Aplicação IOT na detecção de ruídos em unidades de terapia intensiva neonatal

• Autor(a) principal: Moraes, Laryssa Moreira
• Data de Publicação: 2023
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UFU
• Texto Completo: https://repositorio.ufu.br/handle/123456789/40920
• topic: UTINEO; NICU; IoT; Unidade de Terapia Intensiva Neonatal; Neonatal Intensive Care Unit; MQTT; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO

The physiological, psychological, and neurological development of a premature newborn is profoundly influenced by the environment in which they are placed. When a baby is born prematurely and requires specific healthcare in a Neonatal Intensive Care Unit (NICU), the importance of the environment becomes even more significant. Among the various factors affecting the development of these infants, the sound noises present in the environment, as evidenced by studies, can have both positive and negative impacts on their development. When sound noise levels, such as those generated by machines and medical equipment, exceed a certain threshold, harmful effects become evident. These excessive sound noises can affect the physiological parameters of the premature baby, leading to unfavorable consequences that may impact their development. Therefore, constant monitoring of sound noise levels in a NICU is essential to ensure that the environment is conducive to the well-being and healthy development of these patients. In this context, this study aimed to develop a prototype capable of monitoring sound noise levels in the NICU and notifying the user whenever these levels exceeded the considered safe limits. To achieve this goal, the MQTT protocol was employed, enabling the implementation of the Internet of Things (IoT) in the project, allowing real-time availability of noise monitoring data. Thus, the project aims to create a tool to provide a controlled and safe environment for premature babies, where IoT technology plays a fundamental role in the monitoring and management of noise levels, thereby contributing to the healthy development of these newborns in the NICU.