Estratégias de intervenção utilizadas por enfermeiros da ESF do município de Natal/RN no controle do câncer do colo de útero

Cancer of the cervix (cervical cancer) is the second most prevalent cancer among Brazilian women. The high rates of cervical cancer in Brazil justify the implementation of effective strategies to control this, which include actions to promote health, primary prevention, early detection, screening, treatment and palliative care. Despite the existence of the National Programme for Control of the CCU there was no reduction in the incidence and mortality of this disease in Brazil. The Family Health Strategy (FHS) has the potential to facilitate such control and, in this context, one should consider that nurses play a central role. The study aimed to know the general intervention strategies used by nurses FHS of Natal / RN in CCU control, and how specific: analyzing the knowledge of these nurses on the CCU, the actions developed in the ESF for the control of CCU and identify the difficulties faced by them to perform it. This is a descriptive exploratory quantitative developed through a structured interview guide with 106 nurses who have experience in controlling the CCU in FHS teams of Natal / RN. Data analysis was performed using descriptive statistic s. The results pointed to actions taken in the FHS to control the CCU, collection of cervical cancer screening, health education activities, nursing consultation, referral of suspected cases for medical monitoring and active women with abnormal test result . The actions that were not mentioned by the nurses included: forming groups of prevention and health promotion; expand coverage of exams and office hours of consultations, establishment of alternatives to end the pent-up demand in the health units, participation in treatment or rehabilitation process users with the CCU; interventions for pain management, alliances and partnerships with schools, in dustry and the use of protocols. This study can be seen that the practice nurses partially shares to the CCU in Natal / RN. The participants of this study, when asked about the CCU, specifically for signs and symptoms of disease and risk factors in general showed important gaps. Difficulties such as lack of materials for collection of Pap smear; inadequate physical space in the Health Units; pent-up demand in the service, delay in arrival of the test results; obstacles in the actions of referral and counter-referral and cultural factors make the CCU control is compromised. It is believed in this research contributed to a reflection on the importance of the role of nurses in the development of the ESF control actions CCU, pointing out the factors that affect these. It is important to involve all nurses who comprise the ESF as knowledgeable of the risk factors, signs and symptoms, and existing tools for the early detection of cervical cancer in the pursuit of quality improvement actions to promote women`s health, contributing in planning future interventions that may reduce mortality from this disease in Natal / RN.

Autoestima e qualidade de vida de pessoas com úlcera venosa atendidas na atenção primária

Venous ulcers (VU) is a chronic injury of the lower extremities and because of its high incidence and recurrence implies long and complex treatments, damaging the quality of life (QOL) and self-esteem (SE) of the people. This study aimed to analyze the association between self-esteem with the quality of life of people with venous ulcers treated in primary care. Cross sectional analytical study with a quantitative approach conducted with 44 people met with VU at 13 primary care units 2 and Mixed units in Natal/RN. The study was approved by the Ethics Committee in Research of the Federal University of Rio Grande do Norte (UFRN), CAAE: 07556312.0.0000.5537. Held data collection from February to April 2014 and used three instruments: a structured form covering sociodemographic, health care and clinical variables, the Rosenberg Self-Esteem Scale and the SF-36. The collected data were entered into a database and processed on computerized software for descriptive and inferential analyzes. The results showed a predominance of people with UV females (65,9%), with more than 60 years (59,1%), married or in a stable relationship (52,3%), low education (86,4%) without occupation (68,2%) and less than one minimum wage income (81,8%). Regarding assistance characteristics was observed that most patients performed the dressing with appropriate material (72,7%), professional or trained caregiver (61,4%) did not use compression therapy (81,8%), treating the injury for more than 6 months (77,3%), lack of guidelines for the use of compression therapy, elevation of legs, and regular exercise (77,3%) and consulting the angiologist last year (52,3% ). Regarding clinical features of the lesion was found that most of the recurrent lesions are (77,3%), over one year of current lesion (52,3%) medium to large lesions (54,8%), without signs of infection (61,3%) and pain (79,5%). The mean SE of respondents was 9,3 (± 5,1). The relations between the SE and the sociodemographic variables, health care and clinics showed that individuals without a partner (a) (p = 0,01), who did not wear compression therapy (p = 0,04), with more 6 months of treatment (p = 0,01) and larger lesions (p = 0,01) had a lower SE. The mean domain and the dimensions of the SF-36 were lower emphasizing the functional capacity 36.5 (± 27,6) and the physical aspects of 15.3 (± 30,6). There were significant correlations between AE people with VU and the domains and dimensions of the SF-36: physical functioning (r = -0,432), general health (r = -0,415), vitality (r = -0,573), aspects social (r = -0,517), mental health (r = -0,612) and mental health dimensions (r = -0,612) and physical health (r = -0,473). Based on these results it is concluded by rejecting the null hypothesis and accept the alternative proposed in the study in which it was found that there is a negative correlation between the SE and the QOL of people with venous ulcers

