The educational trend toward personalized learning requires the teacher to monitor the learning process continuously. This article presents mobile computing to administer a battery of cognitive tests based on a standard neuropsychological assessment of attention and concentration derived from Neuropsi ©. Currently, specialists perform this test by observing, measuring time, and taking notes of the process to obtain the final scores. Considering the use of this test as an assessment of students' cognitive abilities in a class, the time required for application and evaluation is a challenge itself. As for overcoming this difficulty, the process has been automated through the development of software. The goal is to provide the test to several users simultaneously on their own mobile devices. Then, it is evaluated both attention and concentration on the subject during the solution of the exercises. Variants of the exercises were provided to extent the Neuropsi options. All the collected information is stored on a server. Moreover, the system provides individual and group profiles to the evaluator, such as a teacher or instructor. Likewise, the provided compendium allows the specialist to identify changes in attention and concentration performance and supports their additional recommendations, as well as to go in deep in the research of the cognitive process providing an initial condition evaluation. This work proved that the concept raised by software specialists, designers, and psychologists is feasible into an interdisciplinary team.

Pain is a problem that has a significant effect on the quality of life, both personal and social, and in the knowledge of the authors. To date, there is no practical device or method that allows us to generate a quantitative pain index. In recent years, studies related to pain and its measurement have been reported, which have used brain activity as a biological marker of pain based on various methodologies. Therefore, the purpose of this survey article is to concentrate the tools and methods that use brain activity to study two types of physical pain: 1) chronic, as a result of a clinical condition; and, 2) acute physical induced by a painful stimulus. The survey analyzes the elements involved in evaluating these types of pain, considering the number of subjects, the EEG setting, the stimulus applied, the pain perception test used, the software for analysis and processing, and additional resources. The results present a systematic classification of the information; it contains the techniques and technologies that have been used for the study of pain. Finally, the article concludes identifying opportunity areas as quantitative pain measurement tools based on brain activity analysis to understand, adapt, or monitor the treatment responses.INDEX TERMS EEG pain, pain measurement, brain activity, chronic pain, acute pain.