Mexico has become one of the most highly affected countries by coronavirus disease 2019 (COVID-19) pandemic in Latin America. Therefore, efficient vaccination programs are needed to address COVID-19 pandemic. Although recent advances around world have made it possible develop vaccines record time, there been increasing fear and misinformation vaccines. Hence, understanding vaccine hesitancy is imperative for modeling successful strategies. In this study, we analyzed attitude perceptions...

The work carried out in this paper consists of the classification physiological signal generated by eye movement called Electrooculography (EOG). human performs simultaneous movements, when focusing on an object, generating a potential change origin between retinal epithelium and cornea modeling eyeball as dipole with positive negative hemisphere. Supervised learning algorithms were implemented to classify five movements; left, right, down, up blink. Wavelet Transform was used obtain...

To mitigate the COVID-19 infection, many world governments endorsed cessation of non-essential activities, such as school attendance, forcing a shift teaching model to virtual classroom. From this shift, several changes in paradigm derived, addition pandemic, which could have an impact academic professional's mental health. In present work we show application modified version adapted stress scales (ACSS) also included anxiety and preparedness, resilience for professionals Mexico. These were...

Coronavirus disease (COVID-19) represents one of the greatest challenges to public health in modern history. As continues spread globally, medical and allied healthcare professionals have become most affected sectors. Stress anxiety are indirect effects COVID-19 pandemic. Therefore, it is paramount understand categorize their perceived levels stress, as can be a detonating factor leading mental illness. Here, we propose computer-based method better stress workers facing at beginning We based...

The amount of data generated in the laboratory increases constantly, where a common problem needed to be addressed during preparation stage is related noise. Savitzky-Golay method has been established as smoothing technique, process based on two parameters: polynomial order and window size, which are commonly empirically determined. This work shows how application Nyquist theorem allows calculate size parameter method, bio-optical signals. Like case mid-IR glucose absorption cervical spine...

Wireless sensors networks (WSN) are getting a special place in the development of e-Health application, due to its characteristics such as: not intrusive design, low energy consumption, price and flexibility integrate into health care environments. However, use WSN these kind environments must consider those security privacy mechanisms required by applicable personal data protection legislations provide end-to-end guarantees patient's information. Applications research projects taking offer...

For the last decade, several studies on mid-IR spectroscopy for blood glucose quantification have not considered compounds involved in regulation mechanism, which insulin plays an important role. This work shows how overlaps same region is quantified. optical absorption interference factor to be this type of studies, scope whole modeling applications and possible use computer based metrics.

COVID-19 vaccination programs continue in child populations. Thus, parents' attitude towards of their children is crucial for these strategies to succeed. The present study derives from the application an online Vaccine Acceptance & Hesitancy Questionnaire (COV-AHQ) which we measure parent's hesitancy children's (section 4 COV-AHQ) and other significant factors. A logistic regression analysis with backward stepwise method was used quantify associations between factors hesitancy. According...

We propose the Taguchi method, diversity, and average number of evaluations a solution to support an explanation regarding decisions made by computational intelligence algorithm. These metrics uncovering interactions in cooperative team algorithms solve base station deactivation problem.

The dataset presented examines the levels of stress persisting in healthcare professionals Northeast region Mexico. Using an online platform to obtain data, a survey was developed and distributed through electronic means during 6-week period covering July August 2020, considered one periods with highest reported COVID cases Our looked at six major developing areas: danger, fear contamination, social economic consequences, xenophobia, compulsive checking reassurance seeking, traumatic stress;...

The rapid development if society has generated an increasing number of human activities that have gradually modified the marine environement. Wirless sensor networks been considered as potentially promising alternative for monitoring environment. Usually topology system is formed by a group fixed buoys gather data, and coordinator node responsible to sent data processing center. This does not demand routing protocol. However some situations behavior currents demands mobility consequence more...

The objective of this work is to perform image quality assessment (IQA) eye fundus images in the context digital fundoscopy with topological data analysis (TDA) and machine learning methods. Eye health remains inaccessible for a large amount global population. Digital tools that automize exam could be used address issue. IQA fundamental step clinical applications; it one first steps preprocessing stages computer-aided diagnosis (CAD) systems using images. Images from EyePACS dataset were...

The development of devices to interconnect different technologies paves the way achieve interoperability. Although E-health telemonitoring services have additional challenges overcome, one them is semantic aim this work shed light on that issue by proposing design a digital device handling data sensors and sending it cloud. uses connectivity standards IEEE802.15.4 IEEE802.15.1 perception sub-layer IEEE802.11 IEEE802.3 for Besides, will complaint IEEE1451.0, IEEE1451.1, IEEE1451.5 Health...

Classification method is a formula, logical description generalizing characteristics of objects related area. Nowadays, billions smart are immersed in the environment, sensing, interacting, and cooperating with each other to enable efficient services. When we think about IoT, classification major challenge particularly if our technology international level applicable. So, this limitation needs clear deep analysis existing matrixes gives some future directions depending on different...

Wireless Sensor Networks (WSNs) have been proposed for monitoring vital signs of patients at home. This scenario requires inter-cell mobility; however, WSNs are not designed to support this characteristic. In paper we propose a cross-layer protocol manage the handoff, called WSN-HaDaS (Handoff aware Data Sending), which operates in transport layer and medium access control (MAC) sub-layer based on an interaction between layers (transport MAC). interacts with sending data mechanism (like TCP...

In this paper we present a Health Emergency Event Notification system, which is intended to support the monitorization of elderly health care; focusing on seamless service mobility paradigm. The system composed by five features: i) vital signs recording, ii) emergency contact phone numbers register (for SMS – Short Message Service and calls), iii) profile creation, iv) messages notification management, v) local mobile storage service. Our architecture was designed drive information through...

Patients’ medical records have been originally based on paper and since 1865 the field recognized need to improve means for storing retrieving disperse information. Electronic Health Records (EHR) systems face similar problems, with interoperability being one of them, it defined by IEEE standard glossary software engineering terminology as: ability among information exchange data. Mainly, two perspectives emerge: a) syntactic, which refers an system import validate grammar, as well a set...

This paper deals with the makespan-minimization job shop scheduling problem (JSSP) no-wait precedence constraints. The JSSP is an extension of well-known subject to constraint that once initiated, operations for any have be processed immediately, one after another, until job's completion. A genetic algorithm a new decoding strategy find good quality solutions proposed. proposed named as Reverse Decoding (RD) simple variant standard job-permutation-based representation this problem. We show,...

In this work, an experimental study to evaluate the parameter vector utility brought by automated tuning tool, so called Hybrid Automatized Tuning procedure (HATp) is given.The work uses inertia weight and number of iterations from algorithm PSO; it compares those parameters analogy empirical studies.The task PSO select users exploit concurrently a channel as long they achieve Signal-to-Interference-Ratio (SINR) constraints maximize throughput; however, increases interference also arises;...

Abstract Stress and anxiety have shown to be indirect effects of the COVID-19 pandemic, therefore managing stress becomes essential. One most affected populations by pandemic are healthcare professionals. Thus, it is paramount understand categorize their perceived levels stress, as can a detonating factor leading mental illness. In our study, we used machine learning prediction model help measure stress; C5.0 decision tree algorithm was analyze classify datasets obtained from professionals...