Mexican Journal of Biomedical Engineering <center> <div class="page" title="Page 1"> <div class="layoutArea"> <div class="column"> <p>Call for Papers for Special Issue on “Biomedical Engineering Innovations for Coronavirus COVID-19”</p> </div> </div> </div> <p><a href="Call%20for Papers for Special Issue on “Biomedical Engineering Innovations for Coronavirus COVID-19”"><strong>DOWNLOAD FULL INFO HERE</strong></a></p> <p><strong>MISSION</strong></p> <p align="left"><em>La Revista Mexicana de Ingeniería Biomédica</em> (The Mexican Journal of Biomedical Engineering, RMIB, for its Spanish acronym) is a publication oriented to the dissemination of papers of the Mexican and international scientific community whose lines of research are aligned to the improvement of the quality of life through engineering techniques.</p> <p align="left">The papers that are considered for being published in the RMIB must be original, unpublished, and first rate, and they can cover the areas of Medical Instrumentation, Biomedical Signals, Medical Information Technology, Biomaterials, Clinical Engineering, Physiological Models, and Medical Imaging as well as lines of research related to various branches of engineering applied to the health sciences.</p> <p align="left">The RMIB is an electronic journal published quarterly ( January, May, September) by the Mexican Society of Biomedical Engineering,&nbsp; founded since 1980. It publishes articles in spanish and english and is aimed at academics, researchers and professionals interested in the subspecialties of Biomedical Engineering.</p> <p><strong>INDEXES</strong></p> <p><em>La revista Mexicana de Ingeniería Biomédica</em> is a quarterly publication, and it is found in the following indexes:</p> <p>&nbsp;<img src="/public/site/images/administrador/21.jpg" alt="" width="780" height="110"><img src="/public/site/images/administrador/1.jpg" alt="" width="780" height="110"><img src="/public/site/images/administrador/4.jpg" alt="" width="780" height="110"></p> <p><img src="/public/site/images/administrador/Unknown1.png" alt=""></p> </center> Sociedad Mexicana de Ingeniería Biomédica en-US Mexican Journal of Biomedical Engineering 0188-9532 <p>Upon acceptance of an article in the RMIB, corresponding authors will be asked to fulfill and sign the copyright and the journal publishing agreement, which will allow the RMIB authorization to publish this document in any media without limitations and without any cost. Authors may reuse parts of the paper in other documents and reproduce part or all of it for their personal use as long as a bibliographic reference is made to the RMIB and a copy of the reference is sent. However written permission of the Publisher is required for resale or distribution outside the corresponding author institution and for all other derivative works, including compilations and translations.</p> <p>&nbsp;</p> Contenido Vol. 41 No. 2 (2020) <p>- Información general</p> <p>- Comité Editorial</p> <p>- Mesa Directiva</p> <p>- Índice</p> Coordinador Editorial Copyright (c) 2020-05-15 2020-05-15 41 2 Editor's Letter <p>La Revista Mexicana de Ingeniería Biomédica (The Mexican Journal of Biomedical Engineering), órgano oficial de divulgación de la Sociedad Mexicana de Ingeniería Biomédica, se ha consolidado como una de las mejores revistas científica de su campo en América Latina, tal logro es el resultado de 41 años de un esfuerzo continuo de muchas personas.</p> César A. González Díaz Copyright (c) 2020-05-01 2020-05-01 41 2 6 7 Development and Simulation of an Automated Control Algorithm for Insulin Therapy of Hyperglycemic Emergencies in Diabetes <p>El presente trabajo describe el desarrollo y simulación de un algoritmo para el control automático de la infusión de insulina en del manejo glucémico de pacientes con cetoacidosis diabética (CAD) y estado hiperosmolar hiperglucémico (EHH). Se programó un software que calcula la insulina necesaria para un descenso glucémico de 50mg/dL/h hasta llegar a glucemias de 250mg/dL, para posteriormente mantenerlas en 220mg/dL hasta la remisión de la patología. La simulación del software se realizó haciendo uso de registros glucémicos de 10 pacientes con CAD manejados en el Hospital Juárez de México. Los resultados de la simulación mostraron una menor incidencia de hipoglucemias, así como un menor requerimiento de insulina dentro del tratamiento, sin diferencias entre los descensos medios de glucosa por hora de las mediciones reales y simuladas. Este software propone un uso innovador de los llamados páncreas artificiales al aplicarlos en urgencias hiperglucémicas, implementando además el uso de la sensibilidad a la insulina como variable para el funcionamiento de los mismos. Los resultados demuestran que el algoritmo podría ser capaz de lograr un manejo glucémico apegado a las guías de tratamiento, generando un menor gasto de insulina y evitando hipoglucemias durante la terapéutica, con una posible aplicación en dispositivos biomédicos autónomos.