Muscle temperature analysis, using thermal imaging, applied to the treatment of muscle recovery

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 proposing a new way of analyzing data with thermal information of the behavior of the muscles, by means of a complex image with optical and thermal information, the method is an aid in the treatment of muscular recovery, with the benefits of being scalable and applicable to other muscles and parts of the human body

Methodology for muscle recovery, through motor imagery techniques applying virtual reality

"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, through the OCULUS GEST II lenses, allowing maximum concentration, the results allow to improve the recovery time of patients, the technique can be used both in rehabilitation centers and in the patient's own home patient.

Methodology for the multichannel recording of upper limb muscle activity

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 clean signal allowing Being used in the design of detection mechanisms for some pathologies related to the arm muscles and in the design of control mechanisms for the design of prostheses.Campus Lima Centr

Methodology for muscle recovery, through motor imagery techniques applying virtual reality

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, through the OCULUS GEST II lenses, allowing maximum concentration, the results allow to improve the recovery time of patients, the technique can be used both in rehabilitation centers and in the patient's own home patient.Campus Lima Centr

Method for the registration and analysis of aerial images, applied to the architecture of construction sites, using low-cost devices

FPGA-based hardware architectures are being used more frequently in many applications, thanks to the different programming languages that allow us to access them. The applications are also being varied, one of the most common areas of work with aerial images, normally acquired with cameras that are on board drones, the working mode of these configurations, is focused on being able to use visualize the images online As the flight is carried out, if you want to carry out some type of processing, it is necessary to download the image from the camera's memory, this process is already carried out when the drone has finished the flight. In this work we present a methodology to be able to use the low-cost hardware myRIO, since it has a processor and an FPGA included, we present the steps to be able to work with the device, as well as an example of online processing so that the video and images that the drone camera can process on board and transmitted online, so that images and videos are processed while the drone is in flight, thereby improving the performance of the drone and can be applied In special operations, as a result we present the device configuration and the results of an example.Campus Lima Su

Method for registering attention in online classes using BCI techniques

The virtual keys have caused many changes in the development of online classes, we present a mechanism to be able to evaluate the attention in the students, presented through a characteristic value that is from 0 to 100%, as well as the meditation characterized in the moment the student is distracted, these parameters are evaluated using a BCI device and presented numerically, the experimentation was carried out in 45-minute classes, where the results allow evaluating that the students obtain a greater capacity for concentration in the first beginnings of the class and for an approximate time of 20 minutes, which will allow us to evaluate and improve the strategy to achieve greater attention to children, especially younger children

Muscle temperature analysis, using thermal imaging, applied to the treatment of muscle recovery

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 proposing a new way of analyzing data with thermal information of the behavior of the muscles, by means of a complex image with optical and thermal information, the method is an aid in the treatment of muscular recovery, with the benefits of being scalable and applicable to other muscles and parts of the human body

Application of neural networks in the teacher selection process

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 educational institution and a second group with candidates who do not meet the policies of the educational institution, with which sensitivity values ​​of 93% and a specificity level of 86% were obtained, we conclude that the model presented can be replicated and conditioned to the needs and policies of each educational institution