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Prenatal Healthcare Framework Using IoMT Data Analytics

Prenatal Healthcare Framework Using IoMT Data Analytics
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Author(s): Rajiv Pandey (Amity University, Lucknow, India), Agnivesh Pandey (D.A-V. College, Chhatrapati Shahu Ji Maharaj University, Kanpur, India), Pratibha Maurya (Amity University, Lucknow, India)and Guru Dev Singh (Amity University, Lucknow, India)
Copyright: 2023
Pages: 29
Source title: The Internet of Medical Things (IoMT) and Telemedicine Frameworks and Applications
Source Author(s)/Editor(s): Rajiv Pandey (Amity University, Lucknow, India), Amrit Gupta (MRH, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India)and Agnivesh Pandey (D.A-V. College, Chhatrapati Shahu Ji Maharaj University, Kanpur, India)
DOI: 10.4018/978-1-6684-3533-5.ch004

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Abstract

In recent years, as hospitals utilize the internet of medical things (IoMT) for medical applications, edge computing has played an important role in distant healthcare systems. Human life has gotten smarter in the era of pervasive computing, thanks to the newest breakthroughs in IoMT, wearable sensors, and communication technologies to give smart healthcare services. IoMT can completely transform the healthcare business. IoMT uses software and information and communication technology (ICT) to connect wearable sensors, patients, healthcare professionals, and carers. Patients are given extensive supportive information to help them get through their recoveries. In this chapter, the authors aim to propose an IoMT-based healthcare framework called prenatal healthcare system of remote mother and fetal surveillance through IoMT. The data collected through the IoMT devices will be transmitted to server and will be analyzed through AI/ML module. On the signal of any abnormality, the central system will alarm attending doctors about the individual mother and fetus to take necessary action.

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