268 research outputs found

    La BioingenierĂ­a en la Escuela

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    Peer Reviewe

    On the feasibility of noncontact ECG measurements

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    “© © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”The article by Kranjec et al. [1], “Novel methods of noncontact heart rate measurement: A feasibility study” is interesting and informative as it compares different contactless methods for heart rate detection. Nevertheless, the use of the term “capacitively coupled ECG” (CCECG) in the article is confusing and may mislead readers. That article studies the feasibility of four noncontact methods for heart rate measurement, which are classified in two groups: “the methods measuring electromagnetic energy generated by the bioelectrical activity within the cardiac muscle (referred to as direct methods), and the methods measuring displacement of a part of the subject’s body caused by the periodic physical contractions of the heart (referred to as indirect methods). The first group is represented by a measuring device which detects changes in surrounding electric field...” [sic]. Later on, this device is described in [1] as being based on “capacitively coupled electrodes” and hence termed “CCECG Measuring Device.” The electrodes are two 48-cm2 metal plates placed side by side (see [1, Fig. 3]) placed at distances from 5 to 60 cm from the chest.Peer ReviewedPostprint (author's final draft

    Generar coneixement a la Universitat

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    Actualment molts joves creuen que la universitat és la continuació de l’institut. Empreses com Google, Facebook, Microsoft, Apple o AstraZeneca demanen doctors/es en ciències o enginyeri

    La Compatibilidad electromagnética, un problema en la sociedad actual

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    Biosensors for m-health

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    Postprint (author's final draft

    Solar energy radiation measurement with a low–power solar energy harvester

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    Solar energy radiation measurements are essential in precision agriculture and forest monitoring and can be readily performed by attaching commercial pyranometers to autonomous sensor nodes. However this solution significantly increases power consumption up to tens of milliwatts and can cost hundreds of euros. Since many autonomous sensor nodes are supplied from photovoltaic (PV) panels which currents depend on solar irradiance, we propose to double PV panels as solar energy sensors. In this paper, the inherent operation of the low-power solar energy harvester of a sensor node is also used to measure the open circuit voltage and the current at the maximum power point (IMPP), which allows us to determine solar irradiance and compensate for its temperature drift. The power consumption and cost added to the original solar energy harvester are minimal. Experimental results show that the relation between the measured IMPP and solar irradiance is linear for radiation above 50¿W/m2, and the relative uncertainty limit achieved for the slope is ±2.4% due the light spectra variation. The relative uncertainty limit of daily solar insolation is below ±3.6% and is hardly affected by the so called cosine error, i.e. the error caused by reflection and absorption of light in PV panel surface.Peer ReviewedPostprint (author's final draft

    Noniterative algorithms for electrical resistivity imaging applied to subsurface local anomalies

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    In this paper, we compare five noniterative (one-step) algorithms for two-dimensional electrical resistivity imaging applied to the location of subsurface local anomalies. Here, we analyze the performance of two backprojection algorithms and three algorithms based on a least-squares criterion. These five algorithms can also be adapted for process and medical tomography. Algorithm performance is first assessed from synthetic data derived from an analytical solution. We show that least-squares-based algorithms outperform backprojection algorithms in all situations considered. One of the least-squares algorithms was further validated with experimental measurements involving spherical objects immersed into a water tank. Data were obtained using a 16-electrode linear array and a computer-controlled data-acquisition system. A reference measurement before immersing the objects into the water tank reduced errors in the reconstructed image attributable to the uncertain electrode position and the finite dimensions of the tank. Images deteriorated for deeper objects, but neglecting measurements with the smallest signal-to-noise ratio improved the results.Peer Reviewe
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