Identification of CGM Time Delays and Implications for BG Control in T1DM

Florian Reiterer; Philipp Polterauer; Guido Freckmann; Luigi Del Re

doi:10.1007/978-3-319-32703-7_39

Identification of CGM Time Delays and Implications for BG Control in T1DM

Florian Reiterer
, Philipp Polterauer
, Guido Freckmann
, Luigi Del Re

Institute for Machine Intelligence

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

Continuous glucose monitoring (CGM) systems are becoming increasingly popular for the management of type 1 diabetes mellitus (T1DM). However, one of the limitations of using CGM information for blood glucose (BG) control is the fact that the CGM sensor measures the glucose not in the blood, but in the interstitial fluid. The current paper shows how a sensor and patient-specific time delay between interstitial glucose (IG) and blood glucose (BG) can be identified from CGM recordings and BG measurements. The resulting time delay values were found to be highly patient-specific and correlated with patient characteristics. Furthermore, it was found that the CGM time delays are a good predictor for the required total daily dose (TDD) of insulin, as well as for the carbohydrate-to-insulin-ratio (CIR). Based on these findings we introduce a method of how insulin therapy in T1DM could possibly be adjusted based on identified CGM time delays.

Original language	English
Title of host publication	IFMBE Proceedings, XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016
Editors	Efthyvoulos Kyriacou, Stelios Christofides, Constantinos S. Pattichis
Publisher	Springer
Pages	190-195
Number of pages	6
Volume	57
ISBN (Print)	978-3-319-32701-3
DOIs	https://doi.org/10.1007/978-3-319-32703-7_39
Publication status	Published - Apr 2016

Publication series

Name	IFMBE Proceedings
Volume	57
ISSN (Print)	1680-0737

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Fields of science

206002 Electro-medical engineering
207109 Pollutant emission
202 Electrical Engineering, Electronics, Information Engineering
202027 Mechatronics
202034 Control engineering
203027 Internal combustion engines
206001 Biomedical engineering

JKU Focus areas

Mechatronics and Information Processing

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10.1007/978-3-319-32703-7_39

Cite this

Reiterer, F., Polterauer, P., Freckmann, G., & Del Re, L. (2016). Identification of CGM Time Delays and Implications for BG Control in T1DM. In E. Kyriacou, S. Christofides, & C. S. Pattichis (Eds.), IFMBE Proceedings, XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016 (Vol. 57, pp. 190-195). (IFMBE Proceedings; Vol. 57). Springer. https://doi.org/10.1007/978-3-319-32703-7_39

Reiterer, Florian ; Polterauer, Philipp ; Freckmann, Guido et al. / Identification of CGM Time Delays and Implications for BG Control in T1DM. IFMBE Proceedings, XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. editor / Efthyvoulos Kyriacou ; Stelios Christofides ; Constantinos S. Pattichis. Vol. 57 Springer, 2016. pp. 190-195 (IFMBE Proceedings).

@inproceedings{f61a474d2de845909838c71e64c7cd80,

title = "Identification of CGM Time Delays and Implications for BG Control in T1DM",

abstract = "Continuous glucose monitoring (CGM) systems are becoming increasingly popular for the management of type 1 diabetes mellitus (T1DM). However, one of the limitations of using CGM information for blood glucose (BG) control is the fact that the CGM sensor measures the glucose not in the blood, but in the interstitial fluid. The current paper shows how a sensor and patient-specific time delay between interstitial glucose (IG) and blood glucose (BG) can be identified from CGM recordings and BG measurements. The resulting time delay values were found to be highly patient-specific and correlated with patient characteristics. Furthermore, it was found that the CGM time delays are a good predictor for the required total daily dose (TDD) of insulin, as well as for the carbohydrate-to-insulin-ratio (CIR). Based on these findings we introduce a method of how insulin therapy in T1DM could possibly be adjusted based on identified CGM time delays.",

author = "Florian Reiterer and Philipp Polterauer and Guido Freckmann and \{Del Re\}, Luigi",

year = "2016",

month = apr,

doi = "10.1007/978-3-319-32703-7\_39",

language = "English",

isbn = "978-3-319-32701-3",

volume = "57",

series = "IFMBE Proceedings",

publisher = "Springer",

pages = "190--195",

editor = "Efthyvoulos Kyriacou and Stelios Christofides and Pattichis, \{Constantinos S.\}",

booktitle = "IFMBE Proceedings, XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016",

}

Reiterer, F, Polterauer, P, Freckmann, G & Del Re, L 2016, Identification of CGM Time Delays and Implications for BG Control in T1DM. in E Kyriacou, S Christofides & CS Pattichis (eds), IFMBE Proceedings, XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. vol. 57, IFMBE Proceedings, vol. 57, Springer, pp. 190-195. https://doi.org/10.1007/978-3-319-32703-7_39

Identification of CGM Time Delays and Implications for BG Control in T1DM. / Reiterer, Florian; Polterauer, Philipp; Freckmann, Guido et al.
IFMBE Proceedings, XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. ed. / Efthyvoulos Kyriacou; Stelios Christofides; Constantinos S. Pattichis. Vol. 57 Springer, 2016. p. 190-195 (IFMBE Proceedings; Vol. 57).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Identification of CGM Time Delays and Implications for BG Control in T1DM

AU - Reiterer, Florian

AU - Polterauer, Philipp

AU - Freckmann, Guido

AU - Del Re, Luigi

PY - 2016/4

Y1 - 2016/4

N2 - Continuous glucose monitoring (CGM) systems are becoming increasingly popular for the management of type 1 diabetes mellitus (T1DM). However, one of the limitations of using CGM information for blood glucose (BG) control is the fact that the CGM sensor measures the glucose not in the blood, but in the interstitial fluid. The current paper shows how a sensor and patient-specific time delay between interstitial glucose (IG) and blood glucose (BG) can be identified from CGM recordings and BG measurements. The resulting time delay values were found to be highly patient-specific and correlated with patient characteristics. Furthermore, it was found that the CGM time delays are a good predictor for the required total daily dose (TDD) of insulin, as well as for the carbohydrate-to-insulin-ratio (CIR). Based on these findings we introduce a method of how insulin therapy in T1DM could possibly be adjusted based on identified CGM time delays.

AB - Continuous glucose monitoring (CGM) systems are becoming increasingly popular for the management of type 1 diabetes mellitus (T1DM). However, one of the limitations of using CGM information for blood glucose (BG) control is the fact that the CGM sensor measures the glucose not in the blood, but in the interstitial fluid. The current paper shows how a sensor and patient-specific time delay between interstitial glucose (IG) and blood glucose (BG) can be identified from CGM recordings and BG measurements. The resulting time delay values were found to be highly patient-specific and correlated with patient characteristics. Furthermore, it was found that the CGM time delays are a good predictor for the required total daily dose (TDD) of insulin, as well as for the carbohydrate-to-insulin-ratio (CIR). Based on these findings we introduce a method of how insulin therapy in T1DM could possibly be adjusted based on identified CGM time delays.

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Reiterer F, Polterauer P, Freckmann G, Del Re L. Identification of CGM Time Delays and Implications for BG Control in T1DM. In Kyriacou E, Christofides S, Pattichis CS, editors, IFMBE Proceedings, XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. Vol. 57. Springer. 2016. p. 190-195. (IFMBE Proceedings). doi: 10.1007/978-3-319-32703-7_39

Identification of CGM Time Delays and Implications for BG Control in T1DM

Abstract

Publication series

UN SDGs

Fields of science

JKU Focus areas

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