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.

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.

What does the literature say about using electronic pillboxes for older adults? A systematic literature review.

Purpose: The purpose of this study is to answer two research questions: (1) What is the clinical evidence for the reported outcomes in studies on electronic pillboxes for older adults? and (2) What is the technology readiness level (TRL) of the electronic pillboxes used, or intended to be used, for older adults?Methods: The scholarly literature was systematically searched and analyzed. Articles were included if they reported results about electronic pillboxes that were used or intended to be used for older adults' medication.Results: Clinical studies used commercially well-established electronic pillboxes with a high TRL. New electronic pillboxes in development had a low TRL. The discovered outcome was mainly adherence to medication. The overall mean adherence to medication regimens for all the studies using an electronic pillbox was higher than the gold standard of a good adherence level cut-off point (mean adherence 88.8%>80%). However, we found a large variation in this variable (SD = 10.7). With regard to an older adult population's adherence to medication regimens, for the outcome variable of those who had undergone a kidney transplant, the clinical evidence that electronic pillboxes have a positive impact was strong (1b); for those with a chronic hepatitis C medical condition, the clinical evidence was medium (3), and for those with arterial hypertension and multiple chronic (diabetes and hypertension) medical conditions, the clinical evidence was weak (5).Conclusion: More research is needed in this area using designs that provide greater validity.Implications for RehabilitationElectronic pillboxes with multiple reminders such as the "voice of a friend" or relative, which implies that electronic pillboxes which adopt "a social role" are advisable.An unequal level of clinical evidence that electronic pillboxes have a positive impact on the adherence outcome variable was found.For new electronic pillboxes still in development that specifically take into account older adults' needs, the TRL is still low; as a result, they could not be tested in real settings.