The proposed architecture links literature-derived limitations and healthcare-professional needs to a simulation-supported ML-IEMS policy, improving autonomy and signal fidelity while maintaining clinical sensitivity.
The convergence of Internet of Things (IoT) and Machine Learning (ML) technologies allows for a new paradigm in smart healthcare, with real‐time, ubiquitous patient monitoring, as well as the ability to predict diseases early in order to facilitate preventative measures. Based on this, the work presented here describes...
M. Das, Proshanta Sarkar, Dr Suman Kumar Swarnkar et al.· Concurrency and Computation· 0 citations
Abstract: The need to constantly and remotely monitor patients has led to considerable progress in smart bed-based healthcare. This paper includes the systematic review of the assessment of intelligent bed activity using vital signs sensors with emphasis on the combination of sensor technologies and machine learning me...
B. Oluwalade, A. Akinwumi, E. Oluwalade et al.· ABUAD Journal of Engineering...· 0 citations
Background: Chronic disease management, an ageing global population, and the aftermath of the COVID-19 pandemic have pushed real-time, continuous health monitoring from a research curiosity toward routine clinical practice. Artificial intelligence (AI), the Internet of Medical Things (IoMT), edge computing, and next-ge...
This study presents a LoRa-based wearable system for monitoring the vital signs of older adults and generating emergency alerts. The system integrates a wearable node, an SX1262 LoRa link, a gateway, Google Sheets logging, a web dashboard, and LINE Messaging API caregiver notification. The urgency-aware DATA/ALERT arch...
The work demonstrates an end-to-end low-cost remote-monitoring proof of concept spanning wearable sensing, dual-core firmware, cloud storage, role-based dashboards, and human-in-the-loop triage and supports system integration and engineering feasibility.
M. A. Torad, H. Ahmed, A. Torad et al.· Italian National Conference...· 0 citations
The internet of medical things (IoMT) is a structured integrative review of the internet of things (IoT) that focuses on the medical field, specifically on the integration of physiological sensors, medical devices, communication networks, and the clinical information systems to monitor and track patients' health and co...
H. Owida, Areen M. Arabiat· Bulletin of Electrical Engin...· 0 citations
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