Smartphone-Based Screening for Cardiovascular Diseases: A Trend?

Abstract Cardiovascular diseases are the leading cause of death in the world. People living in vulnerable and poor places such as slums, rural areas and remote locations have difficulty in accessing medical care and diagnostic tests. In addition, given the COVID-19 pandemic, we are witnessing an increase in the use of telemedicine and non-invasive tools for monitoring vital signs. These questions motivate us to write this point of view and to describe some of the main innovations used for non-invasive screening of heart diseases. Smartphones are widely used by the population and are perfect tools for screening cardiovascular diseases. They are equipped with camera, flashlight, microphone, processor, and internet connection, which allow optical, electrical, and acoustic analysis of cardiovascular phenomena. Thus, when using signal processing and artificial intelligence approaches, smartphones may have predictive power for cardiovascular diseases. Here we present different smartphone approaches to analyze signals obtained from various methods including photoplethysmography, phonocardiograph, and electrocardiography to estimate heart rate, blood pressure, oxygen saturation (SpO2), heart murmurs and electrical conduction. Our objective is to present innovations in non-invasive diagnostics using the smartphone and to reflect on these trending approaches. These could help to improve health access and the screening of cardiovascular diseases for millions of people, particularly those living in needy areas.

Remote and non-invasive monitoring of patients with COVID-19 by smartphone / Monitoramento remoto e não invasivo de pacientes com COVID-19 pelo smartphone

The pandemic caused by the new coronavirus (SARS-COV-2) has led to more than two million deaths in the world by March 2021. The worldwide call to reduce transmission is enormous. Recently, there has been a rapid growth of telemedicine and the use of mobile health (mHealth) in the context of the COVID-19 pandemic. Smartphone accessories such as a flashlight, camera, microphone, and microprocessor can measure different clinical parameters such as oxygen saturation, blood pressure, heart rate, breathing rate, fever, pulmonary auscultation, and even voice analysis. All these parameters are of great clinical importance when evaluating suspected patients of COVID-19 or monitoring infected patients admitted in various hospitals or in-home isolation. In remote medical care, the results of these parameters can be sent to a call center or a health unit for interpretation by a qualified health professional. Thus, the patient can receive orientations or be immediately referred for in-patient care. The application of machine learning and other artificial intelligence strategies assume a central role in signal processing and are gaining much space in the medical field. In this work, we present different approaches for evaluating clinical parameters that are valuable in the case of COVID-19 and we hope that soon all these parameters can be measured by a single smartphone application, facilitating remote clinical assessments.

A pandemia causada pelo novo coronavírus (SARS-COV-2) foi a responsável por mais de dois milhões de mortes no mundo até março de 2021. O apelo mundial para reduzir a transmissão é enorme. Recentemente, houve um rápido crescimento do uso de telemedicina e saúde móvel (mHealth) no contexto da pandemia causada pela doença COVID-19. Os acessórios dos smartphones, como lanterna, câmera, microfone, bem como o microprocessador podem analisar diferentes parâmetros clínicos, tais como, a saturação de oxigênio, pressão arterial, frequência cardíaca, frequência respiratória, febre, ausculta pulmonar e até mesmo análise da voz. Todos esses parâmetros são de grande importância clínica na avaliação de pacientes suspeitos de COVID-19 ou no monitoramento de pacientes infectados que estão no hospital ou em isolamento domiciliar. No atendimento médico remoto, os resultados desses parâmetros podem ser enviados a uma central de atendimento ou à unidade de saúde para que o resultado seja interpretado por profissional de saúde qualificado. Assim, o paciente pode receber orientações ou ser encaminhado imediatamente para internação. A aplicação de aprendizado de máquina e outras estratégias de inteligência artificial assumem um papel central no processamento de sinais e vêm ganhando muito espaço na área médica. Neste trabalho, apresentamos diferentes abordagens para avaliação de parâmetros clínicos valiosos no caso do COVID-19 e esperamos que em breve todos esses parâmetros possam ser mensurados em um único aplicativo para smartphone, facilitando avaliações clínicas à distância.

Fragilidade na formação dos profissionais de saúde quanto à Língua Brasileira de Sinais: reflexo na atenção à saúde dos surdos / Fragility in the training of health professionals regarding the Brazilian Sign Language: a reflection on the health care of the deaf

