- -

Single-lead electrocardiogram quality assessment in the context of paroxysmal atrial fibrillation through phase space plots

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

  • Estadisticas de Uso

Single-lead electrocardiogram quality assessment in the context of paroxysmal atrial fibrillation through phase space plots

Show full item record

Huerta, A.; Martínez-Rodrigo, A.; Bertomeu-González, V.; Ayo-Martin, O.; Rieta, JJ.; Alcaraz, R. (2024). Single-lead electrocardiogram quality assessment in the context of paroxysmal atrial fibrillation through phase space plots. Biomedical Signal Processing and Control. 91. https://doi.org/10.1016/j.bspc.2023.105920

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/203675

Files in this item

Item Metadata

Title: Single-lead electrocardiogram quality assessment in the context of paroxysmal atrial fibrillation through phase space plots
Author: Huerta, Alvaro Martínez-Rodrigo, Arturo Bertomeu-González, Vicente Ayo-Martin, Oscar Rieta, J J Alcaraz, Raúl
UPV Unit: Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia
Issued date:
Abstract:
[EN] Current wearable electrocardiogram (ECG) recording systems have great potential to revolutionize early diagnosis of paroxysmal atrial fibrillation (AF). They are able to continuously acquire an ECG signal for long ...[+]
Subjects: Signal quality assessment , Paroxysmal atrial fibrillation , Phase space portraits , Machine learning classifiers , Deep learning algorithms
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Biomedical Signal Processing and Control. (issn: 1746-8094 )
DOI: 10.1016/j.bspc.2023.105920
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.bspc.2023.105920
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123804OB-I00/ES/INTELIGENCIA ARTIFICIAL PARA LA MEDICINA MOVIL INNOVADORA EN ENFERMEDADES CARDIOVASCULARES/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-128525OB-I00/ES/DETECCION PRECOZ DE ARRITMIAS CARDIACAS MEDIANTE INTELIGENCIA ARTIFICIAL PARA MEJORAR LA PREVENCION SECUNDARIA DEL ICTUS CRIPTOGENICO/
info:eu-repo/grantAgreement/GVA//AICO%2F2021%2F286/
info:eu-repo/grantAgreement/JCCM//SBPLY%2F21%2F180501%2F000186/
info:eu-repo/grantAgreement/MICINN//TED2021-130935B-I00/
Thanks:
This research has received financial support from Daiichi Sankyo SLU and from public grants PID2021-00X128525-IV0, PID2021-12380 4OB-I00, and TED2021-130935B-I00 of the Spanish Government 10.13039/501100011033 jointly with ...[+]
Type: Artículo

recommendations

 

This item appears in the following Collection(s)

Show full item record