Jose Millet
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Explore the profile of Jose Millet including associated specialties, affiliations and a list of published articles.
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55
Citations
373
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Recent Articles
1.
Ors-Quixal R, Ruiperez-Campillo S, Castells-Ramon F, Millet J
Annu Int Conf IEEE Eng Med Biol Soc
. 2025 Mar;
2024:1-4.
PMID: 40039083
Standard diagnostic methods for evaluating the severity of brain injuries resulting from cardiac arrest, such as the Glasgow Coma Scale, exhibit subjective biases that lead to potentially fatal misclassifications, where...
2.
Tonko J, Ruiperez-Campillo S, Cabero-Vidal G, Cabrera-Borrego E, Roney C, Jimenez-Jaimez J, et al.
Heart Rhythm
. 2024 Nov;
PMID: 39515493
Background: Vector field heterogeneity (VFH) is a novel omnipolar metric to quantify local propagation heterogeneities that may identify functionally critical sites for ablation in scar-related ventricular tachycardia (VT). Objective: This...
3.
Ramirez E, Ruiperez-Campillo S, Casado-Arroyo R, Merino J, Vogt J, Castells F, et al.
Front Physiol
. 2024 Oct;
15:1452829.
PMID: 39434723
Background And Objectives: Accurate diagnosis of cardiovascular diseases often relies on the electrocardiogram (ECG). Since the cardiac vector is located within a three-dimensional space and the standard ECG comprises 12...
4.
Pancorbo L, Ruiperez-Campillo S, Tormos A, Guill A, Cervigon R, Alberola A, et al.
IEEE Open J Eng Med Biol
. 2024 Mar;
5:32-44.
PMID: 38445238
High-density multielectrode catheters are becoming increasingly popular in cardiac electrophysiology for advanced characterisation of the cardiac tissue, due to their potential to identify impaired sites. These are often characterised by...
5.
Segarra I, Cebrian A, Ruiperez-Campillo S, Tormos A, Chorro F, Castells F, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2023 Dec;
2023:1-4.
PMID: 38082704
The present study aims to design and fabricate a system capable of generating heterogeneities on the epicardial surface of an isolated rabbit heart perfused in a Langendorff system. The system...
6.
Ruiperez-Campillo S, Castells F, Millet J
Annu Int Conf IEEE Eng Med Biol Soc
. 2023 Dec;
2023:1-4.
PMID: 38082627
In this study, a novel unsupervised classification framework for time series of medical nature is presented. This framework is based on the intersection of machine learning, Hilbert Spaces algebra, and...
7.
Ruiperez-Campillo S, Crespo M, Tormos A, Guill A, Cebrian A, Alberola A, et al.
Phys Eng Sci Med
. 2023 Jun;
46(3):1193-1204.
PMID: 37358782
High-density catheters combined with Orientation Independent Sensing (OIS) methods have emerged as a groundbreaking technology for cardiac substrate characterisation. In this study, we aim to assess the arrangements and constraints...
8.
Castells F, Ruiperez-Campillo S, Segarra I, Cervigon R, Casado-Arroyo R, Merino J, et al.
Comput Biol Med
. 2023 Jan;
154:106604.
PMID: 36709520
Objective: The aim of this study is to propose a method to reduce the sensitivity of the estimated omnipolar electrogram (oEGM) with respect to the angle of the propagation wavefront....
9.
Jimenez-Serrano S, Rodrigo M, Calvo C, Millet J, Castells F
Physiol Meas
. 2022 May;
43(6).
PMID: 35609610
. Detecting different cardiac diseases using a single or reduced number of leads is still challenging. This work aims to provide and validate an automated method able to classify ECG...
10.
Millet J, Aguilar-Sanchez Y, Kornyeyev D, Bazmi M, Fainstein D, Copello J, et al.
J Gen Physiol
. 2021 Mar;
153(5).
PMID: 33769439
No abstract available.