Filtering mechanical chest compression artefacts from out-of-hospital cardiac arrest data
Authors: Elisabete Aramendi,Unai Ayala,Jo Kramer-Johansen,Trygve Eftestøl,H. Naas,Unai Irusta
Filtering techniques to remove manual compression artefacts from the ECG have not been incorporated to defibrillators to diagnose the rhythm during cardiopulmonary resuscitation. Mechanical and manual compression artefacts may be very different. The aim of this study is to characterize the…
Elsevier BV
A Note on the Boltzmann Distribution and the Linear Ordering Problem
Authors: Alexander Mendiburu,Jose A. Lozano,Jose A. Lozano,Josu Ceberio
The Boltzmann distribution plays a key role in the field of optimization as it directly connects this field with that of probability. Basically, given a function to optimize, the Boltzmann distribution associated to this function assigns higher probability to the candidate solutions with better…
Springer International Publishing
A Computer-Aided SAS Macro for the Evaluation of the Simulation Performances in Missingness Settings
Authors: Urko Aguirre,Inmaculada Arostegui,José M. Quintana
Model validation has become a topic of great interest to many fields such as industry, medicine or even to government. Its main challenge is to provide stable and credible tools so that the decision-maker with the information necessary can make high-consequence judgments. This process requires…
MDPI AG
Categorisation of continuous variables in a logistic regression model using the R package CatPredi
Authors: Inmaculada Arostegui,Inmaculada Arostegui,María Xosé Rodríguez-Álvarez,Irantzu Barrio
Prediction models are gaining importance in many areas such as medicine, meteorology, finance, toxicology, etc. In this context, a common distribution for the response variable is the binomial distribution and hence the logistic regression model is a commonly used regression modelling approach.…
MDPI AG
Study of the influence of different variables on membrane fouling in submerged membrane bioreactors
Authors: D. Iturbe,E. Agirre,A. Urkiaga,J. Etxebarria
AbstractMembrane fouling is still the greatest handicap to overcome in membrane bioreactor (MBR) technology. In this study, a multi-factorial experimental design was carried out in order to optimize the MBR process, studying the effect of major variables involved in the fouling phenomenon as well…
Elsevier BV
A Boltzmann-Based Estimation of Distribution Algorithm for a General Resource Scheduling Model
Authors: Jose A. Lozano,Huaping Chen,Xinle Liang
Most researchers employed common functional models when managing scheduling problems with controllable processing times. However, in many complicated manufacturing systems with a high diversity of jobs, these functional resource models fail to reflect their specific characteristics. To fulfill…
Institute of Electrical and Electronics Engineers (IEEE)
A decision tree to assess short-term mortality after an emergency department visit for an exacerbation of COPD: a cohort study
Authors: Iratxe Lafuente,Inmaculada Arostegui,Inmaculada Arostegui,Nerea González,Francisco Rivas,Susana Garcia-Gutierrez,Nerea Fernández de Larrea,José M. Quintana,Marisa Baré,Cristóbal Esteban
Creating an easy-to-use instrument to identify predictors of short-term (30/60-day) mortality after an exacerbation of chronic obstructive pulmonary disease (eCOPD) could help clinicians choose specific measures of medical care to decrease mortality in these patients. The objective of this study…
Springer Science and Business Media LLC
Hardy Uncertainty Principle, Convexity and Parabolic Evolutions
Authors: Escauriaza, L.,Kenig, C. E.,Ponce, G.,Vega, L.
We give a new proof of the $L^2$ version of Hardy's uncertainty principle based on calculus and on its dynamical version for the heat equation. The reasonings rely on new log-convexity properties and the derivation of optimal Gaussian decay bounds for solutions to the heat equation with Gaussian…
Springer Science and Business Media LLC
Impact of element-level static condensation on iterative solver performance
Authors: Pardo, D.,Álvarez-Aramberri, J.,Paszynski, M.,Dalcin, L.,Calo, V.M.
