Population and Individual Level Meal Response Patterns in Continuous Glucose Data

Danilo Ferreira de Carvalho, Uzay Kaymak, Pieter van Gorp, Natal van Riel

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Diabetes research has changed with the introduction of wearables that are able to continuously collect physiological data (e.g., blood glucose levels), which has allowed for data-driven solutions. In this context, patients are still expected to self-record events tied to their daily routines (e.g., meals). Since self-recording is prone to errors, automatic detection of meal events could improve the quality of event data and reduce registration burden. In this paper, we investigate the feasibility of meal detection from continuous glucose data by using population level data compared to individual data. We discuss the advantages and disadvantages of both approaches based on a method to identify patterns in time series that can be used to map the characteristics of a glucose signal response to a meal event. Event responses, i.e., subsequences that come right after a recorded event, are identified and fuzzy clustering is used to group different types of them. Our results indicate that both population and individual data give comparable results, which suggests that both could be used interchangeably to develop event identification models.
Original languageEnglish
Title of host publicationInformation Processing and Management of Uncertainty in Knowledge-Based Systems - 19th International Conference, IPMU 2022, Proceedings
EditorsDavide Ciucci, Inés Couso, Jesús Medina, Dominik Ślęzak, Davide Petturiti, Bernadette Bouchon-Meunier, Ronald R. Yager
PublisherSpringer Science and Business Media Deutschland GmbH
Pages235-247
Number of pages13
Volume1602 CCIS
ISBN (Print)9783031089732
DOIs
Publication statusPublished - 2022
Event19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2022 - Milan, Italy
Duration: 11 Jul 202215 Jul 2022

Publication series

NameCommunications in Computer and Information Science
Volume1602 CCIS

Conference

Conference19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2022
Country/TerritoryItaly
CityMilan
Period11/07/202215/07/2022

Keywords

  • Continuous glucose data
  • Distance profile
  • Fuzzy clustering
  • Meal detection
  • Pattern identification

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