AIMC Topic: Wearable Electronic Devices
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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...
Internet of things enabled deep learning monitoring system for realtime performance metrics and athlete feedback in college sports.
Scientific reports
Aug 4, 2025
This study presents an Internet of Things (IoT)-enabled Deep Learning Monitoring (IoT-E-DLM) model for real-time Athletic Performance (AP) tracking and feedback in collegiate sports. The proposed work integrates advanced wearable sensor technologies ...
Personalized ML-based wearable robot control improves impaired arm function.
Nature communications
Aug 2, 2025
Portable wearable robots offer promise for assisting people with upper limb disabilities. However, movement variability between individuals and trade-offs between supportiveness and transparency complicate robot control during real-world tasks. We ad...
A new framework for mental illnesses diagnosis using wearable devices aided by improved convolutional neural network.
Scientific reports
Jul 23, 2025
Stress inherent in the modern world is considered one of the main causes of Mental Health Disorders (MHDs) that spread in every country around the world. These mental and behavioral problems primarily affect the mind and brain that change emotions an...
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...
Diabetic foot prevention, assessment, and management using innovative smart wearable technology: a systematic review.
Journal of neuroengineering and rehabilitation
Jul 18, 2025
The diabetic foot (DF) is a chief culprit behind significant preventable morbidity and mortality in type-2-diabetes patients and the leading cause of non-traumatic lower-extremity amputations. Despite the clinically well-understood pathways to ulcera...
Feasibility of Digitally Identifying and Minimizing Stressors in Palliative Care Workplaces by Measuring Stress Continuously for Nurses Through Wearable Sensors (DiPa): Protocol for a Prospective Cross-Sectional Study.
JMIR research protocols
Jul 16, 2025
BACKGROUND: Nursing in palliative medicine combines primary patient care with the special challenges of this medical field (eg, handling the processes of dying, grief, and death). These cause high stress levels and burden on the nursing staff, result...
Detection and Analysis of Circadian Biomarkers for Metabolic Syndrome Using Wearable Data: Cross-Sectional Study.
JMIR medical informatics
Jul 16, 2025
BACKGROUND: Wearable devices are increasingly used for monitoring health and detecting digital biomarkers related to chronic diseases such as metabolic syndrome (MetS). Although circadian rhythm disturbances are known to contribute to MetS, few studi...
Multimodal Detection of Agitation in People With Dementia in Clinical Settings: Observational Pilot Study.
JMIR aging
Jul 15, 2025
BACKGROUND: Dementia is a progressive neurodegenerative condition that affects millions worldwide, often accompanied by agitation and aggression (AA), which contribute to patient distress and increased health care burden. Existing assessment methods ...
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 ...
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