Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review

The Internet of Things (IoT) has positioned itself globally as a dominant force in the technology sector. IoT, a technology based on interconnected devices, has found applications in various research areas, including healthcare. Embedded devices and wearable technologies powered by IoT have been sho...

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Main Authors: Mohammad Mobarak Hossain, Mohammod Abul Kashem, Md. Monirul Islam, Md. Sahidullah, Sumona Hoque Mumu, Jia Uddin, Daniel Gavilanes Aray, Isabel de la Torre Diez, Imran Ashraf, Md Abdus Samad
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/23/9367
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author Mohammad Mobarak Hossain
Mohammod Abul Kashem
Md. Monirul Islam
Md. Sahidullah
Sumona Hoque Mumu
Jia Uddin
Daniel Gavilanes Aray
Isabel de la Torre Diez
Imran Ashraf
Md Abdus Samad
author_facet Mohammad Mobarak Hossain
Mohammod Abul Kashem
Md. Monirul Islam
Md. Sahidullah
Sumona Hoque Mumu
Jia Uddin
Daniel Gavilanes Aray
Isabel de la Torre Diez
Imran Ashraf
Md Abdus Samad
author_sort Mohammad Mobarak Hossain
collection DOAJ
description The Internet of Things (IoT) has positioned itself globally as a dominant force in the technology sector. IoT, a technology based on interconnected devices, has found applications in various research areas, including healthcare. Embedded devices and wearable technologies powered by IoT have been shown to be effective in patient monitoring and management systems, with a particular focus on pregnant women. This study provides a comprehensive systematic review of the literature on IoT architectures, systems, models and devices used to monitor and manage complications during pregnancy, postpartum and neonatal care. The study identifies emerging research trends and highlights existing research challenges and gaps, offering insights to improve the well-being of pregnant women at a critical moment in their lives. The literature review and discussions presented here serve as valuable resources for stakeholders in this field and pave the way for new and effective paradigms. Additionally, we outline a future research scope discussion for the benefit of researchers and healthcare professionals.
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spelling doaj.art-90778c876db940a6b998dca2ad420ffe2023-12-08T15:25:40ZengMDPI AGSensors1424-82202023-11-012323936710.3390/s23239367Internet of Things in Pregnancy Care Coordination and Management: A Systematic ReviewMohammad Mobarak Hossain0Mohammod Abul Kashem1Md. Monirul Islam2Md. Sahidullah3Sumona Hoque Mumu4Jia Uddin5Daniel Gavilanes Aray6Isabel de la Torre Diez7Imran Ashraf8Md Abdus Samad9Department of Computer Science and Engineering, Dhaka University of Engineering and Technology (DUET), Gazipur 1707, BangladeshDepartment of Computer Science and Engineering, Dhaka University of Engineering and Technology (DUET), Gazipur 1707, BangladeshDepartment of Software Engineering, Daffodil International University, Daffodil Smart City (DSC), Birulia, Savar, Dhaka 1216, BangladeshDepartment of Computer Science and Engineering, Asian University of Bangladesh (AUB), Bangabandhu Road, Tongabari Ashulia, Dhaka 1349, BangladeshSchool of Kinesiology, University of Louisiana at Lafayette, Lafayette, LA 70504, USAAI and Big Data Department, Endicott College, Woosong University, Daejeon 34606, Republic of KoreaHigher Polytechnic School, Universidad Europea del Atlántico, Isabel Torres 21, 39011 Santander, SpainDepartment of Signal Theory, Communications and Telematics Engineering, Unviersity of Valladolid, Paseo de Belén, 15, 47011 Valladolid, SpainDepartment of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Republic of KoreaDepartment of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Republic of KoreaThe Internet of Things (IoT) has positioned itself globally as a dominant force in the technology sector. IoT, a technology based on interconnected devices, has found applications in various research areas, including healthcare. Embedded devices and wearable technologies powered by IoT have been shown to be effective in patient monitoring and management systems, with a particular focus on pregnant women. This study provides a comprehensive systematic review of the literature on IoT architectures, systems, models and devices used to monitor and manage complications during pregnancy, postpartum and neonatal care. The study identifies emerging research trends and highlights existing research challenges and gaps, offering insights to improve the well-being of pregnant women at a critical moment in their lives. The literature review and discussions presented here serve as valuable resources for stakeholders in this field and pave the way for new and effective paradigms. Additionally, we outline a future research scope discussion for the benefit of researchers and healthcare professionals.https://www.mdpi.com/1424-8220/23/23/9367patient monitoringInternet of Thingshealthcare in IoTm-healthmaternal care coordinationmaternal health data-set
spellingShingle Mohammad Mobarak Hossain
Mohammod Abul Kashem
Md. Monirul Islam
Md. Sahidullah
Sumona Hoque Mumu
Jia Uddin
Daniel Gavilanes Aray
Isabel de la Torre Diez
Imran Ashraf
Md Abdus Samad
Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review
Sensors
patient monitoring
Internet of Things
healthcare in IoT
m-health
maternal care coordination
maternal health data-set
title Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review
title_full Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review
title_fullStr Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review
title_full_unstemmed Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review
title_short Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review
title_sort internet of things in pregnancy care coordination and management a systematic review
topic patient monitoring
Internet of Things
healthcare in IoT
m-health
maternal care coordination
maternal health data-set
url https://www.mdpi.com/1424-8220/23/23/9367
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