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Gorka Zubia
Gorka Zubia
Photonics Ph.D candidate, University of the Basque Country (UPV/EHU)
在 ehu.eus 的电子邮件经过验证
标题
引用次数
引用次数
年份
Shock decision algorithms for automated external defibrillators based on convolutional networks
X Jaureguibeitia, G Zubia, U Irusta, E Aramendi, B Chicote, D Alonso, ...
IEEE Access 8, 154746-154758, 2020
152020
An algorithm to optimize the optical sensor design for tip clearance and tip timing measurements
G Zubia, J Amorebieta, J Zubia, G Durana
Optical Sensing and Detection VII 12139, 194-200, 2022
52022
A New Method to Design Trifurcated Optical Fiber Displacement Sensors
G Zubia, J Zubía, J Amorebieta, G Aldabaldetreku, G Durana
IEEE Sensors Journal, 2023
32023
Theoretical method for the design of bifurcated fiber optic displacement sensors
G Zubia, G Durana, J Amorebieta, G Aldabaldetreku, J Zubia
XIII Reunión del Comité de Optoelectrónica - OPTOEL2023, 196-200, 2023
22023
A tabletop rotor kit as training platform for fiber optic-based sensing
G Durana, J Amorebieta, G Aldabaldetreku, G Zubia, J Zubia
Education and Training in Optics and Photonics, 127231U, 2023
22023
Design and performance analysis of tetrafurcated fiber optic displacement sensors for enhanced range and linearity
G Zubia, J Zubia, G Durana, G Aldabaldetreku, J Amorebieta
Photonic Instrumentation Engineering XI 12893, 199-206, 2024
12024
Aprendizaje máquina para la predicción del éxito de la desfibrilación mediante el análisis de la forma de onda de la fibrilación ventricular
G Zubia Garea, X Jaureguibetia Lara, U Irusta Zarandona, ...
12020
Optical fiber sensors for simultaneous measurement of angular and linear displacement
JA Gorka Zubia, Joseba Zubia, Gaizka Durana, Gotzon Aldabaldetreku
Proceedings Volume 12999, Optical Sensing and Detection VIII; 129990A (2024), 2024
2024
Método teórico para el diseño de sensores de desplazamiento de fibra óptica bifurcados
GZ Garea, GD Apaolaza, JA Herrero, GA Etxeberria, JZ Zaballa
Conectando la academia y la industria: Libro de actas OPTOEL 2023, 36, 2024
2024
A New Method to Design Trifurcated Optical Fiber Displacement Sensors
G Zubia Garea, JA Zubia Zaballa, J Amorebieta Herrero, ...
IEEE, 2024
2024
Recurrent Neural Networks to Predict the Outcome of Subsequent Defibrillation Shocks in Cardiac Arrest
X Jaureguibeitia, G Zubia, U Irusta, E Aramendi, G Ristagno
2021 Computing in Cardiology (CinC) 48, 1-4, 2021
2021
Development of a platform to manipulate multimodal data to evaluate the hemodynamic state of the patient during cardiac arrest using nonivasive sensors
G Zubia Garea
2021
Aprendizaje máquina para la predicción del éxito de la desfibrilación mediante el análisis de la forma de onda de la fibrilación ventricular
GZ Garea, XJ Lara, UI Zarandona, EA Ecenarro
XXXVIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica …, 2020
2020
An algorithm to classify heartbeats using the electrocardiogram
G Zubia Garea
2019
A New Method To Design Trifurcated Optical Fiber Displacement Sensors
G Aldabaldetreku, G Durana
Método teórico para el diseño de sensores de desplazamiento de fibra óptica bifurcados
G ZUBIA, G DURANA, J AMOREBIETA, G ALDABALDETREKU, J ZUBIA
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