Uma fundamentação matemática para processamento digital de sinais intervalares

This work deals with a mathematical fundament for digital signal processing under point view of interval mathematics. Intend treat the open problem of precision and repesention of data in digital systems, with a intertval version of signals representation. Signals processing is a rich and complex area, therefore, this work makes a cutting with focus in systems linear invariant in the time. A vast literature in the area exists, but, some concepts in interval mathematics need to be redefined or to be elaborated for the construction of a solid theory of interval signal processing. We will construct a basic fundaments for signal processing in the interval version, such as basic properties linearity, stability, causality, a version to intervalar of linear systems e its properties. They will be presented interval versions of the convolution and the Z-transform. Will be made analysis of convergences of systems using interval Z-transform , a essentially interval distance, interval complex numbers , application in a interval filter.

Arquitetura inteligente fuzzy para monitoramento de sinais vitais de pacientes: um estudo de caso em UTI

The area of the hospital automation has been the subject a lot of research, addressing relevant issues which can be automated, such as: management and control (electronic medical records, scheduling appointments, hospitalization, among others); communication (tracking patients, staff and materials), development of medical, hospital and laboratory equipment; monitoring (patients, staff and materials); and aid to medical diagnosis (according to each speciality). This thesis presents an architecture for a patient monitoring and alert systems. This architecture is based on intelligent systems techniques and is applied in hospital automation, specifically in the Intensive Care Unit (ICU) for the patient monitoring in hospital environment. The main goal of this architecture is to transform the multiparameter monitor data into useful information, through the knowledge of specialists and normal parameters of vital signs based on fuzzy logic that allows to extract information about the clinical condition of ICU patients and give a pre-diagnosis. Finally, alerts are dispatched to medical professionals in case any abnormality is found during monitoring. After the validation of the architecture, the fuzzy logic inferences were applied to the trainning and validation of an Artificial Neural Network for classification of the cases that were validated a priori with the fuzzy system

Uma fundamentação para sinais e sistemas intervalares

In this work we use Interval Mathematics to establish interval counterparts for the main tools used in digital signal processing. More specifically, the approach developed here is oriented to signals, systems, sampling, quantization, coding and Fourier transforms. A detailed study for some interval arithmetics which handle with complex numbers is provided; they are: complex interval arithmetic (or rectangular), circular complex arithmetic, and interval arithmetic for polar sectors. This lead us to investigate some properties that are relevant for the development of a theory of interval digital signal processing. It is shown that the sets IR and R(C) endowed with any correct arithmetic is not an algebraic field, meaning that those sets do not behave like real and complex numbers. An alternative to the notion of interval complex width is also provided and the Kulisch- Miranker order is used in order to write complex numbers in the interval form enabling operations on endpoints. The use of interval signals and systems is possible thanks to the representation of complex values into floating point systems. That is, if a number x 2 R is not representable in a floating point system F then it is mapped to an interval [x;x], such that x is the largest number in F which is smaller than x and x is the smallest one in F which is greater than x. This interval representation is the starting point for definitions like interval signals and systems which take real or complex values. It provides the extension for notions like: causality, stability, time invariance, homogeneity, additivity and linearity to interval systems. The process of quantization is extended to its interval counterpart. Thereafter the interval versions for: quantization levels, quantization error and encoded signal are provided. It is shown that the interval levels of quantization represent complex quantization levels and the classical quantization error ranges over the interval quantization error. An estimation for the interval quantization error and an interval version for Z-transform (and hence Fourier transform) is provided. Finally, the results of an Matlab implementation is given

Uma solução para geração automática de trilhas em língua brasileira de sinais em conteúdos multimídia

Deaf people have serious difficulties to access information. The support for sign languages is rarely addressed in Information and Communication Technologies (ICT). Furthermore, in scientific literature, there is a lack of works related to machine translation for sign languages in real-time and open-domain scenarios, such as TV. To minimize these problems, in this work, we propose a solution for automatic generation of Brazilian Sign Language (LIBRAS) video tracks into captioned digital multimedia contents. These tracks are generated from a real-time machine translation strategy, which performs the translation from a Brazilian Portuguese subtitle stream (e.g., a movie subtitle or a closed caption stream). Furthermore, the proposed solution is open-domain and has a set of mechanisms that exploit human computation to generate and maintain their linguistic constructions. Some implementations of the proposed solution were developed for digital TV, Web and Digital Cinema platforms, and a set of experiments with deaf users was developed to evaluate the main aspects of the solution. The results showed that the proposed solution is efficient and able to generate and embed LIBRAS tracks in real-time scenarios and is a practical and feasible alternative to reduce barriers of deaf to access information, especially when human interpreters are not available

