IoT-Based Wearable and Smart Health Device Solutions for Capnography: Analysis and Perspectives

Author:

Morais Davisson F. T.1,Fernandes Gilberto23,Lima Gildário D.4,Rodrigues Joel J. P. C.56ORCID

Affiliation:

1. Post-Graduation Program in Electrical Engineering, Federal University of Piaui (UFPI), Teresina 64049-550, PI, Brazil

2. State University of Londrina (UEL), Londrina 86057-970, PR, Brazil

3. Universidade Norte do Paraná (UNOPAR), Londrina 86041-120, PR, Brazil

4. Federal University of Parnaíba Delta (UFDPar), Parnaíba 64202-020, PI, Brazil

5. Instituto de Telecomunicações, 6201-001 Covilhã, Portugal

6. College of Computer Science and Technology, China University of Petroleum (East China), Qingdao 266555, China

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 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.

Funder

Fundação para a Ciência e Tecnologia

National Council for Scientific and Technological Development

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

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