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ORCIDÁlvaro Huerta Herraiz
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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
- 2024
[j4]Álvaro Huerta
, Arturo Martínez-Rodrigo, Vicente Bertomeu-González, Óscar Ayo-Martin, José Joaquín Rieta, Raúl Alcaraz:
Single-lead electrocardiogram quality assessment in the context of paroxysmal atrial fibrillation through phase space plots. Biomed. Signal Process. Control. 91: 105920 (2024)- 2023
- [j3]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]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
- [j1]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
- 2023
- [c5]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]Álvaro Huerta, Arturo Martínez-Rodrigo, José Joaquín Rieta, Raúl Alcaraz:
ECG Quality Assessment via Deep Learning and Data Augmentation. CinC 2021: 1-4 - 2020
- [c3]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 - [c2]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]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
Coauthor Index
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