Monitoring System for Operating Variables in Incubators in the Neonatology Service of a Highly Complex Hospital through the Internet of Things (IoT).

BACKGROUND: Around 15 million premature babies are born annually, requiring specialized care. Incubators are vital for maintaining their body temperature, which is crucial for their well-being. Ensuring optimal conditions in incubators, including constant temperature, oxygen control, and comfort, is essential for improving the care and survival rates of these infants. METHODS: To address this, an IoT-based monitoring system was developed in a hospital setting. The system comprised hardware components such as sensors and a microcontroller, along with software components including a database and a web application. The microcontroller collected data from the sensors, which was then transmitted to a broker via WiFi using the MQTT protocol. The broker validated and stored the data in the database, while the web application provided real-time access, alerts, and event recording. RESULTS: Two certified devices were created, employing high quality components. The system was successfully implemented and tested in both the biomedical engineering laboratory and the neonatology service of the hospital. The results of the pilot test supported the concept of IoT-based technology, demonstrating satisfactory responses in temperature, humidity, and sound variables within the incubators. CONCLUSIONS: The monitoring system facilitated efficient record traceability, allowing access to data over various timeframes. It also captured event records (alerts) related to variable problems, providing information on duration, date, hour, and minutes. Overall, the system offered valuable insights and enhanced monitoring capabilities for neonatal care.

How can technology assist occupational voice users?

SUMMARY: The voice is an important tool for people who use it daily in their occupations. However, what technological options are available to such individuals to allow them to monitor or take care of their voices? OBJECTIVE: The purpose of this study is to answer two research questions: (1) What technologies exist to monitor or take care of the voice in occupational voice users? (2) What is the technology readiness level (TRL) of the technologies used to monitor or take care of the voice in occupational voice users? DATA SOURCES: Embase, IEEE, Medline, Proquest, PubMed, Scopus, and Web of Science. METHODS: A systematic literature review was conducted. Articles that reported results regarding technologies (hardware, software, or mobile apps) that were used to monitor or take care of the voice in occupational voice users were included. RESULTS: After reviewing 4581 abstracts, 10 full text studies were included in the literature review. The technologies found include 30% hardware, 30% hardware plus software, and 50% mobile apps, with an overall TRL mean of 5.3 (SD = 2.3). CONCLUSION: Further research is necessary for higher validity in the studies and to increase the readiness in the development of current technologies to offer more options for this population.Implications for RehabilitationThe evidence for the impact of the use of the technologies for occupational voice users is still lowThere is emerging evidence that mobile apps and artificial intelligence algorithms can be used to investigate vocal disorders or potential risks in occupational voice usersMore research is required to increase the readiness developmental stage of current technologies for occupational voice users.

Proposal of Design and Innovation in the Creation of the Internet of Medical Things Based on the CDIO Model through the Methodology of Problem-Based Learning.

The educational framework-Conceive, Design, Implement, and Operate-is part of an international proposal to improve education in the field of engineering, emphasizing how to teach engineering comprehensively, which allows the standardization of skills in professionals as a model for teaching engineering. Moreover, problem-based learning allows students to experiment with challenging situations through cases that simulate natural contexts with their profession. The integration of these two education strategies applied to the Internet of Things (IoT) Education for Industry 4.0 has promoted the generation of teaching challenges. Our education strategy proposes the synergy between laboratory guides and the classroom with the following actions: the content of the topic is presented, followed by the presentation of an issue focused into a realistic context, with practical exercises integrating software and hardware for the deployment of the solution to be reported as a final project. Moreover, undergraduate students in the biomedical engineering area acquired new knowledge about IoT, but at the same time, they may develop skills in the field of programming and structuring different architectures to solve real-world problems. Finally, traditional models of education require new teaching initiatives in the field of biomedical engineering concerning the current challenges and needs of the labor market.