Postprandial Peak Identification from Continuous Glucose Monitoring Time Series

Aikaterini Archavli; Harpal Randeva; Natasha Khovanova

doi:10.1007/978-3-031-49062-0_11

ScienceGate Book Chapters

BOOK-CHAPTER

Postprandial Peak Identification from Continuous Glucose Monitoring Time Series

Aikaterini Archavli Harpal Randeva Natasha Khovanova

Year: 2024 World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany Pages: 96-107 Publisher: Springer Nature

DOI: 10.1007/978-3-031-49062-0_11

Get Full-Text PDF Get Analytical Report

Keywords:

Postprandial Meal Type 2 diabetes Medicine Identification (biology) Type 1 diabetes Computer science Continuous glucose monitoring Diabetes mellitus Insulin Internal medicine Endocrinology Biology

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.01

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Diabetes Management and Research

Health Sciences → Medicine → Endocrinology, Diabetes and Metabolism

Heart Rate Variability and Autonomic Control

Health Sciences → Medicine → Cardiology and Cardiovascular Medicine

Pancreatic function and diabetes

Health Sciences → Medicine → Surgery

Postprandial Peak Identification from Continuous Glucose Monitoring Time Series

Metrics

Topics

Related Documents

Time to peak postprandial glucose levels in childhood-onset diabetic patients analyzed with a continuous glucose monitoring system

Continuous Glucose Monitoring Time Series Data Analysis: A Time Series Analysis Package for Continuous Glucose Monitoring Data

Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series

Discordance between postprandial plasma glucose measurement and continuous glucose monitoring

Decreasing complexity of glucose time series derived from continuous glucose monitoring is correlated with deteriorating glucose regulation