This research aimed to evaluate the knowledge and involvement of the public high school students (15-20 years) from the city of Mãe D'Água, Paraíba, related to medicinal plants and to promote the construction of knowledge in this area through a teaching practice. The study had three distinct moments: questionnaire application consisting of 9 affirmations structured according to the Likert scale model and 6 questions; Practical didactic experience with the students and; Reapplication of the questionnaire. The students had little knowledge about ethnobotany, medicinal plants and their use. However, after the didactic experience, a significant increase of this knowledge was observed, such as correctly conceptualizing Ethnobotany and what are medicinal plants. Knowledge about medicinal plants was mainly acquired from grandparents. The leaves are the part they most use for medicinal purposes. Before the practice, 24.5% believed that medicinal plants did not cause health damage, 67.3% considered their effects to be moderate. After the didactic practice, these percentages changed to 8.2% and 51%, respectively. Didactic practice was effective in mediating and improving this knowledge. The students, before and after didactic practice, considered important the study of medicinal plants in the discipline of Biology to inform about its different aspects, such as: ecological, botanical (morphological and taxonomic). There is a strong need for the inclusion of teaching on medicinal plants in the school curriculum, so that there is the construction of knowledge and promotion of the valuation and use of these plants present in the community in which the students live.
Resumo: O sinal eletromiográfico permite a análise da atividade elétrica da contração muscular, possuindo inúmeras aplicações na área da medicina, sendo uma delas sua utilização como mecanismo de controle de próteses mioelétricas. Atualmente, as próteses possuem uma participação importantíssima no tratamento de reabilitação de pacientes amputados, pois, não há mais a preocupação de imitar e sim de recuperar a função do membro perdido. Tendo isso em vista, este trabalho relata a aplicação de um sistema inteligente híbrido (SIH), utilizando Redes Neurais Artificiais (RNAs) e Algoritmos Genéticos (AG) para reconhecimento de padrões do movimento "fechar mão", com variações na orientação do membro e intensidade de força do movimento, a partir de sinais mioelétricos. Palavras-chave: Eletromiografia, Redes Neurais Artificiais, Algoritmos Genéticos, Sistemas Inteligentes Híbridos.
Abstract: The electromyographic signal allows the electrical activity analysis of muscular contractions, which has a large application in medical areas. An application of these signals is using as a control mechanism for the myoelectric prostheses. Nowadays, prostheses have a very important participation in the
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