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Dive into the research topics where Erik Aguirre is active.

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Featured researches published by Erik Aguirre.


Progress in Electromagnetics Research B | 2012

Evaluation of electromagnetic dosimetry of wireless systems in complex indoor scenarios with human body interaction

Erik Aguirre; Javier Arpón; Leire Azpilicueta; Silvia De Miguel Bilbao; Victoria Ramos; Francisco Falcone

The authors wish to acknowledge the financial support of project FASTER, funded by the Consejeria de Industria, Gobierno de Navarra.


Sensors | 2013

Analysis and Description of HOLTIN Service Provision for AECG monitoring in Complex Indoor Environments

Santiago Led; Leire Azpilicueta; Erik Aguirre; Miguel Martínez de Espronceda; L. Serrano; Francisco Falcone

In this work, a novel ambulatory ECG monitoring device developed in-house called HOLTIN is analyzed when operating in complex indoor scenarios. The HOLTIN system is described, from the technological platform level to its functional model. In addition, by using in-house 3D ray launching simulation code, the wireless channel behavior, which enables ubiquitous operation, is performed. The effect of human body presence is taken into account by a novel simplified model embedded within the 3D Ray Launching code. Simulation as well as measurement results are presented, showing good agreement. These results may aid in the adequate deployment of this novel device to automate conventional medical processes, increasing the coverage radius and optimizing energy consumption.


european conference on software architecture | 2014

Analysis of Wireless Sensor Network Topology and Estimation of Optimal Network Deployment by Deterministic Radio Channel Characterization

Erik Aguirre; Peio Lopez-Iturri; Leire Azpilicueta; José Javier Astrain; Jesús E. Villadangos; Francisco Falcone

One of the main challenges in the implementation and design of context-aware scenarios is the adequate deployment strategy for Wireless Sensor Networks (WSNs), mainly due to the strong dependence of the radiofrequency physical layer with the surrounding media, which can lead to non-optimal network designs. In this work, radioplanning analysis for WSN deployment is proposed by employing a deterministic 3D ray launching technique in order to provide insight into complex wireless channel behavior in context-aware indoor scenarios. The proposed radioplanning procedure is validated with a testbed implemented with a Mobile Ad Hoc Network WSN following a chain configuration, enabling the analysis and assessment of a rich variety of parameters, such as received signal level, signal quality and estimation of power consumption. The adoption of deterministic radio channel techniques allows the design and further deployment of WSNs in heterogeneous wireless scenarios with optimized behavior in terms of coverage, capacity, quality of service and energy consumption.


IEEE Sensors Journal | 2017

Design and Implementation of Context Aware Applications With Wireless Sensor Network Support in Urban Train Transportation Environments

Erik Aguirre; Peio Lopez-Iturri; Leyre Azpilicueta; Aitor Redondo; José Javier Astrain; Jesús E. Villadangos; Alfonso Bahillo; Asier Perallos; Francisco Falcone

Transportation system is experiencing steady growth, with the aim of providing more efficient, reliable, and comfortable services, in the framework of intelligent transportation systems. Moreover, context aware environments are one of the main drivers in the achievement of smart cities and smart regions. In this paper, wireless sensor networks (WSNs) embedded in urban transportation systems will be analyzed in terms of impact on wireless channel behavior and system performance. An in-house developed 3-D ray launching tool, with the inclusion of in-house human body model as well as with the study of interference levels is employed. Wireless channel estimations indicate an initial infrastructure node density in the order of 1node/150m2 to 1node/500m2 as a function of the employed transceivers. A practical solution has been implemented, combining an Android-based application and a system level architecture over the WSN for urban train transportation environmental monitoring, providing interaction between users and the environment, with the aid of a combined WSN/WLAN platform as well as an implemented software architecture, scalable in terms of user density and future needs.


BioMed Research International | 2015

Evaluation of Electromagnetic Interference and Exposure Assessment from s-Health Solutions Based on Wi-Fi Devices

Silvia de Miguel-Bilbao; Erik Aguirre; Peio Lopez Iturri; Leire Azpilicueta; Jose Roldan; Francisco Falcone; Victoria Ramos

In the last decade the number of wireless devices operating at the frequency band of 2.4 GHz has increased in several settings, such as healthcare, occupational, and household. In this work, the emissions from Wi-Fi transceivers applicable to context aware scenarios are analyzed in terms of potential interference and assessment on exposure guideline compliance. Near field measurement results as well as deterministic simulation results on realistic indoor environments are presented, providing insight on the interaction between the Wi-Fi transceiver and implantable/body area network devices as well as other transceivers operating within an indoor environment, exhibiting topological and morphological complexity. By following approaches (near field estimation/deterministic estimation), colocated body situations as well as large indoor emissions can be determined. The results show in general compliance with exposure levels and the impact of overall network deployment, which can be optimized in order to reduce overall interference levels while maximizing system performance.


