“In the study of the functioning of the muscle, the study standard is to be able to analyze its behavior or functioning, this behavior is represented by a continuous signal where the muscle signal can be recorded and visualized, to perform this registration a designed circuit is required For the capture of electromyography signals, there are many options of these circuits in the market, depending on the application, the part of the body that is required to be analyzed, the best option can be chosen, in this work, we present a methodology for recording in Simultaneous 8 signals, for the characteristic use of the arm muscles, due to its special shape, which allows it to be placed in the form of a bracelet, the signals that are acquired simultaneously and individually, can be used in many applications depending on the problem and challenge, recommending for use on the arm and providing a ...

“Recovery of movement is a long and hard process for patients. One of the most common problems that occurs is the so-called ““phantom limb““, which induces the body to feel strange due to the failure to use the injured limb. This process is due to the lack of use of the leg that in most cases is fractured and the long recovery time, so the use of crutches makes the body in conjunction with the brain understand that normal movement of the body is with the leg suspended and always with the help of crutches. In the present work a technique for the retraining of the brain is presented by means of which the brain is taught through the presentation of images if it corresponds to the right and left side of the arms and legs. This retraining makes it possible for the brain to understand the coordinated movement between the arms and legs. In addition to the use of virtual reality, throu...

The information and communications technologies are revolutionizing the classic ways of carrying out the processes, in particular, for the teacher selection processes we have the classic form of evaluation, according to the criteria of each educational institution, in the present work it is presented a teacher selection model, using neural networks, using 3 criteria and 23 characteristics, which are entered into individual networks for each criterion and additionally a network for the final classification, is presented based on a prototype, an application developed with the computational tool Matlab, which is described in detail for its application and scaling, for purposes of measuring the performance of the network, evaluations were carried out with a group of 30 candidates, grouped into two groups, a group of 15 candidates with positive conditions complying with the policies of the ed...

The images help in the different processes where a visual interpretation of a scene is required, in this sense we find many applications where images are used to analyze, interpret and classify certain objects within the image, there are different types of images generated by different sensors, in this paper describes a method to analyze the behavior of the muscle, mainly of the knee, when performing rehabilitation exercises, coupled with an optical image where you can see the state of the muscle and the location, the method proposed as a super position between optical and thermal images, with the intention of being able to know the state of the optical image and to have the same image with information of the behavior of the temperature, the super position that we propose is to have as a base the optical image and on placing the thermal image, the results that are presented are oriented ...

In the current educational context, physical education and student sports development face challenges marked by continuous technological evolution. This study proposes a predictive model supported by machine learning and artificial intelligence (AI), establishing a connection between cardiorespiratory capacity (VO2max) and student anthropometric data. With a sample of 179 students aged 13 to 18, the model-building process included preparing and partitioning a dataset, training, and evaluation under the CRISP-DM methodology. A multiple linear regression model was applied, incorporating weight, age, height, sex, and body mass index (BMI) to analyze their relationship with the dependent variable (VO2max). Performance metrics revealed a significant correlation between anthropometric measurements and cardiorespiratory fitness (CRF), with a 24% improvement in training, although test accuracy w...

La presente investigación aborda uno de los principales problemas por los que no se pueden combatir los problemas de salud en el país, identificándolo como un desafío significativo en la gestión de la salud. Es por ello que, se hace necesario generar una herramienta de detección y/o prevención para estos casos, por lo que se propone un modelo de predicción para anticipar pacientes propensos a desertar de los servicios de un centro de salud. La investigación se centra en la clínica Sanna El Golf, donde, mediante un análisis predictivo, se obtiene como resultado un 67% de asertividad, este enfoque muestra beneficios sustanciales para la clínica y destaca su contribución para cumplir con los objetivos planteados. Además, el modelo propuesto se posiciona como una herramienta clave en la prevención de deserciones médicas, identificándolo como un desafío significativo en la g...