RESUMO Objetivos Identificar como é a formação de profissionais da saúde quanto à Língua Brasileira de Sinais (Libras). Métodos Trata-se de estudo descritivo e transversal, desenvolvido com dados secundários, coletados no banco de dados eletrônico do Ministério da Educação. Foram analisados a grade curricular e o projeto pedagógico de todos os cursos de graduação na área da saúde em Instituições de Ensino Superior (IES) brasileiras, procurando-se identificar e caracterizar a disciplina de Libras. Resultados Foram localizados 5317 cursos e, destes, 2293 (43,1%) ofereciam disciplina de Libras, sendo 16,7% como disciplina obrigatória e a maioria (83,3%) como optativa. Em relação ao período ofertado, não houve um padrão, variando desde o primeiro até o décimo. Quanto à carga horária destinada à disciplina, dentre os 2077 cursos que disponibilizavam essa informação, 11,1% ofertavam a disciplina com carga horária de até 20 horas, 49,4% com carga horária entre 21 e 40 horas, 29,9% entre 41 e 60 horas, 9,1% entre 61 e 80 horas. Apenas 0,5% dos cursos destinavam mais que 80 horas para o ensino de Libras. Em média, os cursos de graduação em IES públicas (N=217) dedicavam 53,1 horas ao ensino de Libras, enquanto os cursos de IES privadas (N=1860) dedicavam 45,8 horas. Conclusão Há evidências de fragilidade na formação dos profissionais de saúde quanto ao ensino da Libras, o que reflete diretamente no atendimento integral dos surdos.

ABSTRACT Purpose To identify how Brazilian Sign Language (Libras) training is being conducted in undergraduate health care courses at Higher Education Institutions. Methods This is a descriptive and cross-sectional study, developed using secondary data taken from the Ministry of Education electronic database. The curriculum and pedagogical design of all undergraduate health care courses at Brazilian Higher Education Institutions (HEIs) were analyzed, aiming to identify and characterize the Libras discipline. Results 5317 courses were found and, from these, 2293 (43.1%) offered Libras, 16.7% as mandatory and the majority (83.3%) as optional. Regarding the period offered, there was no pattern, ranging from the first to the tenth. Regarding the workload for the discipline, among the 2077 courses that provided this information, 11.1% offered the discipline with a workload of up to 20 hours, 49.4% with a workload between 21 and 40 hours, 29.9% between 41 and 60 hours, and 9.1% between 61 and 80 hours. Only 0.5% of the courses devoted more than 80 hours to teaching Libras. On average, undergraduate courses in public HEIs (N = 217) devoted 53.1 hours to teaching Libras, while private HEI courses (N = 1860) dedicated 45.8 hours. Conclusion There is evidence of weakness in training programs for health professionals regarding teaching Libras, which directly reflects in comprehensive care for the deaf.

Teratogens: a public health issue - a Brazilian overview

Abstract Congenital anomalies are already the second cause of infant mortality in Brazil, as in many other middle-income countries in Latin America. Birth defects are a result of both genetic and environmental factors, but a multifactorial etiology has been more frequently observed. Here, we address the environmental causes of birth defects - or teratogens - as a public health issue and present their mechanisms of action, categories and their respective maternal-fetal deleterious effects. We also present a survey from 2008 to 2013 of Brazilian cases involving congenital anomalies (annual average of 20,205), fetal deaths (annual average of 1,530), infant hospitalizations (annual average of 82,452), number of deaths of hospitalized infants (annual average of 2,175), and the average cost of hospitalizations (annual cost of $7,758). Moreover, we report on Brazilian cases of teratogenesis due to the recent Zika virus infection, and to the use of misoprostol, thalidomide, alcohol and illicit drugs. Special attention has been given to the Zika virus infection, now proven to be responsible for the microcephaly outbreak in Brazil, with 8,039 cases under investigation (from October 2015 to June 2016). From those cases, 1,616 were confirmed and 324 deaths occurred due to microcephaly complications or alterations on the central nervous system. Congenital anomalies impact life quality and raise costs in specialized care, justifying the classification of teratogens as a public health issue.

Paper-Based Microfluidics Immunoassay for Detection of Canine Distemper Virus

ABSTRACT Paper-based devices present low-cost and are versatile, making them very attractive for clinical analysis. To manufacture those devices wax patterns are printed on paper surface and upon heating the wax permeates through the entire thickness of the paper, creating hydrophobic barriers that delimit test areas. Antibodies produced in rabbits against canine distemper virus (CDV) were physically adsorbed on the surface of gold nanoparticles (AuNPs) and incubated with CDV viral antigens, forming the immunocomplex. Anti-CDV antibodies were immobilized into the microchannels by physical adsorption, forming the test region. The test solution containing conjugated AuNPs was applied at the bottom of the microchannel and it was eluted with a phosphate buffer solution 0.01 M pH 7.4. When the solution containing the AuNPs reached the test zone the recognition of antigens contained on the immunocomplex occurred with the consequent development of a red line, which represents a positive outcome for the test. This method demonstrated the success of physical immobilization of antibodies on AuNPs and the physical immobilization of antibodies on cellulose's surface. This colorimetric assay brings simplicity and versatility to clinical analyses, presenting potential for CDV diagnosis.