Mexican Journal of Biomedical Engineering <center> <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The papers that are considered for being published in the RMIB must be original, unpublished, and first rate, and they can cover the areas of Medical Instrumentation, Biomedical Signals, Medical Information Technology, Biomaterials, Clinical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> Content Vol. 43 No. 1 (2022) <p>E-book edition of the volume 43, number 1, year 2022, of the Revista Mexicana de Ingeniería Biomédica.</p> <p>In this issue:</p> <ul> <li class="show">Detection of COVID-19 Lung Lesions in Computed Tomography Images Using Deep Learning</li> <li class="show">Healing of Wounds Treated with Chitosan Hydrogels with Extracts from Aloe vera and Calendula officinalis</li> <li class="show">A Chitosan-based Hydrogel with PLCL, ZnO NPs, and Oligoelements: A Promising Antibiotic Scaffold for Tissue Engineering</li> <li class="show">Effect of the Unilateral Breast Cancer Surgery on the Shoulder Movement: Electromyographic and Motion Analysis</li> <li class="show">Biomechanics Assessment of Kinematic Parameters of Low-Sprint Start in High-Performance Athletes Using Three Dimensional Motion Capture System</li> </ul> Coordinador Editorial Copyright (c) 2022-04-26 2022-04-26 43 1 Detection of COVID-19 Lung Lesions in Computed Tomography Images Using Deep Learning <p>The novel coronavirus (COVID-19) is a disease that mainly affects the lung tissue. The detection of lesions caused by this disease can help to provide an adequate treatment and monitoring its evolution. This research focuses on the binary classification of lung lesions caused by COVID-19 in images of computed tomography (CT) using deep learning. The database used in the experiments comes from two independent repositories, which contains tomographic scans of patients with a positive diagnosis of COVID-19. The output layers of four pre-trained convolutional networks were adapted to the proposed task and re-trained using the fine-tuning technique. The models were validated with test images from the two database’s repositories. The model VGG19, considering one of the repositories, showed the best performance with 88% and 90.2% of accuracy and recall, respectively. The model combination using the soft voting technique presented the highest accuracy (84.4%), with a recall of 94.4% employing the data from the other repository. The area under the receiver operating characteristic curve was 0.92 at best. The proposed method based on deep learning represents a valuable tool to automatically classify COVID-19 lesions on CT images and could also be used to assess the extent of lung infection.</p> Joy Ingrid Arreola Minjarez José David Díaz Román Boris Jesús Mederos Madrazo José Manuel Mejía Muñoz Lidia Hortencia Rascón Madrigal Juan de Dios Cota Ruiz Copyright (c) 2022 Joy Ingrid Arreola Minjarez, José David Díaz Román, Boris Jesús Mederos Madrazo, José Manuel Mejía Muñoz, Lidia Hortencia Rascón Madrigal, Juan de Dios Cota Ruiz 2022-04-13 2022-04-13 43 1 7 18 Healing of Wounds Treated with Chitosan Hydrogels with Extracts from Aloe vera and Calendula officinalis <p>This project's purpose was to evaluate the healing effects of chitosan (CS) hydrogels loaded with extracts from <em>Aloe vera</em> (CS+AV) and <em>Calendula officinalis</em> (CS+CO) on wounds of diabetic and non-diabetic Wistar rats. A total of 24 rats were used; animals were randomly divided into three diabetic and three non-diabetic groups (one control and two treated groups) and monitored for 13 days. A biopsy on the wound site was recovered to assess the collagen and n-acetyl glucosamine content. The wound area ratio was reduced since day 1 on both non-diabetic treated groups. A similar effect was observed on the diabetic group treated with CS+AV, while the diabetic group treated with CS+CO showed a reduction in wound area compared to the diabetic control until day 11 after being wounded. Collagen and n-acetyl glucosamine content were higher in every treated group. Further studies are needed to clarify the underlying mechanisms through which they promote wound healing. These results suggest that the hydrogels prepared are potential material to be used as wound dressings.</p> Arturo Kenzuke Nakamura-García Elba del Carmen Santos-Garfias Daniela Israeely Alonso-Martínez Teresa Itandehui Garambullo-Peña José Fernando Covián-Nares Mariana Gómez-Barroso Rocío Montoya-Pérez Copyright (c) 2022 Arturo Kenzuke Nakamura-García, Elba del Carmen Santos-Garfias, Daniela Israeely Alonso-Martínez, Teresa Itandehui Garambullo-Peña, José Fernando Covián-Nares, Mariana Gómez-Barroso, Rocío Montoya-Pérez 2022-04-25 2022-04-25 43 1 19 31 A Chitosan-based Hydrogel with PLCL, ZnO NPs, and Oligoelements: A Promising Antibiotic Scaffold for Tissue Engineering <p>Tissue engineering involves anchorage-dependent cells cultured on scaffolds, with growth factors added to facilitate cell proliferation. Its use in transplants implies the risk of bacterial infection. The current contribution describes the preparation and antibacterial evaluation of