La propuesta de innovación educativa que se presenta plantea el objetivo general de explicar cómo y en qué medida el uso del Aplicativo móvil basado en Realidad Virtual mejora la comunicación de niños con Trastorno de Espectro Autista entre 3 y 7 años en una ONG. Debido a la importancia que tiene a desarrollar la comunicación en los niños autistas, se decidió el apoyo del uso de los recursos tecnológicos a fin de mejorar sus habilidades comunicativas. Se centra la propuesta en el aplicativo móvil basado en RV debido a que posee diversas opciones de actividades que el docente, terapeuta o cualquier persona especializada puede utilizar en las sesiones de clase con niños autistas. Para este caso, se seleccionó el Test Illinois de Aptitudes Psicolingüísticas (ITPA, en inglés) creado por Samuel Kirk, James McCarthy y Winifred Kirk. En base a los resultados obtenidos se realiz...

Recommender systems have had a great development in recent years, helping exponentially in the electronic commerce sector. This has many applications to improve user behavior factors with different filtering techniques; however, most of these systems lack a presentation and interaction model that really influences users. In this context, e-commerce sites seek different strategies to allocate recommendations viewed by the online user in an accurate and timely manner; even so, reviewing different articles it is not very clear if the way in which recommended articles are presented has a positive impact on user behavior. On the other hand, the technology of conversational artificial intelligence systems had a great size, highlighting ChatGPT as an innovative tool. Finally, this research seeks to validate whether the implementation of an integrated SR in ChatGPT influences the post-purchase b...

ABSTRACT Diabetic retinopathy is a leading cause of vision loss in developed countries. Regular diabetic retinal eye screenings are needed to detect early signs of retinopathy, so that appropriate treatments can be rendered to prevent blindness. Digital imaging is becoming available as a means of screening for diabetic retinopathy. However, with the large number of patients undergoing screenings, medical professionals require a tremendous amount of time and effort in order to analyse and diagnose the fundus photo-graphs, the treatment is done on a digital image, to obtain results as complex as recognizing patterns or as simple as enhancing con-tours, may involve filtering, transformations of gray levels, based on histogram processing, describing, between others. The design of a teaching tool to facilitate image processing, allowing access to each of the steps involved in the system, ensu...

Our analysis explores the benefits of artificial intelligence (AI) in music generation, showcasing progress in electronic music, automatic music generation, evolution in music, contributions to music-related disciplines, specific studies, contributions to the renewal of western music, and hardware development and educational applications. The identified methods encompass neural networks, automation and simulation, neuroscience techniques, optimization algorithms, data analysis, and Bayesian models, computational algorithms, and music processing and audio analysis. These approaches signify the complexity and versatility of AI in music creation. The interdisciplinary impact is evident, extending into sound engineering, music therapy, and cognitive neuroscience. Robust frameworks for evaluation include Bayesian models, fractal metrics, and the statistical creator-evaluator. The global reach...

Smishing is a form of phishing carried out via mobile devices to steal confidential information from victims. The number of smishing attacks has increased in recent years due to the large number of users acquiring these easy-to-use and functional devices. This literature review objective is to examine the techniques and methods used in smishing attacks using classification algorithms. To do so, we conducted a manual search process and selected 155 articles from Scopus and 29 articles from access to research for development and innovation (ARDI). Of these, 36 articles met the inclusion criteria. In addition, the algorithms most commonly used by the studies were random forest classification techniques, decision trees, and neural networks. These studies analyzed various machine learning models for detecting phishing and smishing messages. The attack simulation scenarios included generating ...

This systematic review focused on evaluating the impact of the machine learning operations (MLOps) methodology on anomaly detection and the integration of artificial intelligence (AI) projects in computer auditing. Data collection was carried out by searching for articles in databases, such as Scopus and PubMed, covering the period from 2018 to 2024. The rigorous application of the preferred reporting items for systematic reviews and meta analyses (PRISMA) methodology allowed 88 significant records to be selected from an initial set of 1,389, highlighting the completeness of the selection phase. Both quantitative and qualitative analysis of the data obtained revealed emerging trends in the research and provided key insights into the implementation of MLOps in AI projects, especially in response to increasing complexity, whereby the adoption of the MLOps methodology stands out as a crucia...

