IoT-Enabled Real-Time Health Monitoring via Smart Textile Integration With LoRa Technology Across Diverse Environments

Iman, Usman Rizqi; Zada, Muhammad; Basir, Abdul; Hayat, Shahzeb; Lim, Young-Hyo; Yoo, Hyoungsuk

doi:10.1109/tii.2024.3424517

IEEE Trans. Ind. Inf.

2024

DOI: 10.1109/tii.2024.3424517

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IoT-Enabled Real-Time Health Monitoring via Smart Textile Integration With LoRa Technology Across Diverse Environments

Usman Rizqi Iman,

Muhammad Zada,

Abdul Basir

et al.

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Wearable Sensors, Data Processing, and Artificial Intelligence in Pregnancy Monitoring: A Review

Liu,

Pu,

Fan

et al. 2024

Sensors

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Pregnancy monitoring is always essential for pregnant women and fetuses. According to the report of WHO (World Health Organization), there were an estimated 287,000 maternal deaths worldwide in 2020. Regular hospital check-ups, although well established, are a burden for pregnant women because of frequent travelling or hospitalization. Therefore, home-based, long-term, non-invasive health monitoring is one of the hot research areas. In recent years, with the development of wearable sensors and related data-processing technologies, pregnancy monitoring has become increasingly convenient. This article presents a review on recent research in wearable sensors, physiological data processing, and artificial intelligence (AI) for pregnancy monitoring. The wearable sensors mainly focus on physiological signals such as electrocardiogram (ECG), uterine contraction (UC), fetal movement (FM), and multimodal pregnancy-monitoring systems. The data processing involves data transmission, pre-processing, and application of threshold-based and AI-based algorithms. AI proves to be a powerful tool in early detection, smart diagnosis, and lifelong well-being in pregnancy monitoring. In this review, some improvements are proposed for future health monitoring of pregnant women. The rollout of smart wearables and the introduction of AI have shown remarkable potential in pregnancy monitoring despite some challenges in accuracy, data privacy, and user compliance.

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Wearable Sensors, Data Processing, and Artificial Intelligence in Pregnancy Monitoring: A Review

Liu,

Pu,

Fan

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

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IoT-Enabled Real-Time Health Monitoring via Smart Textile Integration With LoRa Technology Across Diverse Environments

Cited by 1 publication

References 30 publications

Wearable Sensors, Data Processing, and Artificial Intelligence in Pregnancy Monitoring: A Review

Wearable Sensors, Data Processing, and Artificial Intelligence in Pregnancy Monitoring: A Review

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