a chitosan-based hydrogel physically cross-linked with poly(l-lactic-co-ɛ-caprolactone) (PLCL) and enriched with zinc oxide nanoparticles (ZnO NPs) and trace elements (potassium and magnesium). The material was developed as a scaffold with built-in antibacterial properties. Chitosan and PLCL are biocompatible support materials applied in medicine for the repair and regeneration of damaged tissues, objectives promoted by ZnO NPs and the aforementioned trace elements. The ZnO NPs were elaborated by chemical coprecipitation. The materials were characterized by XRD, FT-IR, and SEM. Antibacterial testing was performed with strains of <em>Escherichia coli</em> and <em>Staphylococcus aureus</em> by the Kirby-Bauer method, in accordance with the NCCLS and CLSI guidelines. It was possible to obtain a homogeneous hydrogel with adequate morphology and distribution of elements. The hydrogel with 300 mM of Mg, K, and ZnO NP’s showed antibacterial inhibition halos of 13 mm for <em>S. aureus</em> and 19 mm for <em>E. coli</em>. This innovative biomaterial with trace elements holds promise for tissue engineering by considering the challenge of bacterial infection.</p> Yvain de los Ángeles Salinas Delgado Sthepanie Soria Sánchez Gabriela Guadalupe Esquivel Barajas Eduardo Leos Quiñonez Luis Alberto Bretado Aragón Copyright (c) 2022 Yvain de los Ángeles Salinas Delgado, Sthepanie Soria Sánchez, Gabriela Guadalupe Esquivel Barajas, Eduardo Leos Quiñonez, Luis Alberto Bretado Aragón 2022-04-25 2022-04-25 43 1 32 39 Effect of the Unilateral Breast Cancer Surgery on the Shoulder Movement: Electromyographic and Motion <p>After breast cancer surgery, women might develop musculoskeletal impairments that affect movements of the upper limbs and reduce the quality of life. The objective of this research was to analyze the effect of the unilateral breast cancer surgery on the kinematics of the shoulder and the electrical activity of the upper trapezius, middle deltoid and pectoralis major muscles. Eight right-handed female participants, mean age 46.5 ± 5.45 years and mean body mass 71.21 ± 13.33 kg, with unilateral breast cancer surgery, without breast reconstruction and without lymphedema symptoms were included in the research. Flexion-extension and abduction-adduction movements of the shoulder were evaluated with infrared cameras and the electrical activity was measured using surface electromyography. The statistical analysis of the direction angles showed a significant reduction of the flexion-extension and abduction-adduction movements in the affected side in most of the participants (p&lt;0.05). The muscle electrical activity did not present a significant difference between the two sides for the flexion-extension and abduction-adduction movements (p&gt;0.05). The results suggest that the surgical procedure could compromise the range of motion of the affected side. Furthermore, this research contributes to clarify the effect of the surgical procedure in the range of motion of the upper limbs.</p> Israel Miguel-Andrés Silvia Beatríz García-González José de Jesús Mayagoitia-Vázquez Karla Barrera-Beltrán Didier Samayoa-Ochoa Miguel León-Rodríguez Leonardo Azael García-García Copyright (c) 2022 Israel Miguel-Andrés, Silvia Beatríz García-González, José de Jesús Mayagoitia-Vázquez, Karla Barrera-Beltrán, Didier Samayoa-Ochoa, Miguel León-Rodríguez, Leonardo Azael García-García 2022-04-25 2022-04-25 43 1 40 51 Biomechanics Assessment of Kinematic Parameters of Low-Sprint Start in High-Performance Athletes Using Three Dimensional Motion Capture System <p>In a sprint start, the athlete takes up a position with their hands just behind a line, arms vertical, feet generally placed about a shoe length apart, and the hips rising above the line of the head. Mistakes in this position influence the execution of the low-sprint start, and can drastically influence the initial running speed and acceleration achieved by the athlete. Common mistakes occur due to the misconception that athletes must also lean forward, bringing the shoulders ahead of their hands and putting pressure on them. A standard approach to identify sprint start mistakes is to use a stick or weighted string to drop down from the shoulders. The effective implementation of this approach depends on the coach’s experience and remains a significant challenge. In this study, a three-dimensional motion capture system with the Vicon® Plug-in-Gait model was used to characterize the kinematic parameters that influence the execution of low-sprint start in six high-performance athletes. The main kinematic parameters are reaction time, stride length, and stride time. The obtained results demonstrate the potential utility of a three-dimensional motion capture system to assess the kinematic parameters of low-sprint start in high-performance athletes.</p> Mirvana Elizabeth Gonzalez Macias Carlos Villa Angulo Emilio Manuel Arrayales Millan Karla Raquel Keys Gonzalez Copyright (c) 2022 Mirvana Elizabeth Gonzalez Macias, Carlos Villa Angulo, Emilio Manuel Arrayales Millan, Karla Raquel Keys Gonzalez 2022-04-26 2022-04-26 43 1 52 64