AIMC Topic: Monitoring, Physiologic
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Comparative assessment of glucose prediction models for patients with type 1 diabetes mellitus applying sensors for glucose and physical activity monitoring.
Medical & biological engineering & computing
Jun 7, 2015
The present work presents the comparative assessment of four glucose prediction models for patients with type 1 diabetes mellitus (T1DM) using data from sensors monitoring blood glucose concentration. The four models are based on a feedforward neural...
A Fuzzy Kernel Motion Classifier for Autonomous Stroke Rehabilitation.
IEEE journal of biomedical and health informatics
May 6, 2015
Autonomous poststroke rehabilitation systems which can be deployed outside hospital with no or reduced supervision have attracted increasing amount of research attentions due to the high expenditure associated with the current inpatient stroke rehabi...
Monitoring Neuro-Motor Recovery From Stroke With High-Resolution EEG, Robotics and Virtual Reality: A Proof of Concept.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Apr 22, 2015
A novel system for the neuro-motor rehabilitation of upper limbs was validated in three sub-acute post-stroke patients. The system permits synchronized cortical and kinematic measures by integrating high-resolution EEG, passive robotic device and Vir...
Stroke
Activities of Daily Living
Psychomotor Performance
Male
Movement Disorders
Recovery of Function
Middle Aged
Cerebral Cortex
Robotics
User-Computer Interface
Treatment Outcome
Functional Laterality
Electroencephalography
Humans
Female
Magnetic Resonance Imaging
Stroke Rehabilitation
Brain
Aged
Monitoring, Physiologic
Precision Medicine
Biomechanical Phenomena
Ultra-Low Power Analog Folded Neural Network for Cardiovascular Health Monitoring.
IEEE journal of biomedical and health informatics
Jun 1, 2025
Wearable sensors are increasingly used for continuous health monitoring, but their small size limits battery capacity, affecting user experience and monitoring capabilities. To overcome this, we introduce an ultra-low power analog Folded Neural Netwo...
A novel smart baby cradle system utilizing IoT sensors and machine learning for optimized parental care.
Scientific reports
May 30, 2025
The IoT Smart Cradle for Baby Monitoring System & Infant Care is introduced as an innovative solution to address critical gaps in contemporary infant care. This system integrates Internet of Things (IoT) technology, machine learning, and smart automa...
Natural AlO Nanodielectric-Based Flexible Sensor with Triple Insensitivity for Healthcare and Robotics.
ACS applied materials & interfaces
May 21, 2025
Flexible pressure sensors are critical for advanced systems such as electronic skins and human-machine interaction. Among them, ionic capacitive pressure sensors have attracted widespread attention due to their exceptional flexibility and sensitivity...
Deep neural network valve detection for accelerometer based cardiac monitoring.
Scientific reports
May 20, 2025
Miniaturized accelerometers incorporated in pacing leads attached directly onto the heart provide a means for continuous monitoring of cardiac function. Several functional accelerometer indices first require detection of valve events. We previously d...
IoT driven smart health monitoring for heart disease prediction using quantum kernel enhanced sardine diffusion and CNN.
Scientific reports
May 19, 2025
Heart disease is one of the major causes of death worldwide, and the traditional diagnostic procedures typically cause delays in treatment, particularly in low-resource regions. In this article, we propose a novel IoT-based Quantum Kernel-Enhanced Sa...
MyWear revolutionizes real-time health monitoring with comparative analysis of machine learning.
Scientific reports
May 16, 2025
This paper facilitates proactive health management, advanced patient care, and early identification of possible health hazards by using MyWear. It is a wearable T-shirt that continuously monitors and predicts physiological parameters such as stress a...
Telecardiology unleashed: probing the depths of effectiveness in remote monitoring and telemedicine applications for acute cardiac conditions.
European heart journal. Acute cardiovascular care
May 16, 2025
Telecardiology has emerged as a promising approach in acute cardiac care through advancements in digital health technologies. This review explores the current evidence of telemedicine applications in acute coronary syndrome, arrhythmias, and acute he...
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