AIMC Topic: Blood Glucose Self-Monitoring
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A Group Decision Making Framework Based on Neutrosophic TOPSIS Approach for Smart Medical Device Selection.
Journal of medical systems
Jan 10, 2019
Advances in the medical industry has become a major trend because of the new developments in information technologies. This research offers a novel approach for estimating the smart medical devices (SMDs) selection process in a group decision making ...
A Dual Mode Adaptive Basal-Bolus Advisor Based on Reinforcement Learning.
IEEE journal of biomedical and health informatics
Dec 17, 2018
Self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM) are commonly used by type 1 diabetes (T1D) patients to measure glucose concentrations. The proposed adaptive basal-bolus algorithm (ABBA) supports inputs from either SMBG...
The Promise and Perils of Wearable Physiological Sensors for Diabetes Management.
Journal of diabetes science and technology
Mar 15, 2018
Development of truly useful wearable physiologic monitoring devices for use in diabetes management is still in its infancy. From wearable activity monitors such as fitness trackers and smart watches to contact lenses measuring glucose levels in tears...
Commercial glucometer as signal transducer for simple evaluation of DNA methyltransferase activity and inhibitors screening.
Analytica chimica acta
Nov 23, 2017
DNA methyltransferase (MTase) plays an important role in many biological processes and has been recognized as a predictive cancer biomarker far before other signs of malignancy and a therapeutic target in cancer treatment. Thus simple and sensitive d...
Stress Testing of an Artificial Pancreas System With Pizza and Exercise Leads to Improvements in the System's Fuzzy Logic Controller.
Journal of diabetes science and technology
Sep 14, 2015
BACKGROUND: Under controlled conditions, the Dose Safety artificial pancreas (AP) system controller, which utilizes "fuzzy logic" (FL) methodology to calculate and deliver appropriate insulin dosages based on changes in blood glucose, successfully ma...
Time Factors
Diabetes Mellitus, Type 1
Hypoglycemic Agents
Predictive Value of Tests
Equipment Design
Insulin Infusion Systems
Humans
Treatment Outcome
Pancreas, Artificial
Algorithms
Exercise
Fuzzy Logic
Young Adult
Female
Drug Dosage Calculations
Blood Glucose
Signal Processing, Computer-Assisted
Adult
Reproducibility of Results
Dietary Carbohydrates
Stress, Physiological
Insulin
Materials Testing
Male
Dietary Fats
Blood Glucose Self-Monitoring
Hypoglycemia prediction using machine learning models for patients with type 2 diabetes.
Journal of diabetes science and technology
Oct 14, 2014
Minimizing the occurrence of hypoglycemia in patients with type 2 diabetes is a challenging task since these patients typically check only 1 to 2 self-monitored blood glucose (SMBG) readings per day. We trained a probabilistic model using machine lea...
Detection of fasting blood sugar using a microwave sensor and convolutional neural network.
Scientific reports
Jul 2, 2025
Monitoring of fasting blood sugar (FBS) is a critical component in the diagnosis and management of diabetes, one of the most widespread chronic diseases globally. Microwave sensing-particularly through microstrip-based sensors-has recently gained att...
Research Gaps, Challenges, and Opportunities in Automated Insulin Delivery Systems.
Diabetes technology & therapeutics
Jul 1, 2025
Since the discovery of the life-saving hormone insulin in 1921 by Dr. Frederick Banting in 1921, there have been many critical discoveries and technical breakthroughs that have enabled people living with type 1 diabetes (T1D) to live longer, healthie...
Sparse group LASSO and nonlinear machine learning for frequency-feature optimization in noninvasive blood glucose monitoring via bioimpedance spectroscopy.
The Review of scientific instruments
Jul 1, 2025
Diabetic patients need to test their blood glucose levels (BGL) frequently; however, traditional methods of blood collection and testing cause great pain to patients. In order to improve the quality of life of patients, this paper develops a noninvas...
The Use of Continuous Glucose Monitoring to Diagnose Stage 2 Type 1 Diabetes.
Journal of diabetes science and technology
Jul 1, 2025
This consensus report evaluates the potential role of continuous glucose monitoring (CGM) in screening for stage 2 type 1 diabetes (T1D). CGM offers a minimally invasive alternative to venous blood testing for detecting dysglycemia, facilitating earl...
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