This paper provides theoretical estimates that quantify and clarify the savings associated to the use of element-level static condensation as a first step of an iterative solver. These estimates are verified numerically. The numerical evidence shows that static condensation at the element level is…
Elsevier BV
A secondary field based hp-Finite Element Method for the simulation of magnetotelluric measurements
Authors: Julen Álvarez-Aramberri,Julen Álvarez-Aramberri,Julen Álvarez-Aramberri,David Pardo,David Pardo,David Pardo,Hélène Barucq,Hélène Barucq
In some geophysical problems, it is sometimes possible to divide the subsurface resistivity distribution as a one dimensional (1D) contribution plus some two dimensional (2D) inhomogeneities. Assuming this scenario, we split the electromagnetic fields into their primary and secondary components,…
Elsevier BV
A spatial Bayesian network model to assess the benefits of early warning for urban flood risk to people
Authors: Karin Tessa Hegetschweiler,Vahid Mojtahed,Vahid Mojtahed,Carlo Giupponi,Stefano Balbi,Ferdinando Villa
Abstract. This article presents a novel methodology to assess flood risk to people by integrating people's vulnerability and ability to cushion hazards through coping and adapting. The proposed approach extends traditional risk assessments beyond material damages; complements quantitative and semi-…
Copernicus GmbH
Relative frequencies of constrained events in stochastic processes: An analytical approach
Authors: J.C. de la Cal,Dmitri Sokolovski,Dmitri Sokolovski,Nicholas Ballard,Elena Akhmatskaya,Elena Akhmatskaya,Simone Rusconi
The stochastic simulation algorithm (SSA) and the corresponding Monte Carlo (MC) method are among the most common approaches for studying stochastic processes. They rely on knowledge of interevent probability density functions (PDFs) and on information about dependencies between all possible events…
American Physical Society (APS)
Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints
Authors: Yang, Peng,Tang, Ke,Lozano, Jose A.,Cao, Xianbin
Evolutionary algorithm-based unmanned aerial vehicle (UAV) path planners have been extensively studied for their effectiveness and flexibility. However, they still suffer from a drawback that the high-quality waypoints in previous candidate paths can hardly be exploited for further evolution, since…
Institute of Electrical and Electronics Engineers (IEEE)
A new approach to categorising continuous variables in prediction models: Proposal and validation
Authors: Irantzu Barrio,Inmaculada Arostegui,Inmaculada Arostegui,María Xosé Rodríguez-Álvarez,José-María Quintana
When developing prediction models for application in clinical practice, health practitioners usually categorise clinical variables that are continuous in nature. Although categorisation is not regarded as advisable from a statistical point of view, due to loss of information and power, it is a…
SAGE Publications
A method to measure ventilation rate during cardiopulmonary resuscitation using the capnogram
Authors: Elisabete Aramendi,Erik Alonso,James K. Russell,Beatriz Chicote,Mohamud Daya,Unai Irusta,Andoni Elola
The survival rate in cardiac arrest is associated to the quality of the chest compressions (CCs) and ventilations provided during cardiopulmonary resuscitation (CPR). Hyperventilation remains common whenever ventilation is manual during resuscitation from cardiac arrest. The capnogram is used to…
IEEE
An agent-oriented hierarchic strategy for solving inverse problems
Authors: Smołka, Maciej,Schaefer, Robert,Paszyński, Maciej,Pardo, David,Álvarez-Aramberri, Julen
Abstract The paper discusses the complex, agent-oriented hierarchic memetic strategy (HMS) dedicated to solving inverse parametric problems. The strategy goes beyond the idea of two-phase global optimization algorithms. The global search performed by a tree of dependent demes is…
University of Zielona Góra, Poland
On the heritability of dandelion-encoded harmony search heuristics for tree optimization problems
Authors: Perfecto, Cristina,Bilbao, Miren Nekane,Del Ser, Javier,Ferro, Armando
Tree based optimization problems stand for those paradigms where solutions can be arranged within a tree-like graph whose nodes represent the optimization variables of the problem at hand and their interconnecting edges topological and/or hierarchical relationships between such variables. In this…
IEEE
Sample entropy as a shock outcome predictor during basis life support
Authors: Beatriz Chicote,Carlos Corcuera,Elisabete Aramendi,Daniel Alonso,Unai Irusta,Carlos Jover
Optimizing defibrillation times may improve survival from ventricular fibrillation (VF) cardiac arrest. VF waveform analysis is one of the best non-invasive decision tools for shock outcome prediction. This study introduces a VF-waveform feature based on the computation of the sample entropy (…
IEEE
Comprehensive characterization of the behaviors of estimation of distribution algorithms
Authors: Carlos Echegoyen,Roberto Santana,Alexander Mendiburu,Jose A. Lozano
Estimation of distribution algorithms (EDAs) are a successful example of how to use machine learning techniques for designing robust and efficient heuristic search algorithms. Understanding the relationship between EDAs and the space of optimization problems is a fundamental issue for the…
Elsevier BV
Is it possible to improve the prediction ability of the BODE index?
Authors: Irantzu Barrio,Cristóbal Esteban,Alberto Capelastegui,Inmaculada Arostegui,Txomin Zabala,Francisco Javier Moraza,Myriam Aburto,Helena Azcuna,Amaia Aramburu
Between January 2003-2004 543 patients with COPD (FEV1 Results: Out of the 543 patients, 96% were male (average age of 68 years, BMI 28.3, 2.4±1.4 in Charlson and FEV1 of 55.0±13.1%). Regarding dyspnea, 48.6% reported dyspnea grade 2(MRC). The average distance covered in the 6MWT was 408.9±92.…
European Respiratory Society (ERS)
A Critical Review of Robustness in Power Grids Using Complex Networks Concepts
Authors: Lucas Cuadra,Sancho Salcedo-Sanz,Javier Del Ser,Silvia Jiménez-Fernández,Zong Geem
This paper reviews the most relevant works that have investigated robustness in power grids using Complex Networks (CN) concepts. In this broad field there are two different approaches. The first one is based solely on topological concepts, and uses metrics such as mean path length, clustering…
MDPI AG