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Álvaro Huerta Herraiz

Álvaro Huerta

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affiliation: University of Castilla La-Mancha, Research Group in Electronic, Biomedical and Telecommunications Engineering, Cuenca, Spain

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Journal Articles

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2023
[j3]
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  - journals/access/HuertaMCBRA23
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  - https://dblp.org/rec/journals/access/HuertaMCBRA23
Álvaro Huerta, Arturo Martínez-Rodrigo, Davide Carneiro, Vicente Bertomeu-González, José Joaquín Rieta, Raúl Alcaraz:
Comparison of Supervised Learning Algorithms for Quality Assessment of Wearable Electrocardiograms With Paroxysmal Atrial Fibrillation. IEEE Access 11: 106126-106140 (2023)
2021
[j2]
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  - journals/sensors/Martinez-Rodrigo21
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  - https://dblp.org/rec/journals/sensors/Martinez-Rodrigo21
Arturo Martínez-Rodrigo, Beatriz García-Martínez, Álvaro Huerta, Raúl Alcaraz:
Detection of Negative Stress through Spectral Features of Electroencephalographic Recordings and a Convolutional Neural Network. Sensors 21(9): 3050 (2021)
2020
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  - journals/entropy/HerraizMBQRA20
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Álvaro Huerta Herraiz, Arturo Martínez-Rodrigo, Vicente Bertomeu-González, Aurelio Quesada, José Joaquín Rieta, Raúl Alcaraz:
A Deep Learning Approach for Featureless Robust Quality Assessment of Intermittent Atrial Fibrillation Recordings from Portable and Wearable Devices. Entropy 22(7): 733 (2020)

Conference and Workshop Papers

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2023
[c5]
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Álvaro Huerta, Arturo Martínez-Rodrigo, José Joaquín Rieta, Raúl Alcaraz:
Relevance of Pre-Training in the Development of a Light Convolutional Neural Network for ECG Quality Assessment. CinC 2023: 1-4
2021
[c4]
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  - conf/cinc/HuertaMRA21
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Álvaro Huerta, Arturo Martínez-Rodrigo, José Joaquín Rieta, Raúl Alcaraz:
ECG Quality Assessment via Deep Learning and Data Augmentation. CinC 2021: 1-4
2020
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  - conf/cinc/HerraizMALRA20
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Álvaro Huerta, Arturo Martínez-Rodrigo, Miguel A. Arias, Philip Langley, José Joaquín Rieta, Raúl Alcaraz:
Application of Deep Learning for Quality Assessment of Atrial Fibrillation ECG Recordings. CinC 2020: 1-4
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Álvaro Huerta, Arturo Martínez-Rodrigo, José Joaquín Rieta, Raúl Alcaraz:
A Deep Learning Solution for Automatized Interpretation of 12-Lead ECGs. CinC 2020: 1-4
[c1]
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Álvaro Huerta, Arturo Martínez-Rodrigo, Alberto Puchol, Marta I Pachón, José Joaquín Rieta, Raúl Alcaraz:
Comparative Study of Convolutional Neural Networks for ECG Quality Assessment. CinC 2020: 1-4

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