In the present project it is focused on patients Amotrophy Lateral Sclerosis (ALS), so these patients do not have control of their motor functions therefore are unable to move on their own, requiring third party assistance to move with his wheelchair. Patients of Amyotrophic Lateral Sclerosis do not lose their cognitive ability, which is why you can use it to control his wheelchair as part of a computer chandler system using Cyton board of open BCI brain signals is extracted and with the help of deep learning classification of signals, so the patient can move their own means be held. In this project it was possible to perform communication computer brain, in addition to the proper functioning of the system, in addition it was possible to implement a security system that protects the patient against accidents, so the patient is safer to move; whole system gives the patient, partial indepe...

Currently in Peru, patients with degenerative diseases, such as Amyotrophic Lateral Sclerosis (ALS) have lost of communication ability. Many researchers' papers that establish basic communication system for these patients. It is also essential to know their feelings or state of mind through their emotions, in this study, we present an analysis of electroencephalographic signals (EEG) applied to emotions such as fear, tenderness, happiness and surprised; it was used linear discriminant analysis (LDA) to get the identification and classification of the 4 emotions with a success rate of 63.36% on average.

Actualmente existen diversas enfermedades degenerativas, como la Esclerosis Lateral Amiotrófica (ELA), la cual es una enfermedad que ataca a las neuronas encargadas del control de los movimientos del cuerpo, como resultado de esta enfermedad la persona que la padece no puede mover ninguna parte del cuerpo, por ello usan una silla de ruedas, lo que los convierte en personas dependientes para trasladarse de un lugar a otro. Teniendo en cuenta que los pacientes de Esclerosis Lateral Amiotrófica no pierden su capacidad cerebral, se plantea el desarrollo de una interfaz cerebrocomputador, la cual se encarga del procesamiento y clasificación de ondas cerebrales para controlar su silla de ruedas; usando Matlab y OpenBCI que consta de 16 electrodos que se ubican en la cabeza del usuario, el cual imaginará el movimiento de los brazos, para que el algoritmo sea capaz de interpretar las señale...

Varicose veins also known as venous insufficiency, are dilated veins due to an accumulation of blood that occurs in different parts of the body, the most common are in the legs, in addition to having a higher index in women for clothing style that they use. Varicose veins are classified by grades ranging from I to IV and can cause pain, itching, cramps and even ulcers if they are treated in time. Not all varicose veins can be visible superficially, many of them begin inside of the skin. According to the WHO (World Health Organization) 10% of the world population has varicose veins. That is why the detection of suspicions of varicose veins in the legs was raised in this research work, first a thermal image will be obtained using the FLIR ONE Pro thermal camera following a necessary protocol of distance and temperature range. The thermal image is processed in MATLAB to identify the segment...

Currently, the study of brain waves has shown a type of alternative communication, in addition to the different applications that can be made with the brain waves obtained from each individual. The OpenBCI is an open source platform for electroencephalography (EEG), in addition to a device called Cyton Board capable of collecting brain waves and these can be sent to a computer to be processed. In this research work, a computer-machine interface is presented that may be able to collect the brain waves of individuals and process them, this is to indicate the differences between the thinking of the imaginary movement of the left and right arm, also of the leg left and right brain signals. Then, to use these brain wave differences in applications focused on people with physical disabilities.

At present diverse illnesses exist between soft, mortal and silent, in which some studies of the biomedical try to minimize and/or help to fight these illnesses. Due to this, in this paper presents a processing and comparison system of brainwaves, the patients with Amyotrophic Lateral Sclerosis, they are not able to move and/or use any of their body extremities so could communicate their basics needs by the brainwaves produced by their brains, taking apart the communication by the flickers, showing a more reliable and exact alternative. The following work consists of the design of a Wireless System able to show the brainwaves produced by the patient with Amyotrophic Lateral Sclerosis and also process and compare to get the meaning of each of them identifying the basics needs; moreover, it will benefit the family because it's going to exist a nonverbal communication with the patient.

Currently, having a sonar of echolocation in an electronic lab is complicated due to the high cost of its implementation, which is why it is proposed the implementation of a basic sonar, using agile technologies such as the Arduino, which will be used to implement this paper, also it has a servomotor and an ultrasonic sensor, which is responsible for detecting the distance where the objects are located. The Arduino will be in charge of controlling the servomotor movements which have to be between 15 and 165 degrees, in addition, it will send the information through the serial port to a computer, in which the data will be processed and displayed using the Processing software.

Currently, having a sonar of echolocation in an electronic lab is complicated due to the high cost of its implementation, which is why it is proposed that the implementation of a basic sonar, using agile technologies such as the Arduino, will be used to implement this paper. Also it has a servomotor and an ultrasonic sensor, which is responsible for detecting the distance where the objects are located. The Arduino will be in charge of controlling the servomotor movements which have to be between 15 and 165 degrees. In addition, it will send the information through the serial port to a computer, in which the data will be processed and displayed using the Processing software.