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In the present work, we determined the necessary time to unchain the synthesis of vitamin D for a phototype II skin in Ibarra, Ecuador In a specific sky situation, the range of exposure time at Sun radiation is 4 to 6 minutes depending on the month of the year, but with clouds, it is needed about 70% more exposure time This time range is easily reached in normal conditions, but during a lockdown period, as in pandemic situations like the COVID 19 one or for people that need to live, work or study inside, if they are exposed to the direct Sun for the minutes indicated above, they will have a natural vitamin D supplement that will improve its health © New Testament Society of Southern Africa

Neck injuries and pathologies are widespread and cause disability. Clinicians use different tools to measure the cervical spine' mobility to diagnose different disorders. There are many reliable assessment methods for this purpose, but their benefits have not been deeply investigated and compared, as well as their measurement results. This review aims to summarise the advantages, accuracy, and reliability, of measurement tools and devices used in studies or trails related to the neck and cervical spine evaluation, to evidence the use of inertial sensors and compare them, to highlight the best assessment systems and their characteristics. A literature review has been performed in a range of five years, to obtain information about cervical spine evaluation. Studies that met the established inclusion criteria were selected and classified according their pathology studied, objectives and methodologies followed when evaluating the cervical spine functionality. Studies were described chronologically highlighting the tools employed, where the motion capture systems and cervical range of motion devices stood out as the most used and reliable methods. Cervical spine assessment studies employing systems with inertial sensors as an accurate method, is not evidenced in the sample. However, they are widely tested and different studies validate these systems for their clinical area use, obtaining high reliability and repeatability. Thereby, this review argues that inertial sensors have proven to be a portable, and easy to use tool for the evaluation of neck and its related pathologies, with a great accuracy level.

A considerable proportion of the global population has lost vision due to the late diagnosis of glaucoma, causing ocular pressure on the optic nerve, and blindness to become irreversible. A number of 60.50 million people suffer open angle (OAG) and angle closure glaucoma (ACG) in 2010, increasing to 79.60 million by 2020, and of these, 74% will have OAG. For that reason, the objective of this project was to implement a computational technique of early diagnosis of glaucoma using imaging processing in MATLAB, with the aim of preventing future more severe damages. Together with this, it also sought to improve the precision of the technique to complement the work of the specialist, and providing more accessibility to the patient. The entire ACRIMA database was used for the diagnosis and then analyzed and processed by MATLAB, by extracting the most relevant qualities from the images to reach an optimal diagnosis. The performance test was based on Matlab glaucoma detection proposed method, showing satisfactory results with an accuracy of 94.61%, sensitivity of 94.57% and specificity of 95%. These percentages showed that glaucoma detection using Matlab is feasible.

Pigmented skin lesion identification is essential for detecting harmful pathologies related to this large organ, especially cancer. An analysis of the different methods and projects developed to diagnose these illnesses throughout the years showed that they had become very useful tools to identify melanoma, dermatofibroma, and basal cell carcinoma, among other types of cancer, are seen through the use of new computer-aided technologies. The most common diagnosis is based on dermoscopy and the dermatologist expertise that can improve accuracy with image detection techniques and classification by computer. Therefore, this study aims to develop software models able to detect and classify skin cancer. The following work is based on the use of dermoscopy images obtained from the HAM10000 dataset, a database with 10000 images previously tested and validated for research use. The main process is divided into three relevant parts: image segmentation, feature extraction (FE) using ten different pre-trained Convolutional Neural Networks (CNNs), and Support Vector Machine (SVM) to establish a classification model. According to the results, the models of classification performed very well using the image segmentation step, showing average accuracies between 80.67% (Xception) and 90% (Alexnet). In contrast to the process without using image segmentation, where no method reached 60%. AlexNet plus SVM model showed the minor running time and presented the higher accuracy rate (90.34%) for the correct identification and classification of the seven categories of cutaneous lesions taken into account.

Among the various systemic disorders that hands can suffer, rheumatoid arthritis is one of the most common. This disease affects the synovial tissue of the joints, making extension and flexion movements difficult. Currently, there are drugs on the market to treat it, but they produce dangerous side effects affecting the quality of life of the patient. In this context, physical rehabilitation plays an important role as a complement to the work of conventional medications. The present work describes the hand rehabilitation device that can be used to improve the mobility of people with rheumatoid arthritis. This glove shaped device can move all five fingers, using the measurement of the action potential of other healthy muscles. The data collection is done through a muscle sensor which processes the signal and sends the order to the glove, allowing contraction or relaxation of the hand. The glove was designed in 3D using the Fusion 360 software. In this case, this device captures the movements of patterns generated in a muscle and reproduces them in the fingers of the hand to increase the level of movement and prevent muscle atrophy in patients with this disease.