Proposta de algoritmo para detecção de vazamentos em oleodutos utilizando análise freqüencial de sinais de pressão

Pipeline leak detection is a matter of great interest for companies who transport petroleum and its derivatives, in face of rising exigencies of environmental policies in industrialized and industrializing countries. However, existing technologies are not yet fully consolidated and many studies have been accomplished in order to achieve better levels of sensitivity and reliability for pipeline leak detection in a wide range of flowing conditions. In this sense, this study presents the results obtained from frequency spectrum analysis of pressure signals from pipelines in several flowing conditions like normal flowing, leakages, pump switching, etc. The results show that is possible to distinguish between the frequency spectra of those different flowing conditions, allowing recognition and announce of liquid pipeline leakages from pressure monitoring. Based upon these results, a pipeline leak detection algorithm employing frequency analysis of pressure signals is proposed, along with a methodology for its tuning and calibration. The proposed algorithm and its tuning methodology are evaluated with data obtained from real leakages accomplished in pipelines transferring crude oil and water, in order to evaluate its sensitivity, reliability and applicability to different flowing conditions

Contribuições para a análise de sinais neuronais e biomédicos

Following the new tendency of interdisciplinarity of modern science, a new field called neuroengineering has come to light in the last decades. After 2000, scientific journals and conferences all around the world have been created on this theme. The present work comprises three different subareas related to neuroengineering and electrical engineering: neural stimulation; theoretical and computational neuroscience; and neuronal signal processing; as well as biomedical engineering. The research can be divided in three parts: (i) A new method of neuronal photostimulation was developed based on the use of caged compounds. Using the inhibitory neurotransmitter GABA caged by a ruthenium complex it was possible to block neuronal population activity using a laser pulse. The obtained results were evaluated by Wavelet analysis and tested by non-parametric statistics. (ii) A mathematical method was created to identify neuronal assemblies. Neuronal assemblies were proposed as the basis of learning by Donald Hebb remain the most accepted theory for neuronal representation of external stimuli. Using the Marcenko-Pastur law of eigenvalue distribution it was possible to detect neuronal assemblies and to compute their activity with high temporal resolution. The application of the method in real electrophysiological data revealed that neurons from the neocortex and hippocampus can be part of the same assembly, and that neurons can participate in multiple assemblies. (iii) A new method of automatic classification of heart beats was developed, which does not rely on a data base for training and is not specialized in specific pathologies. The method is based on Wavelet decomposition and normality measures of random variables. Throughout, the results presented in the three fields of knowledge represent qualification in neural and biomedical engineering

Uma arquitetura para detecção online de transientes em sinais de eletrocardiograma sobre o protocolo IEEE 802.3 com PM-AH

The occurrence of transients in electrocardiogram (ECG) signals indicates an electrical phenomenon outside the heart. Thus, the identification of transients has been the most-used methodology in medical analysis since the invention of the electrocardiograph (device responsible for benchmarking of electrocardiogram signals). There are few papers related to this subject, which compels the creation of an architecture to do the pre-processing of this signal in order to identify transients. This paper proposes a method based on the signal energy of the Hilbert transform of electrocardiogram, being an alternative to methods based on morphology of the signal. This information will determine the creation of frames of the MP-HA protocol responsible for transmitting the ECG signals through an IEEE 802.3 network to a computing device. That, in turn, may perform a process to automatically sort the signal, or to present it to a doctor so that he can do the sorting manually

Sistema inteligente para determinação das direções de chegada de múltiplos sinais em arranjos de antenas

This dissertation presents a new proposal for the Direction of Arrival (DOA) detection problem for more than one signal inciding simultaneously on an antennas array with linear or planar geometry by using intelligent algorithms. The DOA estimator is developed by using techniques of Conventional Beam-forming (CBF), Blind Source Separation (BSS), and the neural estimator MRBF (Modular Structure of Radial Basis Functions). The developed MRBF estimator has its capacity extended due to the interaction with the BSS technique. The BSS makes an estimation of the steering vectors of the multiple plane waves that reach the array in the same frequency, that means, obtains to separate mixed signals without information a priori. The technique developed in this work makes possible to identify the multiple sources directions and to identify and to exclude interference sources

