Arterial Blood Pressure (ABP) and photoplethysmography (PPG) are both useful techniques to monitor cardiovascular status. Though ABP monitoring is more widely employed, this procedure of signal acquisition whether done invasively or non-invasively may cause inconvenience and discomfort to the patients. PPG, however, is simple, noninvasive, and can be used for continuous measurement. This paper focuses on analyzing the similarities in time and frequency domains between ABP and PPG signals for normotensive, prehypertensive and hypertensive subjects and the feasibility of the classification of subjects considering the results of the analysis performed. From a database with 120 records of ABP and PPG, each 120 s in length, the records where separated into epochs taking into account 10 heartbeats, and the following statistical measures were performed: Correlation (r), Coherence (COH), Partial Coherence (pCOH), Partial Directed Coherence (PDC), Directed Transfer Function (DTF), Full Frequency Directed Transfer Function (ffDTF) and Direct Directed Transfer Function (dDTF). The correlation coefficient was $r>0.9$ on average for all groups, indicating a strong morphology similarity. For COH and pCOH, coherence (linear correlation in frequency domain) was found with significance (p < 0.01) in differentiating between normotensive and hypertensive subjects using PPG signals. For the dataset at hand, only two synchrony measures are able to convincingly distinguish hypertensive subjects from normotensive control subjects, i.e., ffDTF and dDTF. From PDC, DTF, ffDTF, and dDTF, a consistent, a strong significant causality from ABP→PPG was found. When all synchrony measures were combined, an $87.5\%$ accuracy was achieved to detect hypertension using a Neural Network classifier, suggesting that PPG holds most informative features that exist in ABP.

The rise of industry 4.0 (I4.0) technologies increases with the passing of days, as well as their permeability in areas of other kinds, such as education. Currently the term coined for this is Education 4.0 (E4.0) which can be seen as a paradigm and can be conceived as an educational approach that uses the technological axes of I4.0 to optimize the teaching-learning process. One of the technologies that have been implemented the most in E4.0 is augmented reality (AR). However, this technology generally requires a high degree of expertise, which is why this paper proposes a methodology for the creation of applications (app) with AR that can be used as teaching resources in different subjects and educational programs of an affordable and intuitive way. Which is ad hoc to the objective pursued, allowing the creation of apps with AR where the use goes hand in hand and the creativity of the user who will insert it in the pedagogical process corresponds to him and allows students to enter the E4.0.

For centuries, humans have attempted to improve their living conditions, seeking to facilitate their daily tasks and in the industry, seeking to improve production processes, in order to be more competitive and generate greater wealth through their work, trying to avoid work risks and accidents, improve product quality and production times, as well as downtime. The design proposed for this work is that of a roller conveyor by gravity, controlled and monitored by PLC, sensors, dosers, and data matrix cameras, in order to have internal control of the manufacturing process of the Carrier piece. The automation of this conveyor line will reduce transport times between each work operation, eliminating unnecessary movements and increasing mobility in each work operation. This will help increase production, in addition to reducing mishandling of the piece caused by the wrong manipulation of the operator.