Monitorización continua de la función cardiaca con “parches Ecocardiográficos”: el doctor Spock ya está aquí

In this editorial we review the surprising concept of the "echocardiographic wearable" as a portable device capable of continuously monitoring cardiac function, the technical advances made in this field and the possible clinical applications.En este editorial revisamos el sorprendente concepto de "wearable ecocardiográfico" como dispositivo portable capaz de monitorizar de forma contínua la función cardíaca, los avances técnicos realizados en este campo y las posibles aplicaciones en clínic

Dos sociedades y una sola revista. Ante una nueva etapa

Professors Miguel Ángel García Fernández on behalf of the Spanish Cardiac Imaging Society and Salvador Spina on behalf of the Cardiovascular Imaging Society of the Inter-American Society of Cardiology present the new stage of the RETIC journal with the renewal of the editorial team and the new plans for the magazine.Los profesores Miguel Ángel García Fernández en representación de la Sociedad Española de Imagen Cardíaca y Salvador Spina en representación de la  Sociedad de Imágenes Cardiovasculares de la Sociedad Interamericana de Cardiología presentan la nueva etapa de la revista RETIC con la renovación del equipo editorial y los nuevos planes para la revista

Preoperative airway ultrasound assessment in the sniffing position: a prospective observational study.

BACKGROUND Clinical airway screening tests intend to predict difficult airways, but none have a high predictive value. Recent systematic reviews correlate ultrasound with difficult laryngoscopy. This study aimed primarily to correlate ultrasound measurements of anatomical upper airway structures in the sniffing position with difficult direct laryngoscopy. The secondary aim was to observe gender-based differences. METHODS This prospective, cross-sectional, single-center observational study included 209 patients requiring general anesthesia for elective surgery. Preoperatively, we performed six clinical airway assessments and three ultrasound measurements, which were the Distance from Skin to the Hyoid Bone (DSHB), to the Epiglottis (DSE), and to the anterior commissure of the vocal cords (DSAC) in a sniffing position. Benumof's criteria for the "best view at the first attempt" for direct laryngoscopy assessed the difficulty of laryngoscopy. RESULTS The distance from skin to the epiglottis was the best predictor of direct difficult laryngoscopy (defined as Cormack-Lehane grade ≥ 2b) with a minimum thickness cut-off at 2.70 ± 0.19 cm (sensitivity 91.3%; specificity 96.9%). The skin to the hyoid bone distance cut-off was 1.41 ± 0.30 cm with moderate correlation (sensitivity 80.4%; specificity 60.1%). No correlation was found for the distance to the anterior commissure of the vocal cords. In women compared to men, the skin to the epiglottis distance was more sensitive (92.3% vs. 90.9%) and specific (98.8% vs. 95.2%). CONCLUSIONS DSE in the sniffing position is the most reliable parameter for preoperative airway ultrasound assessment in the Caucasian population, with higher sensitivity and specificity in women, and might be considered as an independent predictor for direct difficult laryngoscopy

Exposición de una cabeza humana a radiofrecuencia

En esta contribución, un plano coronal de cabeza humana es expuesto a 125 mW de potencia radiada por un dipolo de media onda a 1800 MHz. Se proporcionan tanto la TAE (Tasa de Absorción Específica) como los incrementos de temperatura asociados a la exposición electromagnética, para distintos escenarios. Se evalúa el efecto en el confort térmico de los procesos termorregulatorios humanos. Se presenta un importante efecto de adaptación entre el dipolo y la cabeza humana, así como al cráneo como protector del encéfalo ante tensiones térmicas debidas a exposición a campo EM. Como resultado del estudio, se podrían derivar restricciones básicas más precisas combinando los límites de TAE con la respuesta térmica asociada.Esta investigación ha sido financiada parcialmente por la Fundación Séneca, Agencia de Ciencia y Tecnología de la Región de Murcia, a través de una ayuda del Programa Séneca

