Continuous glucose monitoring systems: a review
SK Vashist - Diagnostics, 2013 - mdpi.com
There have been continuous advances in the field of glucose monitoring during the last four
decades, which have led to the development of highly evolved blood glucose meters, non …
decades, which have led to the development of highly evolved blood glucose meters, non …
[HTML][HTML] Persuasive technology in an mHealth app designed for pelvic floor muscle training among women: systematic review
Background Pelvic floor muscle training (PFMT) is one of the first-line treatments for stress
urinary incontinence among pregnant women. Mobile health (mHealth) technology is …
urinary incontinence among pregnant women. Mobile health (mHealth) technology is …
A pilot study in humans of microneedle sensor arrays for continuous glucose monitoring
Although subcutaneously implanted continuous glucose monitoring (CGM) devices have
been shown to support diabetes self-management, their uptake remains low due to a …
been shown to support diabetes self-management, their uptake remains low due to a …
Continuous glucose monitoring: real-time algorithms for calibration, filtering, and alarms
BW Bequette - Journal of diabetes science and technology, 2010 - journals.sagepub.com
Algorithms for real-time use in continuous glucose monitors are reviewed, including
calibration, filtering of noisy signals, glucose predictions for hypoglycemic and …
calibration, filtering of noisy signals, glucose predictions for hypoglycemic and …
Towards personalization of diabetes therapy using computerized decision support and machine learning: some open problems and challenges
Diabetes mellitus (DM) is a growing global disease which highly affects the individual
patient and represents a global health burden with financial impact on national health care …
patient and represents a global health burden with financial impact on national health care …
Fault and meal detection by redundant continuous glucose monitors and the unscented Kalman filter
The purpose of this study is to develop a method for detecting and compensating the
anomalies of continuous glucose monitoring (CGM) sensors as well as detecting …
anomalies of continuous glucose monitoring (CGM) sensors as well as detecting …
[图书][B] Advances in Artificial Pancreas Systems: Adaptive and Multivariable Predictive Control
This brief introduces recursive modeling techniques that take account of variations in blood
glucose concentration within and between individuals. It describes their use in developing …
glucose concentration within and between individuals. It describes their use in developing …
Real-time glucose estimation algorithm for continuous glucose monitoring using autoregressive models
Background: Continuous glucose monitors (CGMs) present a problem of lack of accuracy,
especially in the lower range, sometimes leading to missed or false hypoglycemia. A new …
especially in the lower range, sometimes leading to missed or false hypoglycemia. A new …
[HTML][HTML] Using momentary assessment and machine learning to identify barriers to self-management in type 1 diabetes: observational study
Background For adolescents living with type 1 diabetes (T1D), completion of multiple daily
self-management tasks, such as monitoring blood glucose and administering insulin, can be …
self-management tasks, such as monitoring blood glucose and administering insulin, can be …
Real-time model-based fault detection of continuous glucose sensor measurements
Objective: Faults in subcutaneous glucose concentration readings with a continuous
glucose monitoring (CGM) may affect the computation of insulin infusion rates that can lead …
glucose monitoring (CGM) may affect the computation of insulin infusion rates that can lead …