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Authors = Gildário Lima

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11 pages, 564 KiB  
Article
A New Model of Air–Oxygen Blender for Mechanical Ventilators Using Dynamic Pressure Sensors
by Gabryel F. Soares, Gilberto Fernandes, Otacílio M. Almeida, Gildario D. Lima and Joel J. P. C. Rodrigues
Sensors 2024, 24(5), 1481; https://doi.org/10.3390/s24051481 - 24 Feb 2024
Cited by 1 | Viewed by 2294
Abstract
Respiratory diseases are among the leading causes of death globally, with the COVID-19 pandemic serving as a prominent example. Issues such as infections affect a large population and, depending on the mode of transmission, can rapidly spread worldwide, impacting thousands of individuals. These [...] Read more.
Respiratory diseases are among the leading causes of death globally, with the COVID-19 pandemic serving as a prominent example. Issues such as infections affect a large population and, depending on the mode of transmission, can rapidly spread worldwide, impacting thousands of individuals. These diseases manifest in mild and severe forms, with severely affected patients requiring ventilatory support. The air–oxygen blender is a critical component of mechanical ventilators, responsible for mixing air and oxygen in precise proportions to ensure a constant supply. The most commonly used version of this equipment is the analog model, which faces several challenges. These include a lack of precision in adjustments and the inspiratory fraction of oxygen, as well as gas wastage from cylinders as pressure decreases. The research proposes a blender model utilizing only dynamic pressure sensors to calculate oxygen saturation, based on Bernoulli’s equation. The model underwent validation through simulation, revealing a linear relationship between pressures and oxygen saturation up to a mixture outlet pressure of 500 cmH2O. Beyond this value, the relationship begins to exhibit non-linearities. However, these non-linearities can be mitigated through a calibration algorithm that adjusts the mathematical model. This research represents a relevant advancement in the field, addressing the scarcity of work focused on this essential equipment crucial for saving lives. Full article
(This article belongs to the Special Issue Feature Papers in the Internet of Things Section 2023)
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30 pages, 1432 KiB  
Review
IoT-Based Wearable and Smart Health Device Solutions for Capnography: Analysis and Perspectives
by Davisson F. T. Morais, Gilberto Fernandes, Gildário D. Lima and Joel J. P. C. Rodrigues
Electronics 2023, 12(5), 1169; https://doi.org/10.3390/electronics12051169 - 28 Feb 2023
Cited by 5 | Viewed by 5594
Abstract
The potential of the Internet of Health Things (IoHT), also identified in the literature as the Internet of Medical Things (IoMT), is enormous, since it can generate expressive impacts on healthcare devices, such as the capnograph. When applied to mechanical ventilation, it provides [...] Read more.
The potential of the Internet of Health Things (IoHT), also identified in the literature as the Internet of Medical Things (IoMT), is enormous, since it can generate expressive impacts on healthcare devices, such as the capnograph. When applied to mechanical ventilation, it provides essential healthcare to the patient and helps save lives. This survey elaborates on a deep review of related literature about the most robust and effective innovative healthcare solutions using modern technologies, such as the Internet of Things (IoT), cloud computing, Blynk, Bluetooth Low Energy, Robotics, and embedded systems. It emphasizes that IoT-based wearable and smart devices that work as integrated systems can be a faster response to other pandemic crises, respiratory diseases, and other problems that may occur in the future. It may also extend the performance of e-Health platforms used as monitoring systems. Therefore, this paper considers the state of the art to substantiate research about sensors, highlighting the relevance of new studies, strategies, approaches, and novelties in the field. Full article
(This article belongs to the Special Issue Advances in Wireless Networks and Mobile Systems)
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10 pages, 3507 KiB  
Article
Effectiveness of Different Cellulose-Based Filtration Materials against Inhalation of SARS-CoV-2-Like Particles
by Alyne R. de Araújo, Lívio C. C. Nunes, Karla C. B. F. Oliveira, Maria G. F. M. Carvalho, Juliana C. Cardoso, Patricia Severino, Monica F. L. R. Soares, Eliana B. Souto and Gildário D. Lima
Nanomanufacturing 2021, 1(2), 57-66; https://doi.org/10.3390/nanomanufacturing1020006 - 1 Jul 2021
Cited by 1 | Viewed by 4547
Abstract
The respiratory protection equipment (RPE) used by health professionals consists of an essential device to prevent infectious diseases, especially those caused by biological agents such as the coronavirus (SARS-CoV-2). The current epidemiological panorama is worrying, and the context of creation and production of [...] Read more.
The respiratory protection equipment (RPE) used by health professionals consists of an essential device to prevent infectious diseases, especially those caused by biological agents such as the coronavirus (SARS-CoV-2). The current epidemiological panorama is worrying, and the context of creation and production of the mask has emerged as an alternative to RPE to face the public health crisis worldwide. The aim of this work is to present a low-cost alternative as an FFP2-like filter for a reusable respirator face mask. This study presents the comparison of different cellulose-based filtering materials performed by retention testing, time saturation testing, aerosol penetration testing, nanoparticle (~140 nm) filtration testing, bacterial filtration efficiency (BFE), analysis of material morphology and usability. The reusable respirator face mask used in this study is an open-source innovation, using 3D printing. Cotton disc proved to be the best filter material for the reusable mask, with satisfactory results and a performance similar to that shown by the N95-type mask. The cotton disc ensured effectiveness over 6 h of use, and after that, the reusable respirator face mask (here, Delfi-TRON®) needed to be sanitized and replenished with a new cotton disc. Upon preliminary analyses of filtration efficiency, the selected filter was shown to be a low-cost biodegradable and biocompatible alternative. Full article
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9 pages, 787 KiB  
Review
Time Perception Mechanisms at Central Nervous System
by Rhailana Fontes, Jéssica Ribeiro, Daya S. Gupta, Dionis Machado, Fernando Lopes-Júnior, Francisco Magalhães, Victor Hugo Bastos, Kaline Rocha, Victor Marinho, Gildário Lima, Bruna Velasques, Pedro Ribeiro, Marco Orsini, Bruno Pessoa, Marco Antonio Araujo Leite and Silmar Teixeira
Neurol. Int. 2016, 8(1), 5939; https://doi.org/10.4081/ni.2016.5939 - 1 Apr 2016
Cited by 66 | Viewed by 2553
Abstract
The five senses have specific ways to receive environmental information and lead to central nervous system. The perception of time is the sum of stimuli associated with cognitive processes and environmental changes. Thus, the perception of time requires a complex neural mechanism and [...] Read more.
The five senses have specific ways to receive environmental information and lead to central nervous system. The perception of time is the sum of stimuli associated with cognitive processes and environmental changes. Thus, the perception of time requires a complex neural mechanism and may be changed by emotional state, level of attention, memory and diseases. Despite this knowledge, the neural mechanisms of time perception are not yet fully understood. The objective is to relate the mechanisms involved the neurofunctional aspects, theories, executive functions and pathologies that contribute the understanding of temporal perception. Articles form 1980 to 2015 were searched by using the key themes: neuroanatomy, neurophysiology, theories, time cells, memory, schizophrenia, depression, attention-deficit hyperactivity disorder and Parkinson’s disease combined with the term perception of time. We evaluated 158 articles within the inclusion criteria for the purpose of the study. We conclude that research about the holdings of the frontal cortex, parietal, basal ganglia, cerebellum and hippocampus have provided advances in the understanding of the regions related to the perception of time. In neurological and psychiatric disorders, the understanding of time depends on the severity of the diseases and the type of tasks. Full article
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