Sensing and artificial intelligent maternal-infant health care systems: a review

Saima Gulzar Ahmad, Tassawar Iqbal, Anam Javaid, Ehsan Ullah Munir*, Nasira Kirn, Sana Ullah Jan, Naeem Ramzan

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

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Abstract

Currently, information and communication technology (ICT) allows health institutions to reach disadvantaged groups in rural areas using sensing and artificial intelligence (AI) technologies. Applications of these technologies are even more essential for maternal and infant health, since maternal and infant health is vital for a healthy society. Over the last few years, researchers have delved into sensing and artificially intelligent healthcare systems for maternal and infant health. Sensors are exploited to gauge health parameters, and machine learning techniques are investigated to predict the health conditions of patients to assist medical practitioners. Since these healthcare systems deal with large amounts of data, significant development is also noted in the computing platforms. The relevant literature reports the potential impact of ICT-enabled systems for improving maternal and infant health. This article reviews wearable sensors and AI algorithms based on existing systems designed to predict the risk factors during and after pregnancy for both mothers and infants. This review covers sensors and AI algorithms used in these systems and analyzes each approach with its features, outcomes, and novel aspects in chronological order. It also includes discussion on datasets used and extends challenges as well as future work directions for researchers.
Original languageEnglish
Article number4362
Number of pages25
JournalSensors
Volume22
Issue number12
DOIs
Publication statusPublished - 9 Jun 2022

Keywords

  • healthcare
  • maternal
  • infant
  • artificial intelligence
  • machine learning
  • wearable sensors
  • wireless sensors

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