Robust people detection by fusion of evidence from multiple methods

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. V. Fernández-Carbajales, M. A. García, and J. M. Martínez, "Robust People Detection by Fusion of Evidence from Multiple Methods", in Ninth International Workshop on Image Analysis for Multimedia Interactive Services, 2008. WIAMIS 2008, p. 55-58.This paper describes and evaluates an algorithm for real-time people detection in video sequences based on the fusion of evidence provided by three simple independent people detectors. Experiments with real video sequences show that the proposed integration-based approach is effective, robust and fast by combining simple algorithms.This work is supported by Cátedra Infoglobal-UAM para “Nuevas tecnologías de vídeo aplicadas a la seguridad”, the Spanish Government (TEC2007- 65400 SemanticVideo) and the Comunidad de Madrid (S-050/TIC-0223 - ProMultiDis-CM)

¿Cómo evaluamos las nanopartículas?

IX Congreso Nacional de Evaluación de Impacto Ambiental. Zaragoza 28-30 Marzo 2017El uso de nano materiales en los últimos años, supone el desarrollo de nuevas oportunidades y retos en nuestras vida diaria. Los nanomateriales permiten el desarrollo de nuevas tecnologías que servirán para proteger el medio ambiente y al mismo tiempo ya se están liberando al medio ambiente nanopartículas de diferente composición y origen que pueden producir potenciales impactos ambientales. En el momento actual, no existe un marco regulatorio consensuado por la comunidad científica que permita valorar los efectos toxicológicos ni ambientales de estas nanopartículas ni en los organismos ni sistemas. En esta comunicación se presenta una breve revisión del estado del arte de los principales retos a los cuales hay que enfrentarse para acometer con éxito un procedimiento de  evaluación ambiental basándonos en el análisis de casos de éxito.Peer reviewe

Robust Traffic Sign Detection by means of Vision and V2I Communications

14th International IEEE Annual Conference on Intelligent Transportation Systems - ITSC, , 05/10/2011-07/10/2011, Washington DC, Estados UnidosThis paper presents a complete traffic sign recognition system, including the steps of detection, recognition and tracking. The Hough transform is used as detection method from the information extracted in contour images, while the proposed recognition system is based on Support Vector Machines (SVM), and is able to recognize up to one hundred of the main road signs. Besides a novel solution to the problem of discarding detected signs that do not pertain to the host road is proposed, for that purpose vehicle-to-infrastructure (V2I) communication and stereo information is used. This paper presents plenty of tests in real driving conditions, both day and night, in which a high success rate and low number of false negatives and true positives were obtained, and an average runtime of 35 ms, allowing real-time performance

Improved LiDAR Probabilistic Localization for Autonomous Vehicles Using GNSS

This paper proposes a method that improves autonomous vehicles localization using a modification of probabilistic laser localization like Monte Carlo Localization (MCL) algorithm, enhancing the weights of the particles by adding Kalman filtered Global Navigation Satellite System (GNSS) information. GNSS data are used to improve localization accuracy in places with fewer map features and to prevent the kidnapped robot problems. Besides, laser information improves accuracy in places where the map has more features and GNSS higher covariance, allowing the approach to be used in specifically difficult scenarios for GNSS such as urban canyons. The algorithm is tested using KITTI odometry dataset proving that it improves localization compared with classic GNSS + Inertial Navigation System (INS) fusion and Adaptive Monte Carlo Localization (AMCL), it is also tested in the autonomous vehicle platform of the Intelligent Systems Lab (LSI), of the University Carlos III de of Madrid, providing qualitative results.Research supported by the Spanish Government through the CICYT projects (TRA2016-78886-C3-1-Rand RTI2018-096036-B-C21), Universidad Carlos III of Madrid through (PEAVAUTO-CM-UC3M) and the Comunidad de Madrid through SEGVAUTO-4.0-CM (P2018/EMT-4362)