AIMC Topic: Blood Glucose
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Optimization and Evaluation of an Intelligent Short-Term Blood Glucose Prediction Model Based on Noninvasive Monitoring and Deep Learning Techniques.
Journal of healthcare engineering
Apr 11, 2022
Continuous noninvasive blood glucose monitoring and estimation management by using photoplethysmography (PPG) technology always have a series of problems, such as substantial time variability, inaccuracy, and complex nonlinearity. This paper proposes...
Quantitative analysis of Raman spectra for glucose concentration in human blood using Gramian angular field and convolutional neural network.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Mar 26, 2022
In this study, convolutional neural network based on Gramian angular field (GAF-CNN) was firstly proposed. The 1-D Raman spectral data was converted into images and used for predicting the biochemical value of blood glucose. 106 sets of blood spectru...
A Novel Extra Tree Ensemble Optimized DL Framework (ETEODL) for Early Detection of Diabetes.
Frontiers in public health
Feb 15, 2022
Diabetes has been recognized as a global medical problem for more than half a century. Patients with diabetes can benefit from the Internet of Things (IoT) devices such as continuous glucose monitoring (CGM), intelligent pens, and similar devices. Sm...
A machine learning-based on-demand sweat glucose reporting platform.
Scientific reports
Feb 14, 2022
Diabetes is a chronic endocrine disease that occurs due to an imbalance in glucose levels and altering carbohydrate metabolism. It is a leading cause of morbidity, resulting in a reduced quality of life even in developed societies, primarily affected...
Non-invasively accuracy enhanced blood glucose sensor using shallow dense neural networks with NIR monitoring and medical features.
Scientific reports
Feb 2, 2022
Non-invasive and accurate method for continuous blood glucose monitoring, the self-testing of blood glucose is in quest for better diagnosis, control and the management of diabetes mellitus (DM). Therefore, this study reports a multiple photonic band...
A Deep Learning Framework for Automatic Meal Detection and Estimation in Artificial Pancreas Systems.
Sensors (Basel, Switzerland)
Jan 8, 2022
Current artificial pancreas (AP) systems are hybrid closed-loop systems that require manual meal announcements to manage postprandial glucose control effectively. This poses a cognitive burden and challenge to users with T1D since this relies on freq...
Multi-step ahead predictive model for blood glucose concentrations of type-1 diabetic patients.
Scientific reports
Dec 21, 2021
Continuous monitoring of blood glucose (BG) levels is a key aspect of diabetes management. Patients with Type-1 diabetes (T1D) require an effective tool to monitor these levels in order to make appropriate decisions regarding insulin administration a...
90% Accuracy for Photoplethysmography-Based Non-Invasive Blood Glucose Prediction by Deep Learning with Cohort Arrangement and Quarterly Measured HbA1c.
Sensors (Basel, Switzerland)
Nov 24, 2021
Previously published photoplethysmography-(PPG) based non-invasive blood glucose (NIBG) measurements have not yet been validated over 500 subjects. As illustrated in this work, we increased the number subjects recruited to 2538 and found that the pre...
mHealth apps for gestational diabetes mellitus that provide clinical decision support or artificial intelligence: A scoping review.
Diabetic medicine : a journal of the British Diabetic Association
Nov 16, 2021
AIMS: Gestational diabetes (GDM) is the most common metabolic disorder of pregnancy, requiring complex management and empowerment of those affected. Mobile health (mHealth) applications (apps) are proposed for streamlining healthcare service delivery...
Magneto-Responsive Microneedle Robots for Intestinal Macromolecule Delivery.
Advanced materials (Deerfield Beach, Fla.)
Sep 17, 2021
Oral administration is the most convenient and commonly used approach for drug delivery, while it is still a challenge to overcome the complicated gastrointestinal barriers and realize efficient macromolecular drug absorption. Here, novel magneto-res...
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