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Continuous glucose monitoring (CGM) is an essential part of diabetes care. Real-time CGM data are beneficial to patients for daily glucose management, and aggregate summary statistics of CGM measures are valuable to direct insulin dosing and as a tool for researchers in clinical trials. Yet, the various commercial systems still report CGM data in disparate, non-standard ways. Accordingly, there is a need for a standardized, free, open-source approach to CGM data management and analysis. A package titled cgmanalysis was developed in the free programming language R to provide a rapid, easy, and consistent methodology for CGM data management, summary measure calculation, and descriptive analysis. Variables calculated by our package compare well to those generated by various CGM software, and our functions provide a more comprehensive list of summary measures available to clinicians and researchers. Consistent handling of CGM data using our R package may facilitate collaboration between research groups and contribute to a better understanding of free-living glucose patterns.
This article was published in the following journal.
Name: PloS one
Artificial pancreas systems aim to reduce the burden of type 1 diabetes by automating insulin dosing. These systems link a continuous glucose monitor (CGM) and insulin pump with a control algorithm, b...
Few studies have assessed the accuracy of the FreeStyle Libre Pro (FLP) continuous glucose monitor for estimating plasma glucose (PG) in non-diabetic children. OBJECTIVE: Determine the accuracy of FLP...
is a significant pathogen of soybean worldwide. Pathotype surveys for are conducted to monitor resistance gene efficacy and determine if new resistance genes are needed. Valuable measurements for pat...
Neonatal hypoglycemia is a common and treatable risk factor for neurological impairment. Real-time continuous glucose monitoring (RT-CGM) can show glucose concentrations in real time. Using an alarm o...
In 2016 intermittently scanned continuous glucose monitoring (isCGM) became the first reimbursed CGM system in Belgium. Many children with type 1 diabetes (T1D) treated with multiple daily injections ...
During surgery and after surgery elevated blood glucose levels can lead to poor outcome such as wound infections. Current technology does not allow close monitoring of glucose levels often...
The purpose of doing this study is to see if continuous glucose monitoring can help people with type 1 diabetes who are sometimes unable to feel if they have a low blood glucose reading. F...
We wish to find out if in non-diabetic pregnancies, as well as diabetic pregnancies, additional data obtained by Continuous Glucose Monitoring improves perinatal risk prediction.
This study allows Type 2 diabetics to receive feedback from a continuous glucose monitor (CGM) as part of an educational program designed to help them better manage their glucose levels. S...
The purpose of this 12 week feasibility study is to see how much more accurate a continuous glucose monitor (CGM) might be in individuals with type 1 diabetes if the investigators personal...
Committees established to review interim data and efficacy outcomes in clinical trials. The findings of these committees are used in deciding whether a trial should be continued as designed, changed, or terminated. Government regulations regarding federally-funded research involving human subjects (the "Common Rule") require (45 CFR 46.111) that research ethics committees reviewing large-scale clinical trials monitor the data collected using a mechanism such as a data monitoring committee. FDA regulations (21 CFR 50.24) require that such committees be established to monitor studies conducted in emergency settings.
Systematic gathering of data for a particular purpose from various sources, including questionnaires, interviews, observation, existing records, and electronic devices. The process is usually preliminary to statistical analysis of the data.
Analysis based on the mathematical function first formulated by Jean-Baptiste-Joseph Fourier in 1807. The function, known as the Fourier transform, describes the sinusoidal pattern of any fluctuating pattern in the physical world in terms of its amplitude and its phase. It has broad applications in biomedicine, e.g., analysis of the x-ray crystallography data pivotal in identifying the double helical nature of DNA and in analysis of other molecules, including viruses, and the modified back-projection algorithm universally used in computerized tomography imaging, etc. (From Segen, The Dictionary of Modern Medicine, 1992)
The addition of descriptive information about the function or structure of a molecular sequence to its MOLECULAR SEQUENCE DATA record.
Signal and data processing method that uses decomposition of wavelets to approximate, estimate, or compress signals with finite time and frequency domains. It represents a signal or data in terms of a fast decaying wavelet series from the original prototype wavelet, called the mother wavelet. This mathematical algorithm has been adopted widely in biomedical disciplines for data and signal processing in noise removal and audio/image compression (e.g., EEG and MRI).
Diabetes is a lifelong condition that causes a person's blood sugar level to become too high. The two main types of diabetes are: type 1 diabetes type 2 diabetes In the UK, diabetes affects approximately 2.9 million people. There are a...
Endocrine disorders are grouped into two categories: hormone imbalance - when a gland produces too much or too little of an endocrine hormone development of lesions (such as nodules or tumors) in the endocrine system, which may or may not affect...