Um sistema inteligente de classificação de sinais de EEG para Interface Cérebro-Computador

The Brain-Computer Interfaces (BCI) have as main purpose to establish a communication path with the central nervous system (CNS) independently from the standard pathway (nervous, muscles), aiming to control a device. The main objective of the current research is to develop an off-line BCI that separates the different EEG patterns resulting from strictly mental tasks performed by an experimental subject, comparing the effectiveness of different signal-preprocessing approaches. We also tested different classification approaches: all versus all, one versus one and a hierarchic classification approach. No preprocessing techniques were found able to improve the system performance. Furthermore, the hierarchic approach proved to be capable to produce results above the expected by literature

Trocando Olhares: o desejo, o amor, a angústia e a dor na poesia de Florbela Espanca

In this work, Florbela Espanca poetry is analyzed. The objective is to prove that the loving thematic in her poetry tissues a connection among wish, love and sorrow. The psychoanalitic boarding is the basis to elucidate this connection,which begans with the sight, since mythology, passing by the portuguese literature begining periods and repeating itself in Florbela contemporanian poets. If Florbela poetry corroborates the portuguese literature tradiction, otherwise, it exposes the subject human being face, being a wishful creature

Abordagem cognitiva da construção deverbal x-dor: contribuições para o ensino do português

This work analyzes deverbal nominalizations with the sufix dor in Brazilian Portuguese, under the perspective of Cognitive Linguistics, more specifically, the Construction Grammar. The aim is to determine the general features of interpretation that characterize this deverbal construction and its use in formal writing. Based on the cognitive assumption that grammatical structure is motivated, explained, and determined by the structure of cognitive patterns, created from our experience in the world, and by the communicative function of language, the dor deverbal is treated as a polysemic grammatical construction. In the composition of V+dor, the relation rootsuffix is focused, through a characterization of the syntactic-semantic nature of the verb and the values of the suffix. Among the different values conventionally related to the XDOR construction, the agentive is considered as the prototypical sense. The relation between the other values and the prototype is explained by cognitive abilities and discourse motivations. The deverbal construction X-DOR is also interpreted as a valency noun that, like an action nominal, retains the argument structure of the deriving predicate. It is also intended to demonstrate the textual function of this deverbal construction, as a device of information condensing and anaphoric recovery. The data were taken from Veja magazine and the approach is qualitative (explicative), with quantitative support

Medidas e análise estatística em sinais bioelétricos sobre pontos de acupuntura

In the 20th century, the acupuncture has spread on occident as a complementary practice of heath care. This fact has motivated the international scientific community to invest in research that seek to understand why acupuncture works. In this work we compare statistically volt age fluctuation of bioelectric signals caught on the skin at an acupuncture point (IG 4) another nearby on acupuncture point. The acquisition of these signals was performed utilizing an electronic interface with a computer, which was based on an instrumentation amplifier designed with adequate specifications to this end. On the collected signals from a sample of 30 volunteers we have calculated major statistics and submitted them to pairing t-test with significance leveI a = O, 05. We have estimated to bioelectric signals the following parameters: standard deviation, asymmetry and curtose. Moreover, we have calculated the self-correlation function matched by on exponential curve we have observed that the signal decays more rapidly from a non-acupoint then from an acupoint. This fact is an indicative of the existence of information in the acupoint

Representações espectrais de sistemas complexos: aplicações à síntese de superfícies brownianas fracionárias anisotrópicas, filtragem de sinais e identificação de correlações

In this thesis, we study the application of spectral representations to the solution of problems in seismic exploration, the synthesis of fractal surfaces and the identification of correlations between one-dimensional signals. We apply a new approach, called Wavelet Coherency, to the study of stratigraphic correlation in well log signals, as an attempt to identify layers from the same geological formation, showing that the representation in wavelet space, with introduction of scale domain, can facilitate the process of comparing patterns in geophysical signals. We have introduced a new model for the generation of anisotropic fractional brownian surfaces based on curvelet transform, a new multiscale tool which can be seen as a generalization of the wavelet transform to include the direction component in multidimensional spaces. We have tested our model with a modified version of the Directional Average Method (DAM) to evaluate the anisotropy of fractional brownian surfaces. We also used the directional behavior of the curvelets to attack an important problem in seismic exploration: the atenuation of the ground roll, present in seismograms as a result of surface Rayleigh waves. The techniques employed are effective, leading to sparse representation of the signals, and, consequently, to good resolutions