continuous ECG Segments - Performance Analysis of a Deep Learning ModelAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2023, Vol.2023, p.1EISSN: 2694-0604 ;DOI: 10.1109/EMBC40787.2023.10341151 ;PMID: 38082961Digital Resources/Online E-Resources |
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66 |
Material Type: Conference Proceeding
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Innovative Characterization of Alternans Onset and Development in Dual Voltage-Calcium Whole-Heart Optical Mapping Signals at Multiple Thermal StatesAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2023, Vol.2023, p.1EISSN: 2694-0604 ;DOI: 10.1109/EMBC40787.2023.10340581 ;PMID: 38083080Digital Resources/Online E-Resources |
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67 |
Material Type: Conference Proceeding
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Lightweight Convolutional Neural Network for Real-Time Arrhythmia Classification on Low-Power Wearable Electrocardiograph2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022, p.1915-1918EISSN: 2694-0604 ;EISBN: 1728127823 ;EISBN: 9781728127828 ;DOI: 10.1109/EMBC48229.2022.9871156Digital Resources/Online E-Resources |
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68 |
Material Type: Conference Proceeding
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Beat Analysis of Dimensionality Reduced Perspective Streams from Electrocardiogram Signal DataE-Business and Telecommunications, p.433-453 [Peer Reviewed Journal]Springer International Publishing Switzerland 2016 ;ISSN: 1865-0929 ;ISBN: 3319302213 ;ISBN: 9783319302218 ;EISSN: 1865-0937 ;EISBN: 9783319302225 ;EISBN: 3319302221 ;DOI: 10.1007/978-3-319-30222-5_20Digital Resources/Online E-Resources |
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69 |
Material Type: Conference Proceeding
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Titin Truncating Variants Predict Life-threatening Arrhythmias in Patients With Dilated Cardiomyopathy2017 American Heart Association, Inc. ;ISSN: 0009-7322 ;EISSN: 1524-4539Full text available |
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70 |
Material Type: Conference Proceeding
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Multistage Pruning of CNN Based ECG Classifiers for Edge DevicesAnnual 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.1965EISSN: 2694-0604 ;DOI: 10.1109/EMBC46164.2021.9630588 ;PMID: 34891672Digital Resources/Online E-Resources |
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71 |
Material Type: Conference Proceeding
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Comparing Classical Machine Learning and Deep Learning for Classification of Arrhythmia from ECG SignalsProceedings of the International Conference on Applied Innovations in IT, 2023, Vol.11 (2), p.31-38EISSN: 2199-8876 ;DOI: 10.25673/112991Full text available |
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72 |
Material Type: Conference Proceeding
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Digital Technologies in Providing Development of Algorithms Surgical Treatment of Supraventricular ArrhythmiasMATEC Web of Conferences, 2016, Vol.79, p.1063 [Peer Reviewed Journal]2016. This work is licensed under http://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: 2261-236X ;ISSN: 2274-7214 ;EISSN: 2261-236X ;DOI: 10.1051/matecconf/20167901063Full text available |
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73 |
Material Type: Conference Proceeding
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Assessment of Risk for Ventricular Tachycardia based on Extensive Electrophysiology SimulationsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2023, Vol.2023, p.1EISSN: 2694-0604 ;DOI: 10.1109/EMBC40787.2023.10340169 ;PMID: 38083190Digital Resources/Online E-Resources |
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74 |
Material Type: Conference Proceeding
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Robust Framework for Medical Time Series Classification and Application to Real Scenarios in Modern BioengineeringAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2023, Vol.2023, p.1EISSN: 2694-0604 ;DOI: 10.1109/EMBC40787.2023.10340158 ;PMID: 38082627Digital Resources/Online E-Resources |
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75 |
Material Type: Conference Proceeding
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Can Stochastic Pacing Restore Heart Rate Variability in Diseased Hearts? An In-vivo Ovine Case StudyAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2023, Vol.2023, p.1EISSN: 2694-0604 ;DOI: 10.1109/EMBC40787.2023.10340585 ;PMID: 38083585Digital Resources/Online E-Resources |
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76 |
Material Type: Conference Proceeding
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Assessment of Values of Time-Domain and Frequency-Domain Parameters for ECG Signals Through HRV Analysis Using Symlets for Arrhythmia PredictionAdvances in Computational Intelligence, p.439-447Springer Science+Business Media Singapore 2017 ;ISSN: 2194-5357 ;ISBN: 981102524X ;ISBN: 9789811025242 ;EISSN: 2194-5365 ;EISBN: 9789811025259 ;EISBN: 9811025258 ;DOI: 10.1007/978-981-10-2525-9_41Digital Resources/Online E-Resources |
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77 |
Material Type: Conference Proceeding
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A Ubiquitous Telehealth System for the ElderlyInternet of Things. User-Centric IoT, p.159-166Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015 ;ISSN: 1867-8211 ;ISBN: 9783319196558 ;ISBN: 3319196553 ;EISSN: 1867-822X ;EISBN: 9783319196565 ;EISBN: 3319196561 ;DOI: 10.1007/978-3-319-19656-5_23Digital Resources/Online E-Resources |
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78 |
Material Type: Conference Proceeding
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CARDIOEMBOLIC STROKE IN LATVIA: PREVENTION AND LONG-TERM OUTCOMECBU International Conference Proceedings, 2016, Vol.4, p.615-621 [Peer Reviewed Journal]Copyright Central Bohemia University 2016 ;ISSN: 1805-997X ;EISSN: 1805-9961 ;DOI: 10.12955/cbup.v4.821Full text available |
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79 |
Material Type: Conference Proceeding
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Deep Learning-Based Data-Point Precise R-Peak Detection in Single-Lead ElectrocardiogramsAnnual 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.718EISSN: 2694-0604 ;DOI: 10.1109/EMBC46164.2021.9630062 ;PMID: 34891392Digital Resources/Online E-Resources |
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80 |
Material Type: Conference Proceeding
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e-Health/m-Health Applications for Cardiac Patients TelemonitoringVI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014, p.825-828Springer International Publishing Switzerland 2015 ;ISSN: 1680-0737 ;ISBN: 9783319131160 ;ISBN: 3319131168 ;EISSN: 1433-9277 ;EISBN: 9783319131177 ;EISBN: 3319131176 ;DOI: 10.1007/978-3-319-13117-7_210Digital Resources/Online E-Resources |