</p> Jared Becerril Rico Copyright (c) 2020 Jared Becerril Rico 2020-05-15 2020-05-15 41 2 8 21 Regularized Hypothesis Testing in Random Fields with Applications to Neuroimaging <p>The task of determining for which elements of a random field (e.g., pixels in an image) a certain null hypothesis may be rejected is a relevant problem in several scientific areas. In the current contribution, we introduce a new method for performing this task, the regularized hypothesis testing (RHT) method, focusing on its use in neuroimaging re- search. RHT is based on the formulation of the hypothesis testing task as a Bayesian estimation problem, with the previous application of a Markovian random field. The latter allows for the incorporation of local spatial informa- tion and considers different noise models, including spatially correlated noise. In tests on synthetic data showing regular activation levels on uncorrelated noise fields, RHT furnished a true positive rate (TPR) of 0.97, overcoming the state-of-the-art morphology-based hypothesis testing (MBHT) method and the traditional family-wise error rate (FWER) method, which afforded 0.93 and 0.58, respectively. For fields with highly correlated noise, the TPR provided by RHT was 0.65, and by MBHT and FWER was 0.35 and 0.29, respectively. For tests utilizing real func- tional magnetic resonance imaging (fMRI) data, RHT managed to locate the activation regions when 60% of the original signal were removed, while MBHT located only one region and FWER located none.</p> Oscar S. Dalmau-Cedeño Dora E. Alvarado-Carrillo José Luis Marroquín Copyright (c) 2020 Oscar Dalmau 2020-06-13 2020-06-13 41 2 22 39 A Socio-technical Approach to Evaluating an Electronic Medical Record System implemented in the Public Health Services of Aguascalientes <p>The objective of this study was to explore a strategy for evaluating an Electronic Medical Record (EMR) system implemented in the public health services of Aguascalientes, Mexico. A questionnaire based on DeLone and McLean’s Model of Information Systems Success (MISS) was adapted to Spanish and applied with 62 primary care physicians working in health centers of the <em>Instituto de Servicios de Salud del Estado de Aguascalientes</em> (ISSEA or the State of Aguascalientes Institute for Health Services). Opportunities for improving EMR systems were also explored from the informants’ perspectives. Additionally, the relationships between MISS components were analyzed using Structural Equations Modeling (SEM). Some MISS components and particular items (service quality and overall satisfaction) presented low averages, reflecting opportunities for improving the development and implementation of EMR, such as the need to continuously update information pertaining to diagnostic and medicine catalogs and develop systems that are interoperable between the second and third levels of care. In conclusion, the present study contributes generating evidence on the use of the MISS to evaluating EMR systems in public health services of Mexico. More evidence should be generated in this field in order to promote the continuous improvement of these information systems.</p> Christian Díaz de León Castañeda Copyright (c) 2020 Christian Díaz de León 2020-07-16 2020-07-16 41 2 40 52 Biomechanical Analysis of a Hip Prosthesis Using a Finite Elements <p>This paper shows a biomechanical analysis of a hip prosthesis under conditions of loads associated with daily activities. For which it compared three metallic materials for the manufacture of a customized prosthesis from medical images, it was used cloud platforms with computer-aided design and finite element analysis. Two models of prosthesis one hollow and the other one solid using parametric spline curves were designed and analyzed. The biomechanical analysis required a mesh size consisting of 2’537,684 tetrahedral elements and 471,335 nodes to study seven cases of postures for a person weighing 75 kg. These cases were analyzed based on 316L stainless steel, Ti-6AL-4V alloy, and another L-605 alloy. It was observed that with activities such as jogging, climbing and descending stairs, materials 316L, and L-605 present the risk of plastic deformation and even fracture. The results show that the most suitable material for the manufacture of this type of prosthesis is the Ti-6Al-4V, which allows us to make both solid and hollow models. Assuming this last material is saved and improves the prosthesis lightness.</p> Miguel Villagómez-Galindo Ana Beatríz Martínez-Valencia Karina Hernández-Romero Luis Béjar-Gómez Copyright (c) 2020 Miguel Villagómez-Galindo, Ana Beatríz Martínez-Valencia, Karina Hernández-Romero, Luis Béjar-Gómez 2020-07-28 2020-07-28 41 2 53 65 Determination of Maximum Noise Level in an ECG Channel Under SURE Wavelet Filtering for HRV Extraction <p lang="es-MX" align="justify">Heart Rate Variability (HRV) is the measure of variation between R-R interbeats, it has been demonstrated to be a good representation of physiological features, especially to the alterations in the Autonomic Nervous System (ANS). Considering the values that compose a HRV distribution are extracted from electrocardiography (ECG), many of the electrical disturbances that affect ECG-based diagnosis can also interfere with the results of the HRV analysis. This paper uses a 30-minute portion of a healthy patient (no arrhythmias detected or annotated) from the MIT-BIH ECG database to analyze the effectiveness of the SURE Wavelet denoising method for extracting the HRV from a progres- sively noisier ECG channel. Results show that the minimum SNR for reliable HRV extraction under these conditions is approximately 5dB and outlines the exponential behavior of HRV extraction for escalating noise levels in the ECG signal.</p> Ricardo Nogueira Cavalieri Pedro Bertemes Filho Copyright (c) 2020 Ricardo Nogueira Cavalieri, Pedro Bertemes Filho 2020-08-01 2020-08-01 41 2 66 72