Advances in Multi‐modal Remote Infant Monitoring Systems

Saher, Najia; Riaz, Omer; Suleman, Muhammad; Khan, Dost Muhammad; Kirn, Nasira; Jan, Sana Ullah; Shahid, Rizwan; Rabah, Hassan; Ramzan, Naeem

Abstract

This chapter offers a thorough analysis of recent research on remote patient monitoring (RPM) from the perspective of modified sensing technologies using both contact-based and contact-less sensors. It examines the latest advancements in remote monitoring systems for infant healthcare. The chapter takes a closer look at significant challenges such as sensor interference in the context of attacks on the technology used in these multi-modal wireless sensing networks. It explores remote infant monitoring and its feasibility and acceptability by parents and infants. The chapter underscores the significant impact of advancements in RPM systems for infants on society and researchers. It also emphasizes the importance of privacy preserving methods to limit data availability and highlights the research challenges and opportunities associated with remote monitoring of infants. The chapter focuses on the discussion of respiration and apnea monitoring systems and heart- and blood-related diseases in infants.

Citation

Saher, N., Riaz, O., Suleman, M., Khan, D. M., Kirn, N., Jan, S. U., Shahid, R., Rabah, H., & Ramzan, N. (2025). Advances in Multi‐modal Remote Infant Monitoring Systems. In M. Ur Rehman, A. Zoha, M. Ali Jamshed, & N. Ramzan (Eds.), Multimodal Intelligent Sensing in Modern Applications (227-251). Wiley. https://doi.org/10.1002/9781394257744.ch10

• Online Publication Date: Dec 27, 2024
• Publication Date: 2025
• Deposit Date: Jan 20, 2025
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Pages: 227-251
• Book Title: Multimodal Intelligent Sensing in Modern Applications
• Chapter Number: 10
• ISBN: 9781394257713
• DOI: https://doi.org/10.1002/9781394257744.ch10
• Keywords: contact-based sensors, contact-less sensors, infant healthcare, multi-modal wireless sensing networks, remote infant monitoring, remote monitoring systems, remote patient monitoring