The fruit quality has a direct impact on how the fruit looks and how tasty the fruit is. The correct use of tools to determine fruit quality is essential to offer the best product for the final consumer. This study has used the preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology. The study objective was elaborate a systematic literature review (SLR) about research of the application of techniques based on artificial intelligence to analyze indicators obtained by near infrared spectroscopy (NIRS) and chemometrics to determine the quality of fruits, including blueberries. The most frequently addressed indicator is the soluble solids concentration (SSC) which was used in several studies with techniques such as support vector machines (SVM) and convolutional neural networks (CNN). According to the results obtained, it is possible to use these techniques to...

ABSTRACT Satellite images provide information on land cover, these will depend on the spatial resolution for analysis, in this paper we present a technique for image analysis based on edge detection using sobel-based detectors, in their different shapes. High-resolution satellite images provide a level of detail of land cover in the submetric range, which is equivalent to detecting objects that measure less than 1 meter on average, which is interpreted in one pixel in the image; With the analysis of high resolution images, objects such as ships can be determined, which are found in ports as well as on the high seas. Edge detectors applied to objects present in high resolution images help in the analysis of the morphology of the object. In the present study, high resolution images corresponding to boats were analyzed, which allows determining the contour of the boat with respect to sea wa...

ABSTRACT Information and communication technologies are revolutionizing the different areas of knowledge, and medicine is an area where the uses of new technologies are put into practice for the well-being of people. But these new ways of using technology produce a high risk when information is required to be transmitted, either due to the loss of information also due to the risk that the information may be altered for different reasons and due to the theft of information. It is for these reasons that it is necessary to have certain mechanisms to be able to achieve the maximum integrity of the information, in this work a methodology is presented to be able to safely transmit information from the different medical teams to medical information based on an organization of the information, in order to present in a practical way its possible implementation in the development of systems to dev...

Parte de la Global Sustainability Conference 2022

ABSTRACT Health systems are in constant change, either due to technological progress or due to the same need produced by external agents such as COVID-19, which have caused an analysis of all the information systems dedicated to the various procedures in the health area, from clinical information management, information from health insurers, image information management, drug supply management, medical supplies and supplies management, among other systems specific to each health institution. It is in this environment where a lot of vital information for decision making is produced that in most cases is impossible to manage, because it is found on different platforms and in most cases in different institutions. The present research presents a methodology for the exchange of information between systems based on the interoperability of systems and using the XML standard, very similar to wha...

The evaluations in the development of the treatment to be able to recover the motor activity, it is considered of utmost importance in the rehabilitation of lower limbs, the state of the art allows us to evaluate various techniques and commercial products available for the evaluation of the movement and with emphasis on the members inferior, commercial products have the disadvantage of the high cost, which does not allow small medical offices to be able to implement these types of solutions, in this paper we propose a mechanism to evaluate the movements of lower limbs at a very low cost, the The proposal is based on equipment and components that are commonly used, economical and easily acquired; One of its main components is the passive marker that is composed of "expanded polystyrene" that has a half-sphere shape and is placed in the joint to be analyzed, complements the solution a vide...

ABSTRACT The effects of the pandemic caused by COVID-19, are causing the development of medical implements and equipment quickly, in some cases due to the emergency situation authorizations are being granted for the manufacture, marketing and use. In many cases these developments are motivated by a local need that can help mitigate the effects of COVID-19. It is in this scenario, where we present a methodology to be able to collaborate in that these developments, providing recommendations of good practices for the functional testing stage, based on the design of the test protocols and informed consent, with these testing mechanisms, are It can be presented to a health ethics committee, with the intention that it be approved for subsequent application. With the completion of the studies using the equipment developed and having passed the study protocol, the results of the study guarantee ...

ABSTRACT The development of medical equipment is related to compliance with regulations, with the intention of safeguarding the physical integrity of patients, being able to ensure that a medical equipment complies with the regulations and can be registered with its respective authorization for use, it is a job long-term with the use of multiple resources. It is due to this characteristic that it is difficult for them to be able to register developments of medical equipment in most countries, either due to lack of infrastructure to carry out patient safety tests or due to the lack of regulations for the registration of medical equipment manufactured in their facilities of respective countries. In this research, a methodology is presented to be able to design medical equipment, considering the regulations and considerations regarding patient safety, as a result, a procedure based on the s...