[HTML][HTML] Artificial Intelligence-Based Digital Biomarkers for Type 2 Diabetes: A Review
Type 2 diabetes mellitus (T2DM), a complex metabolic disorder that burdens the healthcare
system, requires early detection and treatment. Recent strides in digital health technologies …
system, requires early detection and treatment. Recent strides in digital health technologies …
[HTML][HTML] Recent advancements using machine learning & deep learning approaches for diabetes detection: a systematic review
Abstract Nowadays, Diabetes Mellitus is one of the significant health challenges that affects
many people across the world. Early detection of Diabetes Mellitus will help in preventing …
many people across the world. Early detection of Diabetes Mellitus will help in preventing …
[HTML][HTML] Advanced Denoising and Meta-Learning Techniques for Enhancing Smart Health Monitoring Using Wearable Sensors
This study introduces a novel meta-learning method to enhance diabetes detection using
wearable sensor systems in smart health applications. Wearable sensor technology often …
wearable sensor systems in smart health applications. Wearable sensor technology often …
Multi-resolution assessment of ECG sensor data for sleep apnea detection using wide neural network
Sleep apnea (SA) is a noncommunicable medical condition associated with sleep,
characterized by recurrent interruptions in breathing during sleep. Electrocardiogram (ECG) …
characterized by recurrent interruptions in breathing during sleep. Electrocardiogram (ECG) …
[HTML][HTML] Edge-AI Enabled Wearable Device for Non-Invasive Type 1 Diabetes Detection Using ECG Signals
Diabetes is a chronic condition, and traditional monitoring methods are invasive,
significantly reducing the quality of life of the patients. This study proposes the design of an …
significantly reducing the quality of life of the patients. This study proposes the design of an …
Multi-resolution assessment of heart rate variability signals during yogic and normal breathing using machine learning modules
In recent times, yoga has gained global prominence due to its wide-ranging health benefits.
Heart rate variability (HRV) analysis has become a widely embraced tool to assess the …
Heart rate variability (HRV) analysis has become a widely embraced tool to assess the …
Impact of Biosensors and Biomarkers in Diabetes Care: A Review
A Balkrishna, S Singh, S Mishra, M Rana… - Biomedical Materials & …, 2024 - Springer
Diabetes is a long-lasting health condition characterized by elevated blood glucose levels
(hyperglycemia), resulting from defects in insulin secretion, action, or both. Early diagnosis …
(hyperglycemia), resulting from defects in insulin secretion, action, or both. Early diagnosis …
[HTML][HTML] A flexible analytic wavelet transform and ensemble bagged tree model for electroencephalogram-based meditative mind-wandering detection
Mind-wandering (MW) is when an individual's concentration drifts away from the task or
activity. Researchers found a greater variability in electroencephalogram (EEG) signals due …
activity. Researchers found a greater variability in electroencephalogram (EEG) signals due …
Automated assessment of mental workload from PPG sensor data using cross-wavelet coherence and transfer learning
Highly complex cognitive works require more brain power. The productivity of a person
suffers due to this strain, which is sometimes referred to as a mental burden or psychological …
suffers due to this strain, which is sometimes referred to as a mental burden or psychological …
Tunable Q-factor wavelet transform based identification of diabetic patients using ECG signals
Diabetes is a chronic health condition that is characterized by increased levels of glucose
(sugar) in the blood. It can have harmful effects on different parts of the body, such as the …
(sugar) in the blood. It can have harmful effects on different parts of the body, such as the …