Survey on IoT Based Pregnant Women Health Monitoring System

Ettiyan, Rajkumar; Geetha,

doi:10.1109/iciss49785.2020.9316094

Cited by 6 publications

(4 citation statements)

References 22 publications

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“…The study will focus on pregnant women with unregulated medical conditions in the community, assessing the system's impact on healthcare regulation and addressing privacy, religious, legal, and societal concerns. [ 1] Health-monitoring of pregnant women: Suman Kumar, Yashi Gupta and Vijay Mago, IEEE Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA.…”

Section: IImentioning

confidence: 99%

Cradle Care

Deshmukh

2024

IJRASET

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In a rapidly evolving landscape where digital solutions are revolutionizing healthcare, the advent of artificial intelligence (AI) has ushered in a new era of comprehensive support for expectant mothers throughout their pregnancy journey. This abstract introduces an innovative Pregnancy App with AI that aspires to bridge gaps in traditional healthcare systems, offering proactive, accessible, and personalized guidance to address the critical needs of both the mother and the unborn child. Pregnancy represents a pivotal phase in a woman's life, and ensuring the well-being of both mother and child is paramount. This groundbreaking Pregnancy App with AI is meticulously designed to transform the way we approach prenatal care, empowering expectant mothers with the tools they need for a healthy and informed pregnancy experience. This presentation unfolds the core objectives of the Pregnancy App, shedding light on its integration of cutting-edge AI technologies, and the research underpinning its development. By harnessing collective knowledge from an extensive literature survey, we have identified key trends, challenges, and opportunities that have profoundly influenced the features and functionalities of our application. In summary, the Pregnancy App with AI stands at the forefront of digital healthcare solutions, redefining the pregnancy journey by offering personalized, proactive, and accessible support. Through the integration of cutting-edge AI technologies and the insights garnered from in-depth research, our application promises to transform the way we approach prenatal care, ensuring the well-being of both mother and child throughout this critical phase of life

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Section: IImentioning

confidence: 99%

Cradle Care

Deshmukh

2024

IJRASET

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“…The first is monitoring methods, applications, and use cases; the other is medication and reminder management [34]. The work mainly involves the prenatal, neonatal, prepartum, and postpartum phases of pregnancy that monitor both stakeholders, namely mothers and babies [58][59][60][61].…”

Section: Iot and Pregnancy Monitoringmentioning

confidence: 99%

“…Albahri et al [34] discussed state of the art in telemedicine that helps in disease prevention mechanisms. Ettiyan et al [58] performed a comprehensive survey on the health monitoring of pregnant women and the role of IoT in these systems. Similar but updated research was carried out in [62] that surveyed the exact role of IoT up to 2022.…”

Section: Iot and Pregnancy Monitoringmentioning

confidence: 99%

“…Our comprehensive investigation of previous studies concluded that, although some of the review articles [16,[58][59][60][61][62][63] address IoT and its subsequent role in pregnancy monitoring methods and systems, very few systematic reviews of the literature have been performed to date in this domain that summarize the research that is ultimately shown in Table 1. The penultimate goal of the systematic review has always been to identify, evaluate, and summarize the results, evaluation, and findings of all relevant studies systematically on an issue, which is health monitoring for pregnant women in this case, thus making the available evidence more accessible and usable to decision makers and relevant stakeholders.…”

Section: Iot and Pregnancy Monitoringmentioning

confidence: 99%

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

Hossain,

Kashem,

Islam

et al. 2023

Sensors

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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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Anandha Hridaya-Fetal Heart Beat Monitor

et al. 2024

2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet O

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Survey on IoT Based Pregnant Women Health Monitoring System

Cited by 6 publications

References 22 publications

Cradle Care

Cradle Care

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

Anandha Hridaya-Fetal Heart Beat Monitor

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