Related Experiment Video
Updated: Sep 9, 2025
03:25
Simple Continuous Glucose Monitoring in Freely Moving Mice
Published on: February 24, 2023
6.0K
Glucose360: An Open-Source Python Platform with Event-Based Integration for Continuous Glucose Monitoring Data
Ben Ehlert1, Dhruv Aron2,3, Dalia Perelman2,4
1Department of Biomedical Data Science, Stanford University, Stanford, California, USA.
Diabetes Technology & Therapeutics
|September 3, 2025
Summary
Glucose360 integrates continuous glucose monitoring (CGM) data with food logs, offering advanced glycemic variability metrics and visualizations. This open-source tool enhances glucose management for individuals and researchers.
Area of Science:
- Metabolic Health
- Biomedical Data Science
- Wearable Technology
Background:
- Continuous glucose monitoring (CGM) is vital for diabetes management, but current applications often lack integration with dietary data and advanced analytics.
- Existing CGM tools present challenges for researchers due to proprietary systems, complex programming needs, and limited postprandial or glycemic variability (GV) analysis.
- There is a clear need for user-friendly, integrated solutions that provide comprehensive CGM data analysis and visualization.
Purpose of the Study:
- To develop Glucose360, an open-source framework and web application for integrated CGM data analysis.
- To address limitations in current CGM applications, including insufficient event-specific analytics and lack of user-friendly interfaces.
- To provide researchers and individuals with advanced tools for analyzing glucose levels in relation to dietary and lifestyle factors.
Main Methods:
- Developed Glucose360, an open-source Python framework for event-based CGM data integration and analysis.
- Implemented automated calculation of glucose metrics for meals, exercise, and other short-interval events.
- Created a user-friendly web application (vurhd2.shinyapps.io/glucose360/) for accessible data analysis.
Main Results:
- Glucose360 offers an open-source Python framework for seamless CGM data integration and analysis.
- Automated calculation of key glucose metrics, including those specific to meals and exercise, is a core feature.
- A web application provides an accessible interface for users with minimal programming experience.
Conclusions:
- Glucose360 provides a comprehensive pipeline for analyzing CGM data, benefiting both individuals managing their glucose and researchers.
- The open-source nature and user-friendly design of Glucose360 promote wider adoption and application in diabetes research and self-management.
- This tool facilitates deeper insights into glucose dynamics by integrating CGM data with lifestyle factors.
Keywords:
Python packagecontinuous glucose monitoringglucose data analysisglucose lifestyle managementglycemic variabilityopen-source softwareMore Related Videos
08:22Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
Published on: April 26, 2024
2.1K
11:21Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
8.3K
Related Concept Videos
01:16Hormones Regulating Blood Glucose
4.0K
Insulin is released by beta cells of the pancreas when blood glucose levels are high. It facilitates glucose absorption and utilization in insulin-dependent cells with insulin receptors on their plasma membranes. Insulin promotes glucose uptake by increasing the number of glucose transport proteins in the cell membrane, allowing glucose to enter the cell. As a result, glucose utilization and ATP production are enhanced.
In addition to accelerating glucose uptake and utilization, insulin has...
In addition to accelerating glucose uptake and utilization, insulin has...
4.0K
01:02Glucose Homeostasis: Regulation of Blood Glucose
2.5K
Carbohydrates consumed through foods are converted into glucose, a crucial energy source for the body. In the prandial state, high blood glucose levels stimulate the secretion of insulin from the pancreas. Insulin inhibits hepatic glucose production and stimulates glucose uptake and metabolism by muscle and adipose tissue. The excess glucose is converted into glycogen and stored in the liver and muscles.
During fasting, when blood glucose levels are low, the pancreas secretes glucagon. it...
During fasting, when blood glucose levels are low, the pancreas secretes glucagon. it...
2.5K
01:27Glucose Transporters
24.1K
Glucose transporters facilitate the transport of glucose across the cell membrane. In addition to glucose, some glucose transporters can also aid the movement of other hexoses such as fructose, mannose, and galactose.
Facilitated diffusion-glucose transporters (GLUTs) are encoded by the solute-linked carrier (SLC) family 2, subfamily A gene family, or SLC2A. The 14 GLUT protein members are distributed into three classes:
Facilitated diffusion-glucose transporters (GLUTs) are encoded by the solute-linked carrier (SLC) family 2, subfamily A gene family, or SLC2A. The 14 GLUT protein members are distributed into three classes:
24.1K
01:25Errors occurring during blood pressure monitoring
964
Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
Several factors...
964
01:24Pulse Oximetry
407
Pulse oximetry, or SpO2, is a non-invasive method for continuously monitoring arterial oxygen saturation (SaO2). This procedure involves attaching a probe or sensor to the patient's fingertip, forehead, earlobe, or nose bridge. The sensor works by detecting changes in oxygen saturation levels through light signals generated by the oximeter and reflected by the pulsing blood under the probe.
Purpose
Average SpO2 values are greater than 95%. If the readings fall below 90%, it indicates that...
Purpose
Average SpO2 values are greater than 95%. If the readings fall below 90%, it indicates that...
407
01:30Pulse rhythm
925
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
925