Prenatal Healthcare Framework Using IoMT Data Analytics

Author:

Pandey Rajiv1ORCID,Pandey Agnivesh2,Maurya Pratibha1,Singh Guru Dev1

Affiliation:

1. Amity University, Lucknow, India

2. D.A-V. College, Chhatrapati Shahu Ji Maharaj University, Kanpur, India

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.

Publisher

IGI Global

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Predictive approach for Autism Detection using Computer Vision and Deep Learning;2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon);2024-04-25

2. PCA-Based Dimensionality Reduction for IoMT Prenatal Data Analytics;2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon);2024-04-25

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