[HTML][HTML] A review of IoT applications in healthcare
Abstract Integrating Internet of Things (IoT) technologies in the healthcare industry
represents a transformative shift with tangible benefits. This paper provides a detailed …
represents a transformative shift with tangible benefits. This paper provides a detailed …
The importance of resource awareness in artificial intelligence for healthcare
Artificial intelligence and machine learning (AI/ML) models have been adopted in a wide
range of healthcare applications, from medical image computing and analysis to continuous …
range of healthcare applications, from medical image computing and analysis to continuous …
Tinyml design contest for life-threatening ventricular arrhythmia detection
The first ACM/IEEE TinyML Design Contest (TDC) held at the 41st International Conference
on Computer-Aided Design (ICCAD) in 2022 is a challenging, multimonth, research and …
on Computer-Aided Design (ICCAD) in 2022 is a challenging, multimonth, research and …
Meta-learning in healthcare: A survey
As a subset of machine learning, meta-learning, or learning to learn, aims at improving the
model's capabilities by employing prior knowledge and experience. A meta-learning …
model's capabilities by employing prior knowledge and experience. A meta-learning …
Deep learning for personalized health monitoring and prediction: A review
R Damaševičius, SK Jagatheesaperumal… - Computational …, 2024 - Wiley Online Library
Personalized health monitoring and prediction are indispensable in advancing healthcare
delivery, particularly amidst the escalating prevalence of chronic illnesses and the aging …
delivery, particularly amidst the escalating prevalence of chronic illnesses and the aging …
Deep Learning for Personalized Electrocardiogram Diagnosis: A Review
The electrocardiogram (ECG) remains a fundamental tool in cardiac diagnostics, yet its
interpretation traditionally reliant on the expertise of cardiologists. The emergence of deep …
interpretation traditionally reliant on the expertise of cardiologists. The emergence of deep …
Deep Learning for Personalized Health Monitoring and Prediction: A Review
RK NVPS, R Damaševicˇius… - Authorea …, 2023 - techrxiv.org
Personalized health monitoring and prediction have become essential for improving health-
care delivery, especially with the growing prevalence of chronic diseases and an aging …
care delivery, especially with the growing prevalence of chronic diseases and an aging …
[PDF][PDF] Optimization of Mamdani-type Fuzzy Risk Assessment Models
Nowadays, risk assessment has become the focus of many research efforts, which is the
result of environmental, health and/or war related situations. One of the most important …
result of environmental, health and/or war related situations. One of the most important …
An Adaptive System for Wearable Devices to Detect Stress Using Physiological Signals
Timely stress detection is crucial for protecting vulnerable groups from long-term detrimental
effects by enabling early intervention. Wearable devices, by collecting real-time …
effects by enabling early intervention. Wearable devices, by collecting real-time …
Personalized Deep Learning for IoT-Enabled Health Monitoring
Z Jia - 2022 - search.proquest.com
Biomedical sensors have been widely utilized to perform long-term health monitoring on
biosignals by being embedded into Internet-of-Things (IoT) devices. IoT-enabled health …
biosignals by being embedded into Internet-of-Things (IoT) devices. IoT-enabled health …