Authors : Abed Elrahman Abu Dalu

Volume/Issue : Volume 10 - 2025, Issue 6 - June

Google Scholar : https://tinyurl.com/37ndyvn6

DOI : https://doi.org/10.38124/ijisrt/25jun1769

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : Physiological and neuromuscular biomarkers are among the most critical indicators reflecting healthy development in children (Chen et al., 2021). Early detection of any changes in these indicators significantly enhances the potential for timely therapeutic intervention and improved health outcomes (Mahmoud et al., 2023). This article aims to shed light on recent advancements in wearable smart sensor technologies that enable continuous, non-invasive monitoring of various vital signs (WHO, 2022). Our focus centers on integrating Internet of Things (IoT) technologies with Artificial Intelligence (AI) for analyzing children's biological data, providing a comprehensive technological model for preventive care (Li et al., 2022). The article also addresses the ethical and cybersecurity dimensions of using such technologies, as well as the vital role of families in their implementation (Mahmoud et al., 2023). The study concludes that integrated smart platforms represent a promising future step in improving the quality of pediatric healthcare, especially during critical developmental stages (Chen et al., 2021; WHO, 2022).

Keywords : Smart Sensors, Children, Physiological Indicators, Artificial Intelligence, Preventive Care, Internet of Things, Neuromuscular Disorder.

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