Electromagnetic Biology and Medicine | 2015

Analysis of estimation of electromagnetic dosimetric values from non-ionizing radiofrequency fields in conventional road vehicle environments

Erik Aguirre; Peio Lopez Iturri; Leire Azpilicueta; Silvia de Miguel-Bilbao; Victoria Ramos; Uxue Gárate; Francisco Falcone

Abstract A high number of wireless technologies can be found operating in vehicular environments with the aim of offering different services. The dosimetric evaluation of this kind of scenarios must be performed in order to assess their compatibility with current exposure limits. In this work, a dosimetric evaluation inside a conventional car is performed, with the aid of an in-house 3D Ray Launching computational code, which has been compared with measurement results of wireless sensor networks located inside the vehicle. These results can aid in an adequate assessment of human exposure to non-ionizing radiofrequency fields, taking into account the impact of the morphology and the topology of the vehicle for current as well as for future exposure limits.


BioMed Research International | 2015

Estimation of radiofrequency power leakage from microwave ovens for dosimetric assessment at nonionizing radiation exposure levels.

Peio Lopez-Iturri; Silvia de Miguel-Bilbao; Erik Aguirre; Leire Azpilicueta; Francisco Falcone; Victoria Ramos

The electromagnetic field leakage levels of nonionizing radiation from a microwave oven have been estimated within a complex indoor scenario. By employing a hybrid simulation technique, based on coupling full wave simulation with an in-house developed deterministic 3D ray launching code, estimations of the observed electric field values can be obtained for the complete indoor scenario. The microwave oven can be modeled as a time- and frequency-dependent radiating source, in which leakage, basically from the microwave oven door, is propagated along the complete indoor scenario interacting with all of the elements present in it. This method can be of aid in order to assess the impact of such devices on expected exposure levels, allowing adequate minimization strategies such as optimal location to be applied.


Sensors | 2016

Implementation of Context Aware e-Health Environments Based on Social Sensor Networks

Erik Aguirre; Santiago Led; Peio Lopez-Iturri; Leyre Azpilicueta; L. Serrano; Francisco Falcone

In this work, context aware scenarios applied to e-Health and m-Health in the framework of typical households (urban and rural) by means of deploying Social Sensors will be described. Interaction with end-users and social/medical staff is achieved using a multi-signal input/output device, capable of sensing and transmitting environmental, biomedical or activity signals and information with the aid of a combined Bluetooth and Mobile system platform. The devices, which play the role of Social Sensors, are implemented and tested in order to guarantee adequate service levels in terms of multiple signal processing tasks as well as robustness in relation with the use wireless transceivers and channel variability. Initial tests within a Living Lab environment have been performed in order to validate overall system operation. The results obtained show good acceptance of the proposed system both by end users as well as by medical and social staff, increasing interaction, reducing overall response time and social inclusion levels, with a compact and moderate cost solution that can readily be largely deployed.


IEEE Antennas and Wireless Propagation Letters | 2017

Optimized Wireless Channel Characterization in Large Complex Environments by Hybrid Ray Launching-Collaborative Filtering Approach

Fran Casino; Leyre Azpilicueta; Peio Lopez-Iturri; Erik Aguirre; Francisco Falcone; Agusti Solanas

Simulation techniques based on deterministic methods such as ray tracing and ray launching are widely used to perform radioplanning tasks. However, the quality of the simulations depends on the number of rays and the angular resolution. The computational cost of these simulations in high definition prevents their use in complex environment, and their low-definition counterparts are used instead. In this letter, we propose a technique based on collaborative filtering to lessen the poor-quality problems of low-definition simulations. We show that our approach obtains results very similar to those of high definition in much less time. Also, we compare our approach to other well-known techniques and show that it performs better in terms of accuracy and precision. The use of combined deterministic/collaborative filtering techniques allows the estimation of radioplanning tasks in large, complex scenarios with a potentially large amount of transceivers.


IEEE Transactions on Intelligent Transportation Systems | 2015

Characterization of Wireless Channel Impact on Wireless Sensor Network Performance in Public Transportation Buses

Leire Azpilicueta; Peio Lopez Iturri; Erik Aguirre; José Javier Astrain; Jesús E. Villadangos; Cristobal Zubiri; Francisco Falcone

Wireless communications systems have been rapidly growing during the last two decades, and they are gaining a significant role for multiple communication tasks within public transportation buses. In this paper, the impact of topology and morphology of different types of urban buses is analyzed with the aid of an in-house developed 3D ray launching code and compared with onboard measurements of a deployed wireless sensor network (WSN). The presence of human beings has been taken into account, showing a significant influence in the signal attenuation in the case of considering persons. In addition, the statistical analysis of simulation results considering both large- and small-scale fading has been performed, providing good agreement with statistics for typical indoor environments. In addition, a WSN has been programmed and deployed within the buses in order to analyze topological impact with overall system performance, with the aim of minimizing the energy consumption as well as nondesired interference levels. The use of deterministic techniques destined to consider the inherent complexity of the buses can aid in wireless system planning in order to minimize power consumption and increase overall system capacity.

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Francisco Falcone

Universidad Pública de Navarra

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Peio Lopez-Iturri

Universidad Pública de Navarra

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Leire Azpilicueta

Universidad Pública de Navarra

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José Javier Astrain

Universidad Pública de Navarra

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Jesús E. Villadangos

Universidad Pública de Navarra

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Peio Lopez Iturri

Universidad Pública de Navarra

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Victoria Ramos

Instituto de Salud Carlos III

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Agusti Solanas

Rovira i Virgili University

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Fran Casino

Rovira i Virgili University

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