AIMC Topic: Monitoring, Physiologic

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An ensemble of deep representation learning with metaheuristic optimisation algorithm for critical health monitoring using internet of medical things.

Scientific reports Aug 10, 2025
The Internet of Things (IoT) plays a significant part in the healthcare field. The growth of smart devices, smart sensors, and advanced lightweight communication protocols has created an opportunity to connect medical devices for monitoring biomedica...
Humans Wearable Electronic Devices Monitoring, Physiologic Internet of Things Algorithms Deep Learning
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IoT enabled health monitoring system using rider optimization algorithm and joint process estimation.

Scientific reports Jul 29, 2025
The timely detection of abnormal health conditions is crucial in achieving successful medical intervention and enhancing patient outcomes. Despite advances in health monitoring, existing methods often struggle with achieving high accuracy, sensitivit...
Heart Rate Internet of Things Support Vector Machine Monitoring, Physiologic Humans Machine Learning Algorithms Neural Networks, Computer
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Tackling inter-subject variability in smartwatch data using factorization models.

Scientific reports Jul 23, 2025
Smartwatches enable longitudinal and continuous data acquisition. This has the potential to remotely monitor (changes) of the health of users. However, differences among subjects (inter-subject variability) limit a model to generalize to unseen subje...
Female Adult Male Humans Algorithms Sleep Wearable Electronic Devices Oxygen Saturation Monitoring, Physiologic Heart Rate
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On-Mask Magnetoelastic Sensor Network for Self-Powered Respiratory Monitoring.

ACS nano Jul 16, 2025
Respiratory monitoring is crucial because it provides key insights into a person's health and physiological conditions. Conventional respiratory sensing is significantly challenged by the presence of water vapor in exhaled breath. An on-mask magnetoe...
Equipment Design Elasticity Masks Respiration Machine Learning Monitoring, Physiologic Humans
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A hybrid fog-edge computing architecture for real-time health monitoring in IoMT systems with optimized latency and threat resilience.

Scientific reports Jul 15, 2025
The advancement of the Internet of Medical Things (IoMT) has transformed healthcare delivery by enabling real-time health monitoring. However, it introduces critical challenges related to latency and, more importantly, the secure handling of sensitiv...
Computer Security Cloud Computing Monitoring, Physiologic Internet of Things Humans
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Synergizing Nanosensor-Enhanced Wearable Devices with Machine Learning for Precision Health Management Benefiting Older Adult Populations.

ACS nano Jul 14, 2025
Population aging presents significant health challenges and socioeconomic burdens globally, driving an increased demand for precision health management. In the era of big data, the exponential growth of health information is accelerating advances in ...
Nanotechnology Humans Machine Learning Wearable Electronic Devices Biosensing Techniques Precision Medicine Monitoring, Physiologic Aged
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Design and analysis of TwinCardio framework to detect and monitor cardiovascular diseases using digital twin and deep neural network.

Scientific reports Jul 8, 2025
World Health Organization (WHO) estimates 17.9 million deaths globally every year due to Cardiovascular Disease or CVD, which includes an array of disorders of the heart and blood vessels, that includes coronary heart disease, cerebrovascular disease...
Humans Monitoring, Physiologic Machine Learning Neural Networks, Computer Cardiovascular Diseases
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Fused federated learning framework for secure and decentralized patient monitoring in healthcare 5.0 using IoMT.

Scientific reports Jul 7, 2025
Federated Learning (FL) enables artificial intelligence frameworks to train on private information without compromising privacy, which is especially useful in the medical and healthcare industries where the knowledge or data at hand is never enough. ...
Monitoring, Physiologic Computer Security Federated Learning Machine Learning Humans Delivery of Health Care Artificial Intelligence
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Enhancing remote patient monitoring with AI-driven IoMT and cloud computing technologies.

Scientific reports Jul 5, 2025
The rapid advancement of the Internet of Medical Things (IoMT) has revolutionized remote healthcare monitoring, enabling real-time disease detection and patient care. This research introduces a novel AI-driven telemedicine framework that integrates I...
Artificial Intelligence Algorithms Internet of Things Humans Monitoring, Physiologic Cloud Computing Telemedicine Remote Patient Monitoring
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection.

Scientific reports Jul 2, 2025
In general, deficient birth weight neonates suffer from hypoglycemia, and this can be quite disadvantageous. Like oxygen, glucose is a building block of life and constitutes the significant share of energy produced by the fetus and the neonate during...
Deep Learning Infant, Premature Blood Glucose Female Humans Infant, Newborn Monitoring, Physiologic Photoplethysmography Algorithms Hypoglycemia
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